Snowflake Inc (SNOW)

What If the Best Way to Protect Data Was to Delete It First?June 3, 2026 11:51 AM
PR Newswire (Canada) Issued on behalf of Integrated Quantum TechnologiesVANCOUVER, BC, June 3, 2026 /CNW/ -- Equity-Insider.com News Commentary — Every few years, a security idea comes along that inverts the usual logic. For decades, the strategy for protecting sensitive data has been to build higher walls around it — stronger encryption, tighter access controls, better monitoring. But attackers keep finding ways over, under, and through the walls, and the explosion of artificial intelligence has made the problem worse by pouring more sensitive data into more systems than ever before. So a handful of companies have started asking a different question: what if you simply removed the sensitive data from the equation entirely, so there is nothing valuable left to steal? That is the bet at the heart of Integrated Quantum Technologies, and on June 3, 2026 the company introduced and integrated it into Snowflake's AI Data Cloud, a leading global platform.The launch
At Snowflake Summit 26, Integrated Cyber Solutions Inc. (CSE: ICS) (OTCQB: IGCRF) (FSE: Y4G), doing business as Integrated Quantum Technologies, launched VEIL™ on the Snowflake AI Data Cloud. The integration is designed to let enterprises secure sensitive data before it ever enters machine-learning pipelines, using a privacy-preserving framework that removes personally identifiable information — PII — while conserving and even enhancing the data's usefulness for training and running AI models.The elegance of the approach is in its inversion of the usual trade-off. Conventional security assumes you must choose between protecting data and using it; lock it down and it is safe but less useful, open it up and it is useful but exposed. VEIL™'s pitch is that you can have both — strip out the identifiers that make data dangerous, transform what remains into compact, secured representations, and feed those into models that are just as powerful, arguably more so. As EVP of AI & Innovation Jeremy Samuelson put it, the goal is to "protect the data that powers ML models without limiting their value and without willingly exposing it by using aging frameworks.""The time has come where we need to stop giving attackers any chance of getting what they want. We need to remove it instead," Samuelson said. "VEIL™ does that — it removes PII and transforms data into secure, ultra compact representations, delivering super-charged ML models and next-gen security.""As organizations scale their use of AI, protecting sensitive data and maintaining trust remain critical priorities across the industry," said Amy Kodl, the company's SVP of Worldwide Alliances & Channels.See how VEIL™ fits into the AI-security landscape — view the full Integrated Quantum Technologies briefing here.Why now: two threats, one answer
The timing reflects two threats converging at once. The first is immediate: AI is increasingly being used to automate and accelerate cyberattacks, raising the stakes for any organization holding sensitive data. The second is on a clock: quantum computing has created what security professionals call a "harvest now, decrypt later" threat — the risk that adversaries capture encrypted data today and decrypt it once quantum hardware matures. For data that must stay private for years, that future threat is effectively a present-day risk.VEIL™ is designed to bridge that gap, addressing emerging post-quantum security risks, growing compute demands, and the rising complexity of deploying AI at scale. By removing sensitive identifiers up front, the approach attacks both problems simultaneously: there is less to steal in an AI-automated breach today, and less to decrypt in a quantum-enabled one tomorrow. It is the first commercial product under the company's broader AIQu™ platform — its long-term framework for privacy-preserving, resilient AI — alongside its Managed Services and SecureGuard360™ monitoring platform.The company it now keeps
Launching on the Snowflake AI Data Cloud places Integrated Quantum Technologies in the orbit of some of the most consequential names in data and AI — a useful way to understand the landscape it is entering, even though these companies operate at vastly larger scale.The most direct reference point is Snowflake Inc. (NYSE: SNOW) itself, the cloud-native data platform on which VEIL™ now runs. Snowflake has spent the past two years repositioning itself as an AI Data Cloud, encouraging partners to build security, governance and AI tools directly on its platform so enterprises can adopt them without operational friction. For a company like Integrated Quantum, that partner ecosystem is the on-ramp to thousands of large customers; security partners like VEIL™ help address the data-protection concerns that can otherwise slow AI adoption.Palantir Technologies Inc. (NASDAQ: PLTR) offers a second reference point as the company that has most aggressively turned sensitive-data analytics into an enterprise and government franchise. Palantir's platforms are built around the premise that the value of data lies in connecting and analyzing it — which makes protecting that data while preserving its utility exactly the problem privacy-preserving tools aim to solve. Palantir illustrates the scale of demand for trusted analysis of sensitive information, the same demand Integrated Quantum is targeting from the security side.Cloudflare, Inc. (NYSE: NET) shows how quickly post-quantum security is moving from theory into infrastructure. Cloudflare has rolled out post-quantum cryptography across its network, encrypting a growing share of internet traffic with quantum-resistant protocols and making the technology available to the millions of websites and applications it serves. Cloudflare demonstrates that quantum-safe security is not a distant concept but something already being deployed at internet scale — validating the urgency behind Integrated Quantum's post-quantum positioning.Rubrik, Inc. (NYSE: RBRK) rounds out the set as a data-security and cyber-resilience company focused on protecting and recovering enterprise data. As organizations pour data into AI systems, the question of how to secure, govern and recover that data becomes central — and Rubrik's rapid growth reflects how much enterprises are willing to spend on data security specifically. Rubrik underscores that data protection has become its own high-growth category, the broad market into which Integrated Quantum's narrower "remove the sensitive data" approach fits.Across these names, the throughline is unmistakable: data has become both the fuel of AI and its biggest liability, and the market is rewarding companies that can make sensitive data safe to use. Integrated Quantum Technologies is attacking that problem from a distinctive angle — removing the sensitive data rather than merely guarding it — at a far earlier stage than these established players, but on the same platform many of them already touch.Want the full VEIL™ and AIQu™ platform story? Explore the Integrated Quantum Technologies breakdown here.What to watch
The launch is a milestone, not a finish line. Integrated Quantum Technologies is an early-commercial micro-cap, and the questions that matter now are about traction: whether joint Snowflake customers adopt VEIL™, whether that adoption converts into revenue, and whether the company can build out the rest of its AIQu™ platform behind it. Investors will also watch for follow-on partnerships and any certification or compliance milestones that make the product easier for large, regulated enterprises to buy.None of that is guaranteed, and the risks — adoption, execution, competition from far larger companies, and the inherent uncertainty of an early-stage technology — are real. But the idea at the core of VEIL™ is genuinely timely: in a world where AI keeps multiplying the amount of sensitive data in motion and quantum computing threatens the encryption protecting it, "remove the data" is a compelling answer to a problem that is only getting bigger. The coming quarters will reveal whether the market agrees.Stay ahead of the next Integrated Quantum Technologies update — get the full story here.TRACK THE TREND WITH EAGLE EYE:
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Snowflake Pioneers New Open Framework for Interoperable Enterprise Data and AIJune 2, 2026 9:06 AM
Business Wire Snowflake advances interoperability without compromise across every layer of modern data architecture, enabling teams and AI agents to work from a single, governed, and logical data copy Interoperable By Design: Snowflake enables data to work seamlessly across clouds, tools, and engines without vendor lock-in with general availability support for Apache Iceberg v3®, the broadest feature support on the market, and Snowflake Storage for Apache Iceberg Tables, delivering a complete interoperable platform for managing Apache Iceberg Universal Governance at Scale: Snowflake provides a centralized way to apply governance features consistently and securely across all data and platforms through Snowflake Horizon Catalog capabilities, powered by Apache® Polaris, for bi-directional Iceberg interoperability Powering Enterprises: Organizations including Affirm, Indeed, NTT DOCOMO, and Samsung Ads are using Snowflake to simplify their data architectures and build AI on a consistent, trusted foundation SNOWFLAKE SUMMIT 2026 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Snowflake Summit 26 new capabilities that redefine interoperability for the AI era, enabling organizations to seamlessly access, govern, share, and act on data across systems without compromise. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260602477507/en/Snowflake Pioneers New Open Framework for Interoperable Enterprise Data and AI For the first time, enterprises can work on a single, live, governed copy of their data wherever it resides across Snowflake, external lakes, and open systems, without moving or duplicating it. Powered by Snowflake Horizon Catalog, organizations can now transform siloed data into a connected, AI-ready foundation where users and AI agents securely discover, govern, and access their full business context. Snowflake is advancing open interoperability with support for Apache Iceberg v35, 1 and Snowflake Storage for Apache Iceberg Tables5, 1, enabling teams to seamlessly work across data inside and outside of Snowflake, while minimizing data movement. In addition, Horizon Catalog powered by Apache Polaris6 enables bi-directional read and write access1 using external engines to Iceberg data managed by Snowflake. Snowflake also extends consistent governance across open ecosystems with external engine access management4 and support for Iceberg REST Scan Plan API4, ensuring fine grained protections apply across compatible engines. Together, these capabilities give organizations a unified, governed foundation for data and AI, unlocking interoperability without compromise. “Most organizations still rely on moving and duplicating data just to make it usable, and that approach simply cannot keep up with the pace of AI. As innovation accelerates, data fragmentation becomes the constraint,” said Christian Kleinerman, EVP of Product, Snowflake. “We are fully committed to interoperability and openness. With Snowflake’s capabilities, we are ushering in a new model for enterprise data, where customers can work directly on live, governed data wherever it resides through a single, connected governance plane. By eliminating duplication and defining shared business meaning through semantic views, we’re establishing a consistent, trusted foundation for both teams and AI agents.” "At Affirm, delivering transparent and responsible financial products starts with having a clear, consistent view of our data,” said Vivek Anandpara, VP of Engineering, Affirm. “Snowflake enables us to work across systems without duplicating data, while applying governance consistently across our environment. This gives our teams a trusted foundation to move faster, improve decisioning, and scale AI with confidence. Our migration of thousands of tables and critical financial workloads to Polaris using Snowflake's interoperable and governed data foundation proved that out — Snowflake partnered closely with us to deliver zero-downtime correctness at scale." Open, Multi-Engine Access with the Interoperable Lakehouse for the AI Era As enterprises scale their AI initiatives, traditional architectures create complexity and drive up costs. Data is often fragmented across platforms and operational systems, forcing organizations to spend valuable time copying, stitching together, and reconciling data before it can be used. This operational overhead delays AI initiatives and creates inconsistent data foundations that make it harder for AI systems to deliver reliable outcomes. Snowflake removes these barriers by enabling teams to work directly on live data wherever it resides, without movement or duplication. By combining open connectivity, intelligent querying, and support for open standards, Snowflake creates a single data foundation that allows organizations to access, understand, share, and act on all their data. New interoperability features enable organizations to: Build on open standards with Apache Iceberg: With Apache Iceberg v3 support now generally available, Snowflake delivers broad support for the latest open table format innovations, including more data types, cross-system change tracking, and high performance on semi-structured data. This helps organizations eliminate fragmented data architectures and reduce costly data movement across platforms and engines. Coupled with Snowflake Storage for Apache Iceberg Tables, organizations can now reduce data movement and operational overhead with a fully managed experience for open data at scale. Access and activate key enterprise data without movement: Snowflake, powered by native Apache Iceberg support and Horizon Context, enables organizations to seamlessly access and act on data across Snowflake and external data lakes without moving or duplicating it. Major platforms like SAP1, Salesforce2, and Workday4, along with new partnerships with AVEVA and IBM, can be accessed without replication using Zero-Copy Integrations, while preserving the business context, policies, and logic that power critical operations and decisions. A dedicated Skill for SAP1 in Snowflake CoCo, Snowflake’s AI coding agent, streamlines how developers connect to, explore, and manage SAP data within Snowflake. Securely talk to all data: Organizations can now empower users to self-serve trusted business insights across their entire data estate using natural language, without requiring manual integration or deep technical expertise. CoCo enables users to ask questions across Snowflake, external data lakes, and now, external relational database systems4, while Horizon Context automatically identifies the right data and applies trusted business context. This enables faster, more reliable decision making on a fully governed data platform. Make shared data instantly agentic: Auto-gen Agents for Data Shares and Listings3 let providers turn any shared data listing or secure data share into a conversational AI agent, ready to use in CoCo, Snowflake CoWork, or Snowsight. With Cortex Agent Sharing3, agents can be deployed across Snowflake accounts to internal teams, partners, or in Snowflake Marketplace. Consumers can ask questions in natural language, combine shared data with their own first-party data for richer insights, and get enterprise governance out of the box. “At Indeed, we empower our teams to securely access and act on trusted data across systems, which actively drives our global scale and creates better hiring experiences,” said Trey Henninger, VP Data and Analytics, Indeed. “Snowflake’s interoperable approach streamlines our architecture, slashing unnecessary data movement while maintaining strict governance and flexibility across platforms. This builds a powerhouse foundation for innovation and accelerates how quickly we deploy new AI-powered capabilities.” “As we expand our data and AI initiatives, it’s critical that we can work across systems without adding complexity,” said Yoshio Umezawa, Vice President General Manager of Service Innovation Department R&D Innovation Division, NTT DOCOMO, INC. “Snowflake allows us to access and govern data wherever it resides, while maintaining a consistent, trusted foundation. This helps our teams move faster, reduce operational overhead, and deliver more intelligent services to our customers.” “At Samsung Ads, delivering relevant and measurable advertising experiences depends on having seamless access to trusted data across a complex ecosystem,” said Hervé Marcellini, Vice President of Engineering, Samsung Ads. “Snowflake enables us to work across systems without duplicating data, while maintaining consistent governance throughout our environment. This allows our teams to move faster, improve targeting and measurement, and scale AI-driven innovation with confidence.” Centralized Governance and Control Across Systems As data becomes increasingly distributed and AI systems operate with greater autonomy, organizations face growing challenges in consistently governing, securing, and auditing data across every system where it is accessed, shared, and used. Snowflake addresses this challenge with Horizon Catalog, powered by Apache Polaris6, providing a single, connected foundation for governance across enterprise data inside and outside of Snowflake. By centralizing how data is discovered, secured, and monitored, Horizon Catalog ensures policies are applied consistently, access is controlled across environments, and organizations can operate with confidence as they scale AI on a single, governed, and live data copy. New capabilities in Horizon Catalog enable organizations to: Securely access Snowflake managed Iceberg tables through open security controls: Snowflake managed Iceberg tables deliver optimized performance on Snowflake, while providing flexible controls to improve performance across other engines. Horizon Catalog, powered by Apache Polaris6, enables secure, governed, bi-directional read and write access to Snowflake managed Iceberg tables from external engines through open, standards-based access controls defined by the Iceberg community. This ensures organizations can connect multi-platform data architectures under one governance layer, without proprietary lock in or operational friction. Achieve universal access controls across engines for any Iceberg Table: Building on Catalog Linked Databases, which automatically make external Iceberg Tables discoverable and accessible in Snowflake, organizations can now use external engine access management4 to enable secure engine access to external tables for read and write operations, making Horizon Catalog the universal catalog for enterprise data. The result is a single, metadata driven control plane that unifies governance, security, and policy enforcement across multi-catalog environments. Extend consistent governance across environments: Support for Data Protection Policies1, such as column masking and row access enforcement using the open source Iceberg REST Scan Plan API, ensures fine-grained access control across Iceberg-compatible engines. Combined with Sensitive Data Classification1 and Data Quality controls1, Snowflake customers can now define policies and centrally manage governance in Horizon Catalog. This universal governance layer for all Iceberg tables enables organizations to seamlessly discover, secure, and govern data across environments. Share data across any engine or platform: Open Data Sharing enables organizations to securely share data and AI assets with customers, partners, and internal teams on any engine, without copies. Recipients access directly from the platforms, tools, and engines of their choice with consistent governance and lineage intact. With no data movement, duplicate compute, or vendor lock-in, customers benefit from simpler collaboration, lower infrastructure costs, and greater flexibility. Providers share once, and consumers access from anywhere. Gain full visibility and auditability across systems: Connected Audit Access in Horizon4 and new observability for externally managed Iceberg Tables4 give organizations a centralized view into data access and pipeline health across Snowflake and external environments, helping teams proactively monitor activity, troubleshoot issues faster, and operate with greater confidence. Learn More: Deep dive into how Snowflake’s latest innovations are enabling open, governed, AI-ready data architectures across any cloud, engine, and enterprise system in this blog post. Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. 1Snowflake product is now generally available.
2Snowflake product is generally available soon.
3Snowflake product is now in public preview.
4Snowflake product is now in private preview.
5Apache Iceberg® is a high-performance format for huge analytic tables. “Apache” is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries.
6Apache® Polaris is an open-source data catalog for managing and governing data lakehouse environments. “Apache” is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Forward-Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). View source version on businesswire.com: https://www.businesswire.com/news/home/20260602477507/en/ Media Contacts:
Daria Bianchini
Product PR Specialist, Snowflake
press@snowflake.com Original: Snowflake Pioneers New Open Framework for Interoperable Enterprise Data and AI

Sanofi Chooses Snowflake to Accelerate its AI-Powered Drug DevelopmentJune 2, 2026 9:08 AM
Business Wire Sanofi is reinventing drug development on Snowflake, bringing AI directly to its data with the goal of becoming the first biopharma company powered by AI at scale New Blueprint for Biopharma: Sanofi moves to a unified, AI-ready foundation that powers faster decisions across R&D, manufacturing, and commercial AI Replacing Applications: Snowflake Cortex AI, including Snowflake CoWork and AI workflow partner Elementum, power AI directly on Sanofi's data Proven in the Field: Sanofi's new "Concierge for Field" agent equips sales reps with AI-generated pre-call plans in seconds SNOWFLAKE SUMMIT 26 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Snowflake Summit 26 that Sanofi, one of the world's leading biopharmaceutical companies, has established a new blueprint for AI-powered biopharma with its launch of "Concierge for Field," a new AI agent built with Snowflake Cortex AI that prepares Sanofi's global sales representatives for every physician or provider visit. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260602582503/en/Sanofi Chooses Snowflake to Accelerate its AI-Powered Drug Development In a single conversation, a rep can ask for a pre-call plan and immediately see the highest-priority physician based on specialty and prescribing history, review past engagement, and have the full plan emailed to their inbox. What used to take hours of manual research now happens in seconds. Concierge for Field is the most visible example of a much bigger shift: Sanofi is building its agentic journey with Snowflake, deploying AI agents across R&D, procurement, IT, HR, and field sales, and setting a new standard for how the life sciences industry uses data and AI to accelerate science and bring therapies to patients faster. Like many global organizations, Sanofi's early data investments produced thousands of dashboards but left most of the underlying data untapped. The shift came when Sanofi started working with Elementum, the AI-native replacement for legacy SaaS. The company unified its data on Snowflake and paired with the agentic capabilities of Snowflake Cortex AI, including Snowflake CoWork, the personal agent where you work smarter. The result is a fundamentally new operating model. AI workflows built with Elementum run directly on Snowflake, eliminating the friction, cost, and lock-in of traditional enterprise software. The same unified foundation already powers Sanofi's research teams, who use Snowflake to process real-world clinical data at scale, accelerating the analysis that informs drug development decisions. "For years, we have been building complex pipelines to move data in and out of expensive software, just to access our own data," said Emmanuel Frenehard, Chief Digital Officer, Sanofi. "With Snowflake and Elementum, we saw a clear path forward. We are building AI directly on our data and reinventing how the company runs, from R&D to manufacturing to commercial. This is how Sanofi becomes the first biopharma powered by AI at scale." Snowflake's Forward Deployed Engineers, a dedicated team of AI engineers and researchers, full-stack and data engineers, data professionals, industry specialists, and AI product managers, embed directly inside customer teams to co-build AI solutions. This team is working hand-in-hand with Sanofi's data and engineering teams to scale these capabilities, while Elementum's AI applications run directly on the Snowflake platform. "Sanofi is showing what becomes possible when AI is built directly on top of trusted enterprise data," said Sridhar Ramaswamy, CEO of Snowflake. "Instead of layering AI onto fragmented legacy systems, they are using Snowflake as the foundation for a unified, agentic enterprise, connecting research, manufacturing, and commercial operations on a single AI-ready platform. Sanofi is proof that AI is creating measurable impact in the real world. From accelerating drug development to helping field teams operate with greater speed and precision, this is the future Snowflake enables: intelligent systems working directly on governed data to help organizations move faster, operate smarter, and ultimately deliver better outcomes for the people they serve." Learn More: Watch how Sanofi is reinventing the future of biopharma with Snowflake in this customer video. Learn how the AI Data Cloud for Healthcare & Life Sciences helps organizations accelerate innovation and make AI real. Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). View source version on businesswire.com: https://www.businesswire.com/news/home/20260602582503/en/ Media Contacts:
Olivia Kealey
Corporate PR Senior Lead, Snowflake
press@snowflake.com   Original: Sanofi Chooses Snowflake to Accelerate its AI-Powered Drug Development

Thomson Reuters Powers Trusted Enterprise AI at Scale on SnowflakeJune 2, 2026 9:10 AM
Business Wire Thomson Reuters turns governed data into Fiduciary-Grade AI with Snowflake, accelerating development and insights with Snowflake Cortex AI AI at Scale: More than 1,500 Thomson Reuters users rely on Snowflake every day for business-critical decisions and AI-driven insights, running workloads up to 3.4x faster Unified Data Foundation: Thomson Reuters uses Snowflake as its enterprise data foundation, enabling a single source of truth across 37,500+ governed tables and 350 data sources Accelerating with Snowflake Cortex: Thomson Reuters uses Cortex AI to turn complex regulatory data into real-time insights and accelerate intelligent app development   SNOWFLAKE SUMMIT 26 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Snowflake Summit 26 that Thomson Reuters, a global content and technology company serving professionals across legal, tax, and regulatory intelligence, is building its enterprise AI and data platform on Snowflake to deliver trusted, governed intelligence at scale. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260602071878/en/Thomson Reuters Powers Trusted Enterprise AI at Scale on Snowflake Thomson Reuters selected Snowflake in 2021 for its ability to bridge enterprise-grade governance and security capabilities with scalable data infrastructure. Since then, the company has created a single, secure source of truth across more than 37,500 governed tables and 350 data sources. This foundation powers its internal My Data Space platform, where centralized teams build and share trusted data products across the organization. Today, more than 1,500 internal users, including data engineers, analysts, and business leaders, rely on Snowflake to access governed data and generate insights in their daily workflows. "With Snowflake Cortex, we’re accelerating how we build and scale AI across Thomson Reuters,” said Caitlin Halferty, Head of Data & Analytics, Thomson Reuters. “For us, the real value is not just speed. It is the ability to innovate in a governed environment where our teams can turn complex regulatory data into actionable insights while maintaining the trust, control, and reliability required for high-stakes professional use.” Thomson Reuters is also using Snowflake CoCo, Snowflake’s coding agent, to accelerate modernization by helping teams transform legacy systems into Snowflake faster and more efficiently. By simplifying development within a governed environment, CoCo enables teams to scale AI and data innovation without impacting security or compliance. This foundation is already delivering results. As Thomson Reuters consolidates data pipelines supporting flagship products like CoCounsel and Westlaw, key workloads are running up to 3.4 times faster, enabling teams to move from static reporting to near real-time insights. Complex analysis that previously took weeks now takes seconds, with manual data preparation eliminated across key workflows, freeing teams to focus on decisions rather than the data behind them. “Thomson Reuters is demonstrating how enterprises can scale AI and governance together on a single platform,” said Christian Kleinerman, EVP of Product, Snowflake. “By building on Snowflake, they’re creating a trusted foundation that allows teams to move faster and scale AI across the business.” For Thomson Reuters, this governed data foundation is critical to building AI that professionals can rely on in environments where accuracy, accountability, and defensibility matter. Leveraging Snowflake Cortex, Thomson Reuters is moving beyond data management to deliver AI at scale, setting a new standard for enterprise innovation in regulated industries. Learn More: See how Thomson Reuters is building trusted enterprise AI at scale with Snowflake in this customer video. Discover how Snowflake Cortex AI helps organizations unlock governed data, accelerate development, and deliver AI-powered insights. Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). View source version on businesswire.com: https://www.businesswire.com/news/home/20260602071878/en/ Media Contacts:
Courtney Sbrocca
Corporate PR Specialist, Snowflake
press@snowflake.com   Original: Thomson Reuters Powers Trusted Enterprise AI at Scale on Snowflake

Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AIJune 1, 2026 8:00 PM
Business Wire Accelerating Enterprise Adoption: Snowflake and Anthropic’s momentum reflects accelerating enterprise adoption, with customers including Basis, Block, Carvana, eSentire, Indeed, Notion, and more Trusted AI for the Enterprise: Snowflake Cortex AI makes AI ready for enterprise use by bringing governance, security, observability, and scale to Anthropic models operating directly on data within Snowflake Deepening Co-Innovation: Snowflake and Anthropic are deepening co-innovation across Snowflake Cortex AI — with Claude powering Snowflake Cortex Code and Snowflake Intelligence — as well as Claude Marketplace, and security-focused development workflows  SNOWFLAKE SUMMIT 26--Snowflake (NYSE: SNOW), the AI Data Cloud company, and Anthropic, the AI safety and research company, today announced at Snowflake Summit 26 significant momentum in their strategic partnership. Enterprises are increasingly adopting Anthropic Claude in Snowflake Cortex AI, Snowflake’s suite of AI products, driven by growing demand for governed, production-ready AI. Together, Snowflake and Anthropic are helping enterprises move from AI experimentation to production faster. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260601623088/en/Snowflake and Anthropic are defining how enterprises bring AI to governed data, with Claude in Snowflake Cortex AI powering trusted, production-ready AI agents at scale Building on Snowflake’s and Anthropic’s expanded partnership from December 2025, which integrated Claude models directly into Cortex AI across all major cloud platforms and established a joint go-to-market strategy, Snowflake and Anthropic are helping global enterprises deploy AI agents on their most critical business data. Anthropic delivers frontier model capabilities through Claude, while Snowflake makes Claude enterprise-ready, bringing it directly to the data, governance, security, and collaboration environment where customers already operate. Through Cortex AI, customers can use Claude with their Snowflake data, deploy AI agents with enterprise-grade controls, and select the Anthropic model that best fits their specific workload without moving sensitive data outside the Snowflake environment. “The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI,” said Christian Kleinerman, EVP of Product, Snowflake. “Customers want AI that works directly on their governed data, not in isolated systems. We’re seeing strong demand across our AI products, with Snowflake Cortex Code becoming the fastest-growing product in Snowflake’s history. Together with Anthropic, we’re helping organizations move from experimentation to production faster and laying the foundation for the agentic enterprise, where AI, data, and governance work together to drive real business outcomes.” "Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps, and many other workflows,” said Steve Corfield, Head of Global Business Development & Partnerships, Anthropic. “Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work. Together we're making it easy for organizations to use trusted AI on their most critical business data." Enterprise Momentum Across Customers and Partners As enterprises operationalize AI across critical workflows, customers are turning to Snowflake and Anthropic to support advanced use cases that require deep context, strong reasoning, and enterprise-grade controls. These include customer support and financial analysis, as well as life sciences research, developer productivity, and sales intelligence where real business context is critical. This momentum spans every industry as organizations look to run AI directly on governed data within the systems where their businesses already operate. Snowflake’s partner ecosystem extends this value, helping joint customers design, deploy, and scale Snowflake and Anthropic AI solutions to drive real business outcomes. “As marketing environments grow more complex and data-driven, organizations need solutions that optimize performance while operating within a secure, scalable data foundation,” said Hiten Mistry, SVP of Product, Basis. “Leveraging Claude with Snowflake’s trusted environment would empower Basis to deliver deeper insights and more automation across the marketing lifecycle. Basis aligns with Snowflake in delivering the transparency, governance, and flexibility that enterprises need to drive measurable outcomes and scale marketing operations.” “At Block, we’re focused on building an AI-native operating layer that connects intelligent reasoning directly to the trusted data powering our ecosystems across our different brands (including Square, Cash App, and Afterpay),” said Arnaud Weber, Engineering Lead, Block. “By combining Anthropic Claude with Snowflake’s governed data platform, our teams can investigate compliance and security issues in real-time, trace controls and requirements, surface operational insights, and automate workflows grounded in trusted enterprise data. Developers are also using Snowflake Cortex Code to build and operationalize these capabilities directly within Snowflake, creating a unified layer where AI can move seamlessly from analysis to action. This approach helps us reduce friction across investigations and decision-making, while maintaining the governance, performance, and scalability needed to apply AI responsibly across financial services and commerce.” “Carvana manages a highly dynamic operation spanning inventory, logistics, financing, and customer demand,” said Alex Devkar, Senior Vice President of Engineering and Analytics, Carvana. “That complexity makes AI most powerful when it can work securely with governed enterprise data inside the systems our teams already use. By combining Claude with Snowflake, we can move faster, apply AI more effectively, and maintain the controls required to operate at scale.” “Our work with Snowflake and Anthropic brings together leading AI capabilities with a governed data foundation, enabling organizations to embed intelligence directly into their core business processes,” said Jason Salzetti, Chair and CEO, Deloitte Consulting LLP. "Deloitte plays a critical role in helping clients design, build, and scale these solutions, accelerating time to value while supporting the alignment of AI to enterprise standards for risk, compliance, and performance. This collaboration is helping our joint clients turn AI ambition into measurable business outcomes.” "As cyber threats become more sophisticated and move at machine speed, organizations need AI that can reason deeply while operating within a secure, governed data environment," said Dustin Hillard, CPTO, eSentire. "By leveraging Claude within Snowflake's trusted environment, we're able to power AI-led threat investigations that autonomously handle Tier 1 analysis, freeing our SOC analysts to focus on complex threats with greater speed and precision. This approach gives our customers the transparency, governance, and operational scale required to confidently deploy AI in mission-critical cybersecurity workflows." “At Indeed, our mission is to help people get jobs. We use intelligent, AI-driven solutions to make the hiring process seamless and efficient for everyone,” Trey Henninger, VP Data and Analytics, Indeed. “Harnessing Anthropic Claude within Snowflake’s trusted AI Data Cloud allows us to make our data interactable for all Indeed employees. This shift to self-service analytics means we move from data to insights much faster, ultimately improving the hiring process with personalized experiences for job seekers and sophisticated, data-driven tools for employers.” “Notion is defining how AI and enterprise data come together in the modern workspace, bringing intelligence directly into the flow of everyday work,” said Ravi Menon, Head of Data, Notion. “By integrating models like Claude with Snowflake’s governed data platform, we’re giving teams the ability to generate content, synthesize knowledge, and access real time business insights all in one place. We’ve created agents like Data Scout that pull directly from Snowflake, helping customers move from question to insight to action without friction. The result is a more powerful and trusted experience, where AI is grounded in secure, reliable data and teams can make faster, more confident decisions.” Snowflake and Anthropic Co-Innovate to Bring Governed AI to the Enterprise Snowflake and Anthropic are partnering closely to help enterprises build AI that is powerful, secure, and deeply grounded in their business context. The two companies have rapidly expanded their co-innovation, working in lockstep to bring advanced AI capabilities into production for enterprise customers. This deep collaboration reflects a shared commitment to making AI practical, governed, and scalable for real business use cases. Key areas of innovation include: Apply advanced AI to governed enterprise data: Snowflake brings Anthropic Claude models into Cortex AI so customers can use frontier reasoning across all data types while maintaining Snowflake governance and security controls. Empower knowledge workers to turn data into action: Snowflake Intelligence, the personal agent that helps you work smarter, is powered by industry-leading models like Claude to enable natural language queries, reasoning across enterprise data, and helps turn insights into action. By combining deep business context with trusted governance and frontier AI models, Snowflake Intelligence helps teams move beyond static dashboards to uncover the “why” and accelerate faster, more confident decision-making. Accelerate developer productivity on enterprise data workloads: Snowflake Cortex Code, the coding agent where you build faster, which has become Snowflake’s fastest-growing product ever with more than 7,100 users, is also powered by leading models like Claude. It is purpose-built for Snowflake schemas, data apps, and workflows. It translates a single prompt into production ready pipelines and apps, making it ideal for enterprises managing complex data and governance in Snowflake. Enterprises already using Claude Code for software, API, and app development can securely bring governed Snowflake data into their development workflows through the Cortex Code plugin for Claude Code. Build production-ready AI agents on trusted data: Cortex Agents, Snowflake’s framework for building enterprise AI agents, enables customers to build agents that retrieve, reason over, and act on governed enterprise data, with Claude supporting a range of use cases including customer support automation, data analysis, and core operations. Simplify how enterprises engage and scale AI investments: As one of six launch partners in the Claude Marketplace, Snowflake is working with Anthropic to simplify procurement and unlock joint commercial models, enabling customers to apply existing Anthropic commitments toward Snowflake AI capabilities and consolidate their AI spend. Strengthen security and responsible AI deployment: Snowflake and Anthropic share a commitment to enterprise-grade security, governance, and responsible AI, including collaboration on emerging Claude Code Security capabilities that help organizations identify, assess, and remediate vulnerabilities with built-in human oversight. Learn More: Get started with Anthropic and Snowflake in this quickstart. Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Forward-Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). View source version on businesswire.com: https://www.businesswire.com/news/home/20260601623088/en/ Media Contacts:
Kaitlyn Hopkins
Director of Product PR, Snowflake
press@snowflake.com Original: Snowflake and Anthropic Accelerate Enterprise AI Adoption Driven by Rising Demand for Governed AI

NYSE Content Update: Hinge Health Shares Up 72% One Year from its IPOMay 28, 2026 8:55 AM
PR Newswire (Canada) NYSE issues a pre-market daily advisory direct from the trading floor.NEW YORK, May 28, 2026 /CNW/ -- The New York Stock Exchange (NYSE) provides a daily pre-market update directly from the NYSE Trading Floor. Access today's NYSE Pre-market update for market insights before trading begins.  Ashley Mastronardi delivers the pre-market update on May 28thTraders are reacting to new developments out of the Middle East following a report that the U.S. carried out strikes on an Iranian military site near the Strait of Hormuz.Shares of Global X NYSE 100 ETF component Snowflake (NYSE: SNOW) are spiking ahead of the open after Q1 earnings and announcing a $6 billion deal with AWS.Hinge Health (NYSE: HNGE) CEO Daniel Perez will join Kristen Scholer for an interview to elaborate on the company's growth since its IPO last May.Opening Bell
First Trust celebrates the 20th anniversary of FPX- First Trust US Equity Opportunities ETFClosing Bell
Nuveen Churchill (NYSE: NCDL) celebrates its 20th anniversary of foundingFor market insights, IPO activity, and today's opening bell, download the NYSE TV App: TV.NYSE.com View original content to download multimedia:https://www.prnewswire.com/news-releases/nyse-content-update-hinge-health-shares-up-72-one-year-from-its-ipo-302784484.htmlSOURCE New York Stock Exchange Original: NYSE Content Update: Hinge Health Shares Up 72% One Year from its IPO

Snowflake shares soar in premarket after AI momentum fuels strong Q1 beat (SNOW)May 28, 2026 7:11 AM
IH Market News Snowflaked Inc (NYSE:SNOW) jumped 36% in premarket trading Thursday after the cloud data platform company exceeded Wall Street expectations across major first-quarter metrics and boosted its full-year guidance, reinforcing investor confidence in its emerging AI revenue strategy. The stock finished Wednesday’s regular session at $175.26, down 1.3%, before the company released results after the market close. Adjusted earnings reached $0.39 per share, ahead of analyst expectations of $0.32 by $0.07. Product revenue climbed 34% year-over-year to $1.33 billion, accelerating from 30% growth in the prior quarter and 26% growth a year earlier. The result also surpassed consensus estimates by 5.1%. Non-GAAP operating margin expanded to 12%, improving by more than 300 basis points and coming in above analyst forecasts of 9.2%. “AI continues to be a powerful tailwind for Snowflake, and Q1 marks a clear inflection point in that journey,” said Sridhar Ramaswamy, CEO of Snowflake. A major contributor to the quarter’s performance was Cortex Code, the company’s AI coding assistant internally nicknamed “Coco,” which became generally available on February 5 at the beginning of the reporting period. During the earnings call, CFO Brian Robins said Coco was “the largest driver” behind the company’s upgraded guidance. He added that management only includes measurable customer behavior in its forecasts, meaning the tool’s impact could not previously be reflected. Management said more than 7,100 customer accounts are now using the product, which is helping drive direct AI-related sales while also increasing activity across Snowflake’s broader data cloud platform. Analysts responded positively to the results. Morgan Stanley, which maintains an “overweight” rating on the stock and increased its price target to $300 from $245, described the quarter as “a blockbuster, thesis-affirming quarter.” The bank added that growth was fueled by authentic AI monetization rather than temporary migration-related benefits that boosted prior results. Bernstein kept its “market-perform” rating while raising its target price to $250 from $195, saying the company “checked all the boxes” and had “decisively resolved” concerns about whether growth could accelerate again in fiscal 2027. For the second quarter, Snowflake projected product revenue between $1.415 billion and $1.420 billion, implying roughly 30% growth compared with analyst expectations of 26%. The company also lifted its full-year product revenue forecast to $5.84 billion, representing 31% annual growth, up from prior guidance of $5.66 billion. Full-year non-GAAP operating margin guidance was raised to 13.5% from 12.5%. Additional announcements during the quarter included a new five-year infrastructure agreement with AWS valued at $6 billion, more than twice the size of its previous arrangement. Snowflake also disclosed plans to acquire Natoma, an enterprise MCP platform that enables AI agents to securely connect with common business applications such as email, Slack, and Jira while remaining inside Snowflake’s governed ecosystem. Net revenue retention improved to 126%, up from 125% in the previous quarter. Snowflake added 616 net new customers during the period, a 38% increase year-over-year, bringing the total number of customers generating more than $1 million in trailing 12-month product revenue to 779. Remaining performance obligations increased 38% from a year earlier to $9.21 billion. Snowflake stock price Original: Snowflake shares soar in premarket after AI momentum fuels strong Q1 beat (SNOW)

Snowflake Reports Financial Results for the First Quarter of Fiscal 2027May 27, 2026 4:05 PM
Business Wire Product revenue of $1.33 billion in the first quarter, representing 34% year-over-year growth Financial Highlights: Revenue of $1.39 billion in the first quarter, representing 33% year-over-year growth Net revenue retention rate of 126% 779 customers with trailing 12-month product revenue greater than $1 million, representing 29% year-over-year growth 813 Forbes Global 2000 customers Remaining performance obligations of $9.21 billion, representing 38% year-over-year growth Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced financial results for its first quarter of fiscal 2027, ended April 30, 2026. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260527027931/en/Snowflake Q1 FY27 Infographic (Graphic: Snowflake) "Snowflake delivered a milestone quarter, with product revenue of $1.33 billion, up 34% year-over-year, marking the strongest sequential dollar growth in our history,” said Sridhar Ramaswamy, CEO of Snowflake. “AI continues to be a powerful tailwind for Snowflake, and Q1 marks a clear inflection point in that journey. With Cortex Code and Snowflake Intelligence, we are extending from the trusted foundation for enterprise data and context to become the control plane for the Agentic Enterprise. We are seeing strong momentum from both AI-driven acceleration of our core platform and growing adoption of our first-party AI products, positioning Snowflake to lead in this new era." “AI continues to accelerate our core data platform business as customers move to Snowflake with increasing urgency,” said Brian Robins, CFO of Snowflake. “We now have 779 customers spending more than $1 million on a trailing 12-month basis, 46 of which crossed the threshold in Q1, compared to 26 a year ago. Given the strong momentum across both our core platform business and AI business, we are raising our full-year product revenue guidance.” Snowflake Business Highlights: AI Momentum: New customers like Holiday Inn Club Vacations and Houzz chose Snowflake as the cornerstone of their data and AI transformation, and more than 13,600 accounts1 are now using Snowflake AI capabilities. Accounts using Snowflake Intelligence1 more than doubled quarter-over-quarter, while Cortex Code is already in use across over 7,100 accounts1. These innovations contributed to the strongest sequential product revenue dollar growth in company history. Customer Growth and Expansion: Added 616 net new customers in the quarter, up 38% year-over-year, including 13 new Forbes Global 2000 customers. Accelerated Product Velocity: Delivered over 20% more product capabilities than a year ago, including new features across Cortex Code and Snowflake Intelligence, underscoring the pace of innovation and continued expansion of the platform. Expanded Partnerships: Expanded collaboration with AWS through a new $6 billion multi-year agreement designed to accelerate enterprise AI adoption globally. The company also deepened its partnership with OpenAI to deliver advanced AI capabilities through co-innovation and joint go-to-market efforts, and brought capabilities from its landmark SAP partnership to general availability. AI Acquisition: Signed a definitive agreement in May 2026 to acquire Natoma, an enterprise Model Context Protocol platform for AI agents, to make it easier for users to securely connect AI to the tools they use every day, directly within and beyond Snowflake. By extending governance to AI-driven workflows, Snowflake makes it easier for companies to safely manage not just their data, but also the actions AI agents take across business workflows. See the section titled “Key Business Metrics” for definitions of product revenue, net revenue retention rate, customers with trailing 12-month product revenue greater than $1 million, Forbes Global 2000 customers, and remaining performance obligations. ________________________________________ 1 The average of the last 4 weeks of the quarter ended April 30, 2026, counted based on capacity and on-demand accounts using the respective features on a weekly basis via our internal classification. Financial Outlook: Our guidance includes GAAP and non-GAAP financial measures. For the second quarter of fiscal 2027, the company expects: Product revenue of $1,415 million to $1,420 million, representing 30% year-over-year growth Non-GAAP operating margin2 of 12.5% Non-GAAP weighted-average shares used in computing net income per share attributable to common stockholders—diluted2,3,4 of 375 million For the full-year of fiscal 2027, the company expects: Product revenue of $5,840 million, representing 31% year-over-year growth, up from previous guidance of $5,660 million, or 27% year-over-year growth Non-GAAP product gross margin2 of 75.0% Non-GAAP operating margin2 of 13.5%, up from previous guidance of 12.5% Non-GAAP adjusted free cash flow margin2 of 23.0% Non-GAAP weighted-average shares used in computing net income per share attributable to common stockholders—diluted2,3,4 of 376 million A reconciliation of GAAP guidance measures to corresponding non-GAAP guidance measures is not available on a forward-looking basis without unreasonable effort due to the uncertainty regarding, and the potential variability of, expenses that may be incurred in the future. Stock-based compensation-related charges, including employer payroll tax-related items on employee stock transactions, are impacted by the timing of employee stock transactions, the future fair market value of our common stock, and our future hiring and retention needs, all of which are difficult to predict and subject to constant change. These factors could be material to our results computed in accordance with GAAP. Our fiscal year ends January 31, and numbers are rounded for presentation purposes. _______________________________________ 2 We report non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for an explanation of non-GAAP financial measures. 3 The potential impact of future repurchases under our stock repurchase program is not reflected in our guidance for weighted-average shares used in computing net income per share attributable to common stockholders—diluted due to the uncertainty regarding, and the potential variability of, the timing and amount of repurchases. Additionally, the dilutive effect of the shares issuable upon conversion of our 0% convertible senior notes due 2027 and 0% convertible senior notes due 2029 (the Notes) using the if-converted method, estimated at approximately 15 million shares for each of the second quarter and full-year of fiscal 2027 based on the current conversion price and net of the potential antidilutive impact of the capped call transactions entered into in connection with the Notes (the Capped Calls), is reflected in our guidance for weighted-average shares used in computing net income per share attributable to common stockholders—diluted. Upon conversion of the Notes, we may choose to satisfy our conversion obligations by paying or delivering, as the case may be, cash, shares of our common stock, or a combination of both. The Capped Calls will have an antidilutive impact when the average stock price of our common stock in a given period is higher than their exercise price. The estimated antidilutive impact of the Capped Calls reflected in our guidance is based on the market price of our common stock as of April 30, 2026, and is subject to change with future stock price movements. 4 Beginning with the fourth quarter of fiscal 2026, we no longer attribute a portion of our non-GAAP net income to noncontrolling interest. See section titled “Statement Regarding Use of Non-GAAP Financial Measures” for further information. First Quarter Fiscal 2027 GAAP and Non-GAAP Results: The following table summarizes our financial results for the first quarter of fiscal 2027:   First Quarter Fiscal 2027 GAAP Results   First Quarter Fiscal 2027 Non-GAAP Results(1)   Amount
(millions) Year/Year
Growth       Product revenue $1,334.3   34 %                     Amount
(millions) Margin   Amount
(millions) Margin Product gross profit $947.5   71.0 %   $1,002.7 75.1 % Operating income (loss) ($326.2 ) (23.4 %)   $165.8   11.9 % Net cash provided by operating activities $243.2   17.5 % (2)     Free cash flow       $232.8   16.7 % Adjusted free cash flow       $265.5   19.1 %             (1) We report non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for an explanation of non-GAAP financial measures, and the table titled “GAAP to Non-GAAP Reconciliations” for a reconciliation of GAAP to non-GAAP financial measures.   (2) Calculated as net cash provided by operating activities as a percentage of revenue.   Note: Fiscal year ends January 31. Numbers are rounded for presentation purposes. Conference Call Details The conference call will begin at 2 p.m. Pacific Time on May 27, 2026. Investors and participants may attend the call by dialing 1-800-330-6730 for domestic callers and 1-646-769-9500 for international callers (Access code: 222481). The call will also be webcast live on the Snowflake Investor Relations website at https://investors.snowflake.com. An audio replay of the conference call and webcast will be available two hours after its completion and will be accessible for 30 days on the Snowflake Investor Relations website. Investor Presentation Details An investor presentation providing additional information and analysis can be found at https://investors.snowflake.com. Statement Regarding Use of Non-GAAP Financial Measures We report the following non-GAAP financial measures, which have not been prepared in accordance with generally accepted accounting principles in the United States (GAAP), in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. Non-GAAP Product gross profit, Operating income, Net income, Net income attributable to Snowflake Inc., and Net income per share attributable to Snowflake Inc. common stockholders—basic and diluted. Non-GAAP product gross profit, operating income, net income, and net income attributable to Snowflake Inc. are each defined as the respective GAAP measure, excluding, as applicable, the effect of (i) stock-based compensation-related charges, including employer payroll tax-related items on employee stock transactions, (ii) amortization of acquired intangibles, (iii) expenses associated with acquisitions and strategic investments, (iv) amortization of debt issuance costs, (v) restructuring charges, net of associated income and recoveries, (vi) asset impairment related to office facility exits, net of associated sublease income, if any, (vii) adjustments attributable to noncontrolling interest, if any, and (viii) the related income tax effect of these adjustments as well as the non-recurring income tax expense or benefit associated with acquisitions. Non-GAAP product gross margin is calculated as non-GAAP product gross profit as a percentage of product revenue. Non-GAAP operating margin is calculated as non-GAAP operating income as a percentage of revenue. Our non-GAAP net income per share attributable to Snowflake Inc. common stockholders—basic is calculated by dividing non-GAAP net income attributable to Snowflake Inc. by the weighted-average number of shares of common stock outstanding during the period. Our non-GAAP net income per share attributable to Snowflake Inc. common stockholders—diluted is calculated by dividing non-GAAP net income attributable to Snowflake Inc. by the non-GAAP weighted-average number of diluted shares outstanding, which includes (a) the effect of all potentially dilutive common stock equivalents (stock options, restricted stock units, employee stock purchase rights under our 2020 Employee Stock Purchase Plan), (b) the potential dilutive effect of the shares issuable upon conversion of the Notes using the if-converted method, and (c) the antidilutive impact, if any, of the Capped Calls entered into in connection with the Notes. The Capped Calls are expected to reduce the potential dilution to our common stock upon any conversion of the Notes under certain circumstances. Under GAAP, the antidilutive impact of the Capped Calls is not reflected in diluted shares outstanding until exercised. The potential dilutive effect of outstanding restricted stock units with performance conditions not yet satisfied is included in the non-GAAP weighted-average number of diluted shares at forecasted attainment levels to the extent we believe it is probable that the performance conditions will be met. Amounts attributable to noncontrolling interest were not material for all periods presented. Beginning with the fourth quarter of fiscal 2026, the Company no longer attributes a portion of non-GAAP net income to noncontrolling interest as it no longer controls a majority-owned subsidiary. The calculation of non-GAAP basic and diluted net income per share attributable to common stockholders for the fourth quarter of fiscal 2026 and subsequent periods aligns with the methodology used to calculate non-GAAP basic and diluted net income per share attributable to Snowflake Inc. common stockholders as described above. We believe the presentation of operating results that exclude these items that are (i) non-cash items, (ii) non-recurring items, or (iii) items that have highly variable amounts due to factors beyond our control and are unrelated to our core operations such that management does not consider them in evaluating the business performance or making operating plans, provides useful supplemental information to investors and facilitates the analysis of our operating results and comparison of operating results across reporting periods. Free cash flow. Free cash flow is defined as net cash provided by operating activities reduced by purchases of property and equipment and any capitalized software development costs. Cash outflows for employee payroll tax items related to the net share settlement of equity awards are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow. Free cash flow margin is calculated as free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations. Adjusted free cash flow. Adjusted free cash flow is defined as free cash flow plus (minus) net cash paid (received) on employer and employee payroll tax-related items on employee stock transactions. Employee payroll tax-related items on employee stock transactions are generally pass-through transactions that are expected to have a net zero impact on free cash flow over time, but that may impact free cash flow in any given fiscal quarter due to differences between the time that we receive funds from our employees and the time we remit those funds to applicable tax authorities. We believe that excluding the effects of these payroll tax-related items will enhance investors' ability to evaluate our free cash flow performance, including on a quarter-over-quarter basis. Adjusted free cash flow margin is calculated as adjusted free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations. We use these non-GAAP financial measures internally for financial and operational decision-making purposes and as a means to evaluate period-to-period comparisons. Non-GAAP financial measures are not meant to be considered in isolation or as a substitute for comparable GAAP financial measures and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP. Our presentation of non-GAAP financial measures may not be comparable to similar measures used by other companies. We encourage investors to carefully consider our results under GAAP, as well as our supplemental non-GAAP information and the reconciliation between these presentations, to more fully understand our business. Please see the tables included at the end of this release for the reconciliation of GAAP to non-GAAP results. Key Business Metrics We monitor our key business metrics, including (i) free cash flow and (ii) the other metrics set forth below to help us evaluate our business and growth trends, establish budgets, measure the effectiveness of our sales and marketing efforts, and assess operational efficiencies. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for the definition of free cash flow. The calculation of our key business metrics may differ from other similarly titled metrics used by other companies, securities analysts, or investors. Product Revenue. Product revenue is a key metric for us because we recognize revenue based on platform consumption, which is inherently variable at our customers’ discretion, and not based on the amount and duration of contract terms. Product revenue is primarily derived from the consumption of compute, storage, and data transfer resources by customers on our platform. Customers have the flexibility to consume more than their contracted capacity during the contract term and may have the ability to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Our consumption-based business model distinguishes us from subscription-based software companies that generally recognize revenue ratably over the contract term and may not permit rollover. Because customers have flexibility in the timing of their consumption, which can exceed their contracted capacity or extend beyond the original contract term in many cases, the amount of product revenue recognized in a given period is an important indicator of customer satisfaction and the value derived from our platform. While customer use of our platform in any period is not necessarily indicative of future use, we estimate future revenue using predictive models based on customers’ historical usage to plan and determine financial forecasts. Product revenue excludes our professional services and other revenue. Net Revenue Retention Rate. To calculate net revenue retention rate, we first specify a measurement period consisting of the trailing two years from our current period end. Next, we define as our measurement cohort the population of customers under capacity contracts that used our platform at any point in the first month of the first year of the measurement period. The cohorts used to calculate net revenue retention rate include end-customers under a reseller arrangement. We then calculate our net revenue retention rate as the quotient obtained by dividing our product revenue from this cohort in the second year of the measurement period by our product revenue from this cohort in the first year of the measurement period. Any customer in the cohort that did not use our platform in the second year remains in the calculation and contributes zero product revenue in the second year. Our net revenue retention rate is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our net revenue retention rate for historical periods reflecting these adjustments. Since we will continue to attribute the historical product revenue to the consolidated contract, consolidation of capacity contracts within a customer’s organization typically will not impact our net revenue retention rate unless one of those customers was not a customer at any point in the first month of the first year of the measurement period. Customers with Trailing 12-Month Product Revenue Greater than $1 Million. To calculate the number of customers with trailing 12-month product revenue greater than $1 million, we count the number of customers under capacity arrangements that contributed more than $1 million in product revenue in the trailing 12 months. For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. We do not include customers that consume our platform only under on-demand arrangements for purposes of determining our customer count. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our customer count for historical periods reflecting these adjustments. Forbes Global 2000 Customers. Our Forbes Global 2000 customer count is a subset of our customer count based on the 2025 Forbes Global 2000 list. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments. Remaining Performance Obligations. Remaining performance obligations (RPO) represent the amount of contracted future revenue that has not yet been recognized, including (i) deferred revenue and (ii) non-cancelable contracted amounts that will be invoiced and recognized as revenue in future periods. RPO excludes performance obligations from on-demand arrangements and certain time and materials contracts that are billed in arrears. Portions of RPO that are not yet invoiced and are denominated in foreign currencies are revalued into U.S. dollars each period based on the applicable period-end exchange rates. RPO is not necessarily indicative of future product revenue growth because it does not account for the timing of customers’ consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by a number of factors, including the timing and size of renewals, the timing and size of purchases of additional capacity, average contract terms, seasonality, changes in foreign currency exchange rates, and the extent to which customers are permitted to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Due to these factors, it is important to review RPO in conjunction with product revenue and other financial metrics disclosed elsewhere herein. Use of Forward-Looking Statements This release and the accompanying oral presentation contain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding our performance, including but not limited to statements in the section titled “Financial Outlook.” Words such as “guidance,” “outlook,” “expect,” “anticipate,” “should,” “believe,” “hope,” “target,” “project,” “plan,” “goals,” “estimate,” “potential,” “predict,” “forecast,” “may,” “will,” “might,” “could,” “intend,” “shall,” “future,” and variations of these terms or the negative of these terms and similar expressions are intended to identify these forward-looking statements. Other than statements of historical fact, all statements contained in this release and accompanying oral presentation are forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities, including with respect to strategic transactions; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. The forward-looking statements contained in this release and the accompanying oral presentation are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to, those related to our business and financial performance; general market and business conditions, downturns, or uncertainty, including higher inflation, tariffs and trade wars, extended federal government shutdowns, higher interest rates, fluctuations or volatility in capital markets, energy markets, or foreign currency exchange rates, and geopolitical instability; our ability to attract and retain customers that use our platform to support their end-to-end data lifecycle; our ability to execute on our business strategy, including our strategy across our product categories and an effective AI strategy; our ability to respond rapidly and effectively to emerging technology trends, including the adoption and use of AI, and the extent to which our investments in new technologies are successful; the extent to which customers continue to optimize consumption; our ability to compete effectively in a continually evolving market in which enterprises are increasingly adopting AI to perform core functions and significant disruption is being driven by AI; our ability to attract, recruit, and retain qualified personnel to support our operations and growth; the impact of new or optimized product features and pricing strategies on consumption, including AI credit pricing, Iceberg tables, tiered storage pricing, and adaptive warehouses; our ability to consummate and realize the anticipated benefits of any acquisitions, strategic investments, partnerships, or alliances; unforeseen technical, operational, or business challenges impacting the timing, scope, or success of strategic partnerships; the extent to which customers continue to rationalize budgets and prioritize cash flow management, including through shortened contract durations; our ability to develop new products and services and enhance existing products and services; the extent to which customer adoption of new product capabilities results in durable consumption; the growth of successful native applications on the Snowflake Marketplace; our ability to increase and predict customer consumption of our platform, particularly in light of the impact of holidays on customer consumption patterns; our ability to increase our penetration into existing markets and enter and grow new markets, including highly-regulated markets such as financial services, healthcare, and the public sector; the effectiveness of our security measures designed to protect against security incidents and the impact of cybersecurity threat activity directed at us or our customers and any resulting reputational or financial damage; success of our sales and marketing efforts and our ability to promote our brand; our ability to protect our intellectual property rights and the extent to which they provide us with a competitive advantage; our ability to manage growth; our ability to sublease or terminate certain of our office facility commitments and the impact of related asset impairment; the impact and timing of stock repurchases under our stock repurchase program; and our ability to meet the requirements of the Notes and the settlement timing and method for the Notes and the Capped Calls. Further information on these and additional risks, uncertainties, assumptions, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this release are included under the caption “Risk Factors” and elsewhere in our Form 10-K for the fiscal year ended January 31, 2026 and other filings and reports we make with the Securities and Exchange Commission from time to time, including our Form 10-Q that will be filed for the fiscal quarter ended April 30, 2026. Moreover, we operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor(s) may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. As a result of these risks, uncertainties, assumptions, and other factors, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or management's good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements, to review or confirm analysts’ expectations, or to provide interim reports or updates on the progress of the current financial quarter. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Source: Snowflake Inc. Snowflake Inc. Condensed Consolidated Statements of Operations (in thousands, except per share data) (unaudited)           Three Months Ended April 30,     2026   2025         Revenue $ 1,390,951     $ 1,042,074   Cost of revenue   464,500       348,786   Gross profit   926,451       693,288   Operating expenses:       Sales and marketing   588,952       458,554   Research and development   534,937       472,404   General and administrative   128,716       209,587   Total operating expenses   1,252,605       1,140,545   Operating loss   (326,154 )     (447,257 ) Interest income   41,145       53,163   Interest expense   (2,080 )     (2,071 ) Other expense, net   (9,571 )     (28,058 ) Loss before income taxes   (296,660 )     (424,223 ) Provision for (benefit from) income taxes   (1,089 )     5,729   Net loss   (295,571 )     (429,952 ) Less: net income attributable to noncontrolling interest   —       140   Net loss attributable to Snowflake Inc. $ (295,571 )   $ (430,092 ) Net loss per share attributable to Snowflake Inc. common stockholders—basic and diluted $ (0.86 )   $ (1.29 ) Weighted-average shares used in computing net loss per share attributable to Snowflake Inc. common stockholders—basic and diluted   345,391       332,657     Snowflake Inc. Condensed Consolidated Balance Sheets (in thousands) (unaudited)                       April 30, 2026   January 31, 2026 Assets       Current assets:       Cash and cash equivalents $ 2,084,715     $ 2,828,163   Short-term investments   870,283       1,201,523   Accounts receivable, net   579,719       1,303,740   Deferred commissions, current   212,886       214,058   Prepaid expenses and other current assets   229,504       195,128   Total current assets   3,977,107       5,742,612   Long-term investments   1,432,494       755,013   Property and equipment, net   227,207       248,611   Operating lease right-of-use assets   294,863       274,897   Goodwill   1,537,185       1,194,367   Intangible assets, net   451,357       246,916   Deferred commissions, non-current   222,000       241,759   Other assets   412,043       428,320   Total assets $ 8,554,256     $ 9,132,495   Liabilities and Stockholders’ Equity       Current liabilities:       Accounts payable $ 55,062     $ 145,559   Accrued expenses and other current liabilities   814,634       879,537   Operating lease liabilities, current   55,783       49,598   Deferred revenue, current   2,851,812       3,346,997   Total current liabilities   3,777,291       4,421,691   Convertible senior notes, net   2,281,903       2,279,827   Operating lease liabilities, non-current   434,409       411,689   Deferred revenue, non-current   25,663       14,440   Other liabilities   95,268       80,746   Stockholders’ equity   1,939,722       1,924,102   Total liabilities and stockholders’ equity $ 8,554,256     $ 9,132,495     Snowflake Inc. Condensed Consolidated Statements of Cash Flows (in thousands) (unaudited)           Three Months Ended April 30,     2026   2025 Cash flows from operating activities:       Net loss $ (295,571 )   $ (429,952 ) Adjustments to reconcile net loss to net cash provided by operating activities:       Depreciation and amortization   67,605       48,804   Non-cash operating lease costs   17,882       17,842   Amortization of deferred commissions   57,730       25,796   Stock-based compensation, net of any amounts capitalized   402,470       379,460   Net accretion of discounts on investments   (2,205 )     (7,652 ) Net realized and unrealized losses on strategic investments   9,498       29,685   Amortization of debt issuance costs   2,080       2,071   Asset impairment related to office facility exits   17,724       106,488   Deferred income tax   (6,562 )     —   Other   2,821       (5,174 ) Changes in operating assets and liabilities, net of effects of a business combination:       Accounts receivable   747,217       393,657   Deferred commissions   (36,799 )     (31,114 ) Prepaid expenses and other assets   (22,455 )     (17,852 ) Accounts payable   (89,673 )     (4,423 ) Accrued expenses and other liabilities   (80,791 )     3,935   Operating lease liabilities   (19,207 )     (11,838 ) Deferred revenue   (528,541 )     (271,360 ) Net cash provided by operating activities   243,223       228,373   Cash flows from investing activities:       Purchases of property and equipment   (10,451 )     (44,989 ) Cash paid for a business combination, net of cash, cash equivalents and restricted cash acquired   (252,457 )     —   Purchases of investments   (896,447 )     (1,012,575 ) Sales of investments   109,694       17,399   Maturities and redemptions of investments   445,170       984,182   Net cash used in investing activities   (604,491 )     (55,983 ) Cash flows from financing activities:       Proceeds from exercise of stock options   6,579       6,260   Proceeds from issuance of common stock under employee stock purchase plan   66,987       53,193   Taxes paid related to net share settlement of equity awards   (142,846 )     (132,498 ) Repurchases of common stock   (300,003 )     (490,638 ) Payments of deferred purchase consideration for business combinations   (2,250 )     (374 ) Net cash used in financing activities   (371,533 )     (564,057 ) Effect of exchange rate changes on cash, cash equivalents, and restricted cash   (2,824 )     12,397   Net decrease in cash, cash equivalents, and restricted cash   (735,625 )     (379,270 ) Cash, cash equivalents, and restricted cash—beginning of period   2,864,303       2,698,678   Cash, cash equivalents, and restricted cash—end of period $ 2,128,678     $ 2,319,408     Snowflake Inc. GAAP to Non-GAAP Reconciliations (in thousands, except per share data and percentages) (unaudited)           Three Months Ended April 30,     2026   2025     Amount   Amount as a % of Revenue   Amount   Amount as a % of Revenue Revenue:               Product revenue $ 1,334,329     96 %   $ 996,813     96 % Professional services and other revenue   56,622     4 %     45,261     4 % Revenue $ 1,390,951     100 %   $ 1,042,074     100 % Year-over-year growth   33 %         26 %                     Cost of revenue:               GAAP cost of product revenue $ 386,874         $ 285,276       Adjustments:               Stock-based compensation-related charges   (31,646 )         (30,852 )     Amortization of acquired intangibles   (23,594 )         (11,735 )     Non-GAAP cost of product revenue $ 331,634         $ 242,689                       GAAP cost of professional services and other revenue $ 77,626         $ 63,510       Adjustments:               Stock-based compensation-related charges   (14,596 )         (14,641 )     Amortization of acquired intangibles   (1,764 )         (1,608 )     Non-GAAP cost of professional services and other revenue $ 61,266         $ 47,261                       GAAP cost of revenue $ 464,500     33 %   $ 348,786     33 % Adjustments:               Stock-based compensation-related charges   (46,242 )         (45,493 )     Amortization of acquired intangibles   (25,358 )         (13,343 )     Non-GAAP cost of revenue $ 392,900     28 %   $ 289,950     28 %                 Gross profit (loss):               GAAP product gross profit $ 947,455         $ 711,537       Adjustments:               Stock-based compensation-related charges   31,646           30,852       Amortization of acquired intangibles   23,594           11,735       Non-GAAP product gross profit $ 1,002,695         $ 754,124                       GAAP professional services and other revenue gross loss $ (21,004 )       $ (18,249 )     Adjustments:               Stock-based compensation-related charges   14,596           14,641       Amortization of acquired intangibles   1,764           1,608       Non-GAAP professional services and other revenue gross loss $ (4,644 )       $ (2,000 )                     GAAP gross profit $ 926,451     67 %   $ 693,288     67 % Adjustments:               Stock-based compensation-related charges   46,242           45,493       Amortization of acquired intangibles   25,358           13,343       Non-GAAP gross profit $ 998,051     72 %   $ 752,124     72 %                 Gross margin:               GAAP product gross margin   71 %         71 %     Adjustments:               Stock-based compensation-related charges as a % of product revenue   2 %         4 %     Amortization of acquired intangibles as a % of product revenue   2 %         1 %     Non-GAAP product gross margin   75 %         76 %                     GAAP professional services and other revenue gross margin   (37 %)         (40 %)     Adjustments:               Stock-based compensation-related charges as a % of professional services and other revenue   26 %         32 %     Amortization of acquired intangibles as a % of professional services and other revenue   3 %         4 %     Non-GAAP professional services and other revenue gross margin   (8 %)         (4 %)                     GAAP gross margin   67 %         67 %     Adjustments:               Stock-based compensation-related charges as a % of revenue   3 %         4 %     Amortization of acquired intangibles as a % of revenue   2 %         1 %     Non-GAAP gross margin   72 %         72 %                     Operating expenses:               GAAP sales and marketing expense $ 588,952     42 %   $ 458,554     44 % Adjustments:               Stock-based compensation-related charges   (103,898 )         (92,911 )     Amortization of acquired intangibles   (13,208 )         (7,760 )     Non-GAAP sales and marketing expense $ 471,846     34 %   $ 357,883     34 %                 GAAP research and development expense $ 534,937     39 %   $ 472,404     46 % Adjustments:               Stock-based compensation-related charges   (248,629 )         (230,945 )     Amortization of acquired intangibles   (1,960 )         (2,645 )     Restructuring recoveries, net(1)   —           8       Non-GAAP research and development expense $ 284,348     20 %   $ 238,822     23 %                 GAAP general and administrative expense $ 128,716     9 %   $ 209,587     20 % Adjustments:               Stock-based compensation-related charges   (34,888 )         (39,373 )     Amortization of acquired intangibles   (32 )         (337 )     Expenses associated with acquisitions and strategic investments   (62 )         (378 )     Restructuring recoveries, net(1)   20           750       Asset impairment related to office facility exits, net of sublease income(2)   (17,650 )         (106,488 )     Non-GAAP general and administrative expense $ 76,104     6 %   $ 63,761     6 %                 GAAP total operating expenses $ 1,252,605     90 %   $ 1,140,545     110 % Adjustments:               Stock-based compensation-related charges   (387,415 )         (363,229 )     Amortization of acquired intangibles   (15,200 )         (10,742 )     Expenses associated with acquisitions and strategic investments   (62 )         (378 )     Restructuring recoveries, net(1)   20           758       Asset impairment related to office facility exits, net of sublease income(2)   (17,650 )         (106,488 )     Non-GAAP total operating expenses $ 832,298     60 %   $ 660,466     63 %                 Operating income (loss):               GAAP operating loss $ (326,154 )   (23 %)   $ (447,257 )   (43 %) Adjustments:               Stock-based compensation-related charges(3)   433,657           408,722       Amortization of acquired intangibles   40,558           24,085       Expenses associated with acquisitions and strategic investments   62           378       Restructuring recoveries, net(1)   (20 )         (758 )     Asset impairment related to office facility exits, net of sublease income(2)   17,650           106,488       Non-GAAP operating income $ 165,753     12 %   $ 91,658     9 %                 Operating margin:               GAAP operating margin   (23 %)         (43 %)     Adjustments:               Stock-based compensation-related charges as a % of revenue   31 %         40 %     Amortization of acquired intangibles as a % of revenue   3 %         2 %     Expenses associated with acquisitions and strategic investments as a % of revenue   — %         — %     Restructuring recoveries, net as a % of revenue   — %         — %     Asset impairment related to office facility exits, net of sublease income as a % of revenue   1 %         10 %     Non-GAAP operating margin   12 %         9 %                     Net income (loss):               GAAP net loss $ (295,571 )   (21 %)   $ (429,952 )   (41 %) Adjustments:               Stock-based compensation-related charges(3)   433,657           408,722       Amortization of acquired intangibles   40,558           24,085       Expenses associated with acquisitions and strategic investments   62           378       Restructuring recoveries, net(1)   (20 )         (758 )     Asset impairment related to office facility exits, net of sublease income(2)   17,650           106,488       Amortization of debt issuance costs   2,080           2,071       Income tax effect related to the above adjustments and acquisitions   (50,421 )         (23,462 )     Non-GAAP net income $ 147,995     11 %   $ 87,572     8 %                 Net income (loss) attributable to Snowflake Inc.(4):               GAAP net loss attributable to Snowflake Inc. $ (295,571 )   (21 %)   $ (430,092 )   (41 %) Adjustments:               Stock-based compensation-related charges(3)   433,657           408,722       Amortization of acquired intangibles   40,558           24,085       Expenses associated with acquisitions and strategic investments   62           378       Restructuring recoveries, net(1)   (20 )         (758 )     Asset impairment related to office facility exits, net of sublease income(2)   17,650           106,488       Amortization of debt issuance costs   2,080           2,071       Income tax effect related to the above adjustments and acquisitions   (50,421 )         (23,462 )     Adjustments attributable to noncontrolling interest, net of tax   —           (147 )     Non-GAAP net income attributable to Snowflake Inc. $ 147,995     11 %   $ 87,285     8 %                 Net income (loss) per share attributable to Snowflake Inc. common stockholders—basic and diluted(4):               GAAP net loss per share attributable to Snowflake Inc. common stockholders—basic and diluted $ (0.86 )       $ (1.29 )     Weighted-average shares used in computing GAAP net loss per share attributable to Snowflake Inc. common stockholders—basic and diluted   345,391           332,657                       Non-GAAP net income per share attributable to Snowflake Inc. common stockholders—basic $ 0.43         $ 0.26       Weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders—basic   345,391           332,657                       Non-GAAP net income per share attributable to Snowflake Inc. common stockholders—diluted $ 0.39         $ 0.24                       GAAP weighted-average shares used in computing GAAP net loss per share attributable to Snowflake Inc. common stockholders—basic and diluted   345,391           332,657       Add: Effect of potentially dilutive common stock equivalents   15,444           24,033       Add: Effect of convertible senior notes   14,603           14,603       Less: Effect of antidilutive impact of capped call transactions   (393 )         (373 )     Non-GAAP weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders—diluted(5)   375,045           370,920                       Free cash flow and adjusted free cash flow:               GAAP net cash provided by operating activities $ 243,223     17 %   $ 228,373     22 % Adjustments:               Purchases of property and equipment   (10,451 )         (44,989 )     Non-GAAP free cash flow   232,772     17 %     183,384     18 % Adjustments:               Net cash paid on payroll tax-related items on employee stock transactions(6)   32,742           22,885       Non-GAAP adjusted free cash flow $ 265,514     19 %   $ 206,269     20 % Non-GAAP free cash flow margin   17 %         18 %     Non-GAAP adjusted free cash flow margin   19 %         20 %     GAAP net cash used in investing activities $ (604,491 )       $ (55,983 )     GAAP net cash used in financing activities $ (371,533 )       $ (564,057 )       (1) Restructuring recoveries, net represent recoveries on certain costs incurred by us in connection with a restructuring plan for a majority-owned subsidiary.   (2) Asset impairment related to office facility exits, net of sublease income for the three months ended April 30, 2025 primarily relates to our San Mateo office facility.   (3) Stock-based compensation-related charges included employer payroll tax-related expenses on employee stock transactions of approximately $21.4 million and $19.5 million for the three months ended April 30, 2026 and 2025, respectively.   (4) Beginning with the fourth quarter of fiscal 2026, the Company no longer attributes a portion of GAAP and non-GAAP net income (loss) to noncontrolling interest as it no longer controls a majority-owned subsidiary. As such, for the three months ended April 30, 2026, the calculations of GAAP and non-GAAP basic and diluted net income (loss) per share attributable to common stockholders align with the methodologies used to calculate the corresponding metrics for Snowflake Inc. common stockholders.   (5) The non-GAAP weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders—diluted included (a) the effect of all potentially dilutive common stock equivalents (stock options, restricted stock units, and employee stock purchase rights under our 2020 Employee Stock Purchase Plan) and (b) the potential dilutive effect of shares issuable upon conversion of the Notes using the if-converted method, starting from the beginning of the period or the issuance date of the Notes, if later. The potential dilutive effect of outstanding restricted stock units with performance conditions not yet satisfied is included in the non-GAAP weighted-average number of diluted shares at forecasted attainment levels to the extent we believe it is probable that the performance conditions will be met.   (6) The amounts for the three months ended April 30, 2026 and 2025 do not include employee payroll taxes of $142.8 million and $132.5 million, respectively, related to net share settlement of employee equity awards, which were reflected as cash outflows for financing activities.   View source version on businesswire.com: https://www.businesswire.com/news/home/20260527027931/en/ Investor Contact
Katherine McCracken
IR@snowflake.com Press Contact
Eszter Szikora
Press@snowflake.com Original: Snowflake Reports Financial Results for the First Quarter of Fiscal 2027

SNOW gapping up on earnings Curr pps 226 +50.99

Snowflake Announces Intent to Acquire Natoma, Providing Secure Connectivity For The Agentic EnterpriseMay 27, 2026 4:07 PM
Business Wire Bringing Natoma’s Enterprise Model Context Protocol (MCP) platform to Snowflake will make it easier to securely connect AI to enterprise applications Snowflake customers will be able to securely connect Snowflake Intelligence and Cortex Code to enterprise systems with a verified library of MCP servers, unlocking centralized governance through the MCP Gateway Users will be able to enrich the Snowflake data they already trust with context from email, Slack and other connected tools, making Snowflake the single source for every data need The acquisition extends Snowflake’s governance perimeter from data assets to AI actions and interactions across the enterprise Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it has signed a definitive agreement to acquire Natoma, an enterprise Model Context Protocol (MCP) platform for AI agents. With the close of this acquisition, Snowflake will establish a natively integrated governance and identity layer for AI agents and MCP tool access, making it easier to securely connect and manage how AI systems interact with their enterprise applications, databases, APIs and tools. By extending governance to AI-driven workflows, Snowflake makes it easier for companies to safely manage not just their data, but also the actions AI agents take across business workflows. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260527677399/en/Snowflake Announces Intent to Acquire Natoma, Providing Secure Connectivity For The Agentic Enterprise “AI agents are quickly becoming part of how enterprises operate, but intelligence without governance creates risk,” said Sridhar Ramaswamy, Chief Executive Officer of Snowflake. “Agents don’t just need access to data. They need the right context, permissions and policy guardrails to operate safely inside the enterprise. Snowflake has long served as the governed data foundation for enterprises, and with Natoma’s expertise in identity governance and privileged access management, we can extend that trust layer to AI-driven actions and workflows. With Natoma in Snowflake, coding agents can finally come alive inside the enterprise - secure, auditable and ready to operate at scale.” Snowflake’s recent AI research found that 96% of organizations still face significant challenges scaling AI across the enterprise. The rise of MCP has introduced new challenges around fragmented governance, shadow AI and increased data exfiltration risk as agents connect across enterprise systems. As organizations move from copilots to autonomous AI agents capable of taking actions across enterprise systems, governance and operational control are becoming increasingly critical. With this acquisition, Snowflake customers will be able to securely connect Cortex Agents, Snowflake Intelligence, Cortex Code and other AI platforms to enterprise systems across SaaS applications, cloud environments, VPCs and on-prem infrastructure through a verified library of MCP servers. Natoma provides the control and governance fabric for these connections, helping enterprises manage how AI agents discover, access and act across systems - with trust, visibility, identity-aware authorization, policies and complete auditability built in. Users will be able to correlate and enrich trusted business data in Snowflake with context from Slack, email, CRM, Jira, internal APIs, databases and applications, enabling Snowflake Intelligence and Cortex Code to deliver more relevant, actionable outcomes, with enterprise-grade security, governance and control. Natoma’s platform is already deployed at some of the world’s largest enterprises and delivers the scale, visibility and policy enforcement required to securely operate enterprise agentic systems in production. Its team brings deep expertise in MCPs, gateway infrastructure, identity governance and privileged access management, with experience building enterprise security products at a global scale. “AI agents will only become enterprise-ready if organizations can govern how they operate across systems, applications and tools,” said Pratyus Patnaik, Co-Founder and CEO of Natoma. “Together with Snowflake, we’re building the governance and connectivity layer that enables enterprises to securely operationalize AI at scale.” Natoma’s capabilities will be integrated into Snowflake’s AI Data Cloud and available to customers soon. By extending governance from data access to AI-driven actions and workflows, Snowflake is advancing its position as the trusted control plane for the agentic enterprise. Closing of the acquisition is subject to customary closing conditions. Learn More: Read this blog post to learn more about what the Natoma acquisition will mean for customers. Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. Forward-Looking Statements This release relates to a pending acquisition of Natoma by Snowflake. This release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding the anticipated benefits of the acquisition, and the anticipated impacts of the acquisition on our business, products, financial results, and other aspects of our and Natoma’s operations. These forward-looking statements are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to: the effect of the announcement of the acquisition on the ability of Snowflake or Natoma to retain key personnel or maintain relationships with customers, vendors, developers, community members, and other business partners; risks that the acquisition disrupts current plans and operations; the ability of the parties to consummate the acquisition on a timely basis or at all; the satisfaction of the conditions precedent to consummation of the acquisition; our ability to successfully integrate Natoma’s operations; our and Natoma’s ability to execute on our business strategies relating to the acquisition and realize expected benefits and synergies; and our ability to compete effectively, including in response to actions our competitors may take following announcement of the acquisition. Further information on these and additional risks, uncertainties, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this release are included under the caption “Risk Factors” and elsewhere in our Quarterly Reports on Form 10-Q, Annual Reports on Form 10-K, and subsequent filings and reports we make with the Securities and Exchange Commission from time to time. Moreover, both we and Natoma operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible for us to predict all risks, nor can we assess the impact of all factors on our business or the acquisition, or the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or our management's good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). View source version on businesswire.com: https://www.businesswire.com/news/home/20260527677399/en/ Press Contact
Danica Stanczak
Global Corporate Communications, Snowflake
press@snowflake.com Original: Snowflake Announces Intent to Acquire Natoma, Providing Secure Connectivity For The Agentic Enterprise

Snowflake Expands AWS Collaboration with $6B Commitment to Accelerate Enterprise Agentic AI AdoptionMay 27, 2026 4:10 PM
Business Wire The collaboration brings generative and agentic AI capabilities directly to enterprise data to help joint customers build and deploy AI-powered applications faster and more securely  Multi-year strategic agreement expands joint investments in customer success, workload migrations, and go-to-market, as Snowflake surpasses $7 billion in lifetime AWS Marketplace sales Snowflake commits $6 billion in Graviton compute and AI spend on AWS over five years, reflecting accelerating demand for data and AI workloads Customers like Fetch and Hex are deploying AI applications on governed data with Snowflake on AWS Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that it has signed a multi-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate enterprise agentic AI adoption to help joint customers worldwide build and deploy AI faster and more securely. As part of the expanded collaboration, Snowflake is making a $6 billion multi-year infrastructure commitment to AWS, its largest to date, reflecting the accelerating enterprise demand for AI and data workloads running on AWS. Snowflake was founded on AWS eleven years ago, and that foundation has grown into one of enterprise software's broadest and deepest collaborations. The majority of Snowflake's customers run on AWS today, with AWS recognizing Snowflake as a leading partner driving global customer adoption. The latest agreement builds on this momentum with deeper product integrations across generative AI and agentic AI, expanded go-to-market through AWS Marketplace, and joint investments in customer success programs, workload migrations, and strategic industry solutions designed to help enterprises move from AI experimentation to production-scale outcomes. “AI has generated enormous excitement, but for enterprises, the real challenge and opportunity is turning intelligence into action,” said Sridhar Ramaswamy, CEO of Snowflake. “We are moving into the era of the agentic enterprise, where AI systems don’t just answer questions, but help organizations reason over trusted data, coordinate workflows, and drive real business outcomes. With AWS, we are making it easier for enterprises to bring AI directly to governed data, so they can move faster, operate with greater clarity, and create measurable impact at scale.” "Enterprises are rapidly moving from experimenting with AI to putting intelligent agents to work that drive real business outcomes," said Matt Garman, CEO of AWS. "Snowflake has built on AWS since day one, and their deepened commitment to run on Graviton delivers the world-class performance, flexibility, and cost savings customers need to run data warehousing and AI workloads at scale." Bringing AI to Where Enterprise Data Lives AI is only as powerful as the data behind it. The expanded collaboration is anchored in a technical architecture that brings foundation models directly to governed enterprise data, eliminating the complexity and risk of moving sensitive information between systems. Snowflake Cortex AI enables customers to build and deploy AI applications for text-to-SQL, summarization, sentiment analysis, and entity extraction directly within their Snowflake environment. Enterprises are rapidly adopting these capabilities to run AI on trusted, governed data without moving it outside their secure perimeter. Snowflake leverages AWS Graviton processors, delivering significant price-performance improvements for customers, and utilizing high performance, GPU-accelerated Amazon EC2 instances for AI model training and inference. Accelerating AI Adoption with AWS Since Snowflake first became available in AWS Marketplace, customers have embraced it as the fastest path to procure and deploy Snowflake's AI and data capabilities - surpassing $7 billion in lifetime sales and exceeding $2 billion in calendar year sales in 2025, more than doubling transaction growth year-over-year. The expanded SCA builds on that trajectory, scaling joint initiatives to help even more customers discover, procure, and deploy AI and data solutions through AWS Marketplace with simplified contracting, faster procurement. Snowflake has also continued expanding its global footprint on AWS, with launches completed or underway in 10 new regions including New Zealand (Auckland), South Africa (Cape Town), Thailand (Bangkok), AWS European Sovereign Cloud, and others to help customers meet data residency requirements and deploy AI closer to where their business operates. Customers Deploying AI on Governed Data From startups to global enterprises, customers including Fetch and Hex use Snowflake on AWS to unify data, eliminate silos, and deploy AI applications and agents on governed data to drive measurable business impact. “AI is deeply embedded in how Fetch builds and operates every day, and our work with Snowflake and AWS is strengthening that foundation,” said Daniel Block, General Manager of Revenue and Partnerships, Fetch. “With Snowflake Cortex AI, we’ve deployed a semantic agent that allows our sales teams to query campaign data in natural language and get instant insights. This enables faster, more informed decision-making across our business to deliver more value for our brand partners.” "Snowflake on AWS is the foundation that many of our customers rely on to move fast with data," said Caitlin Colgrove, Co-Founder and CTO, Hex. "For teams using Hex to explore, analyze, and build with AI, having that layer be secure, governed, and performant isn't a nice-to-have — it's what makes enterprise AI adoption real." Snowflake and AWS will further demonstrate their shared vision for enterprise AI at Snowflake Summit 26. Learn more about the power of Snowflake on AWS here. Forward-Looking Statements This press release contains express and implied forward-looking statements, including statements regarding Snowflake’s business strategy, plans, opportunities, or priorities; Snowflake’s products, services, and technology offerings, including those that are under development or not generally available; market growth, trends, and competitive considerations; Snowflake’s vision, strategy, and expected benefits relating to AI and other emerging product areas; and the integration, interoperability, and availability of Snowflake’s products, services, and technology offerings with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). View source version on businesswire.com: https://www.businesswire.com/news/home/20260527269473/en/ Media Contact
Courtney Sbrocca
Corporate PR Specialist, Snowflake
press@snowflake.com Original: Snowflake Expands AWS Collaboration with $6B Commitment to Accelerate Enterprise Agentic AI Adoption

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWApril 20, 2026 2:03 AM
PR Newswire (US)

LOS ANGELES, April 20, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.CLASS PERIOD: June 27, 2023 to February 28, 2024DEADLINE: April 27, 2026CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate.WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT:David J. Schwartz
DJS Law Group
274 White Plains Road, Suite 1
Eastchester, NY 10709
Phone: 914-206-9742
Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302746770.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWApril 13, 2026 12:11 AM
PR Newswire (US)

LOS ANGELES, April 13, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.CLASS PERIOD: June 27, 2023 to February 28, 2024DEADLINE: April 27, 2026CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate.WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT:David J. Schwartz
DJS Law Group
274 White Plains Road, Suite 1
Eastchester, NY 10709
Phone: 914-206-9742
Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302740010.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWApril 6, 2026 3:12 AM
PR Newswire (US)

LOS ANGELES, April 6, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.CLASS PERIOD: June 27, 2023 to February 28, 2024DEADLINE: April 27, 2026CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate.WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT:David J. SchwartzDJS Law Group274 White Plains Road, Suite 1Eastchester, NY 10709Phone: 914-206-9742Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302734508.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Appoints Jonathan Beaulier as Chief Revenue OfficerMarch 31, 2026 9:05 AM
Business Wire
Reaffirms Guidance for First Quarter and Full-Year of Fiscal 2027


Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that Jonathan Beaulier (JB), a Snowflake veteran who has been instrumental in driving Snowflake’s growth since 2016, has been appointed as the company’s Chief Revenue Officer, effective March 31, 2026. In his new role, Beaulier will be responsible for Snowflake’s revenue and go-to-market teams, helping to lead Snowflake through its next chapter of growth. Mike Gannon, Snowflake’s current CRO, has decided to leave the company for personal reasons.


“JB has been a key driver of our success for the past ten years, and has consistently proven his ability to deliver results at scale,” said Sridhar Ramaswamy, Snowflake’s Chief Executive Officer. “His trusted position in the sales team and with our customers, and his passion for driving change, makes him uniquely positioned to deliver aggressive growth during this transformational time in the market. I also want to thank Mike Gannon for his contribution to Snowflake, and I wish him well in the future.”


“Having spent the last decade helping to build this organization, I am incredibly energized to take on this new role,” said Beaulier. “Our AI-first approach has opened up a unique opportunity for us to deliver even more value to our customers and I look forward to leveraging my experience with our products and customers to spearhead our next chapter of growth.”


Beaulier has served as Snowflake’s GVP, U.S. Majors Sales since August 2024. Prior to that, he served in various senior sales roles with Snowflake, including as VP of Sales – Financial Services & Insurance from February 2022 to August 2024.


Additionally, Snowflake reaffirms its guidance for the first quarter and full-year of fiscal 2027, as previously announced on February 25, 2026 in its earnings release for the fiscal fourth quarter and fiscal year ended January 31, 2026. Snowflake’s guidance philosophy remains unchanged.


Forward-Looking Statements


This release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding our leadership transition, plans, beliefs, and expectations, and outlook for the first quarter and full-year of fiscal 2027 financial results. Words such as “guidance,” “outlook,” “expect,” “should,” “believe,” “may,” “will,” “might,” “could,” and variations of these terms or the negative of these terms and similar expressions are intended to identify these forward-looking statements. Other than statements of historical fact, all statements contained in this release are forward-looking statements. The forward-looking statements contained in this release are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to, those related to our business and financial performance; general market and business conditions, downturns, or uncertainty, including higher inflation, tariffs and trade wars, extended federal government shutdowns, higher interest rates, fluctuations or volatility in capital markets or foreign currency exchange rates, and geopolitical instability; our ability to attract and retain customers that use our platform to support their end-to-end data lifecycle; our ability to execute on our business strategy, including our strategy across our product categories; our ability to respond rapidly and effectively to emerging technology trends, including the adoption and use of AI, and the extent to which our investments in new technologies are successful; the extent to which customers continue to optimize consumption; the impact of new or optimized product features and pricing strategies on consumption, including Iceberg tables and tiered storage pricing; our ability to consummate and realize the anticipated benefits of any acquisitions, strategic investments, partnerships, or alliances; unforeseen technical, operational, or business challenges impacting the timing, scope, or success of strategic partnerships; the extent to which customers continue to rationalize budgets and prioritize cash flow management, including through shortened contract durations; our ability to develop new products and services and enhance existing products and services; the extent to which customer adoption of new product capabilities results in durable consumption; the growth of successful native applications on the Snowflake Marketplace; our ability to increase and predict customer consumption of our platform, particularly in light of the impact of holidays on customer consumption patterns; our ability to compete effectively in a continually evolving market in which enterprises are increasingly adopting AI to perform core functions and significant disruption is being driven by AI; our ability to increase our penetration into existing markets and enter and grow new markets, including highly-regulated markets such as financial services, healthcare, and the public sector; our ability to attract, recruit, and retain qualified personnel to support our operations and growth; the impact of cybersecurity threat activity directed at us or our customers and any resulting reputational or financial damage; our ability to manage growth; and those described under the caption “Risk Factors” and elsewhere in our Form 10-K for the fiscal year ended January 31, 2026 and other filings and reports we make with the Securities and Exchange Commission from time to time.


Moreover, we operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible for us to predict all risks, nor can we assess the impact of all factors on our business, including our leadership transitions, or the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or our management's good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260331685931/en/
Investor Contact

Katherine McCracken

IR@snowflake.com


Press Contact

Eszter Szikora

Press@snowflake.com


Original: Snowflake Appoints Jonathan Beaulier as Chief Revenue Officer

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWMarch 23, 2026 1:21 AM
PR Newswire (US)

LOS ANGELES, March 23, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.CLASS PERIOD: June 27, 2023 to February 28, 2024DEADLINE: April 27, 2026CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate.WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT:David J. Schwartz
DJS Law Group
274 White Plains Road, Suite 1
Eastchester, NY 10709
Phone: 914-206-9742
Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302721692.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWMarch 16, 2026 3:12 AM
PR Newswire (US)

LOS ANGELES, March 16, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.CLASS PERIOD: June 27, 2023 to February 28, 2024DEADLINE: April 27, 2026CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate.WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT:David J. SchwartzDJS Law Group274 White Plains Road, Suite 1 Eastchester, NY 10709Phone: 914-206-9742Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302714237.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Research Reveals 85% of Healthcare Leaders View Interoperability as Foundational to Scaling AIMarch 10, 2026 3:00 PM
Business Wire
Findings underscore a turning point in AI adoption in healthcare, where achieving measurable efficiency and cost savings with AI depends on breaking down data silos across fragmented systems



85% of healthcare and public health agency leaders report that improving data sharing and interoperability is a higher priority today than it was two years ago as organizations scale AI and pursue broader operational and value-based care goals



77% of organizations have already invested or plan to invest in generative or agentic AI technologies, prioritizing high-impact use cases such as administrative workflow automation, clinical documentation, and revenue cycle operations



More than half of respondents expect AI to deliver time savings of 10-50%, while 42% anticipate moderate cost savings as initiatives mature



Snowflake (NYSE: SNOW), the AI Data Cloud company, in collaboration with Hakkoda, an IBM company, today released new research revealing that as healthcare organizations and public health agencies scale AI beyond pilot programs, improving interoperability is becoming foundational to broader AI deployment. With 77% of organizations investing in generative or agentic AI, 85% of leaders report that improving interoperability — the ability to securely share and use data across clinical, administrative, and financial systems — has become a higher priority over the past two years as they work to scale AI.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260310866148/en/
??“Across healthcare, AI is moving into operational environments and leaders are holding it to a higher standard,” said Jesse Cugliotta, Global Head of Healthcare and Life Sciences, Snowflake. “Organizations want measurable efficiency gains, workforce relief, and better patient outcomes. That only happens when clinical, financial, and operational data can move securely and seamlessly across systems. Interoperability is no longer a compliance checkbox — it’s the engine that makes scalable AI possible.”


AI Investment Expands Across Core Healthcare Workflows


AI investment is accelerating across healthcare organizations, with 77% of respondents reporting they have already invested or plan to invest in generative or agentic AI technologies. Organizations are prioritizing high-impact use cases such as administrative workflow automation (60%), clinical documentation and scribing (50%), and revenue cycle operations, including billing and prior authorization (47%).


These priorities reflect the mounting pressure on healthcare organizations to reduce administrative burdens and support clinicians, enabling more time for direct patient care. By automating these workflows, organizations aim to increase revenue cycle efficiency amid persistent workforce constraints and reimbursement complexity. As a result, AI investment is shifting toward practical applications shaped by internal priorities.


Interoperability Becomes Critical as AI Scales


As AI initiatives expand, 85% of healthcare leaders report that improving data sharing and interoperability has become a higher priority compared to two years ago. Operational efficiency and decision making (74%), improving the patient experience (71%), and helping drive value-based care (64%) were cited as the primary drivers behind increased focus on interoperability.


This shift reflects a broader change in how healthcare organizations view interoperability — not only as a compliance requirement but as a strategic enabler of scalable AI initiatives. Compared to Snowflake’s 2023 survey, where improving patient care and coordination ranked as the top driver, operational efficiency and decision-making now lead as primary motivators for interoperability. While internal data sharing is already widespread at 82%, leaders acknowledge that connecting systems across departments and partners will be critical to expanding AI across the organization.


Leaders Expect Measurable Returns


Healthcare organizations increasingly expect AI investments to deliver quantifiable results. Fifty-two percent of respondents anticipate time savings between 10% and 50%, while 42% expect moderate cost savings as AI initiatives mature.


These findings reflect a shift toward evaluating AI through a more operational lens, with leaders placing greater emphasis on measurable productivity and efficiency gains. Respondents also cite mature data governance as an important contributor to AI effectiveness, underscoring the role of trusted, connected data in supporting scalable AI.


“AI is rapidly becoming embedded in mission-critical healthcare workflows,” said Chris Puuri, Global Head of Healthcare and Life Sciences at Hakkoda, an IBM Company. “The organizations that will see returns are the ones tackling data fragmentation head-on and building interoperable foundations. That’s what turns AI investment into measurable efficiency, financial strength, and better patient outcomes.”


Learn More:



Read the full research report, “The Future of AI + Interoperability in Healthcare Report,” and learn more about the findings in this blog post.



Explore Snowflake’s solutions for healthcare organizations within the AI Data Cloud for Healthcare & Life Sciences.



Stay on top of the latest news and announcements from Snowflake on LinkedIn and X.



Methodology


The 2026 Future of AI + Interoperability in Healthcare Report is based on responses from 183 US senior healthcare leaders across providers, payers, health systems, non-profit health organizations and public health agencies. The online survey was conducted in collaboration with Hakkoda, an IBM Company, between October 8, 2025 and January 12, 2026. Figures in this release have been rounded for ease of presentation.


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260310866148/en/
Media Contacts

Courtney Sbrocca

Customer & Industries PR Specialist, Snowflake

press@snowflake.com


Original: Snowflake Research Reveals 85% of Healthcare Leaders View Interoperability as Foundational to Scaling AI

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWMarch 9, 2026 2:03 AM
PR Newswire (US)

LOS ANGELES, March 9, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake " or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery. CLASS PERIOD: June 27, 2023 to February 28, 2024 DEADLINE: April 27, 2026 CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate . WHY DJS LAW GROUP? DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics. CONTACT: David J. SchwartzDJS Law Group274 White Plains Road, Suite 1Eastchester, NY 10709Phone: 914-206-9742Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302707774.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

SUEWALLST: INSTITUTIONAL SNOW HOLDERS FACE PORTFOLIO LOSSES FROM ALLEGED FRAUDMarch 5, 2026 2:25 PM
PR Newswire (US)

Notice to Pension Funds, Asset Managers, and FiduciariesNEW YORK, March 5, 2026 /PRNewswire/ -- Institutional investors holding positions in Snowflake Inc. (NYSE: SNOW) during the period June 27, 2023 through February 28, 2024 may wish to evaluate lead plaintiff opportunities in a pending securities class action. Request an institutional investor loss assessment. You may also contact Joseph E. Levi, Esq. at jlevi@SueWallSt.com or (888) SueWallSt.With over 334 million shares outstanding and actively traded on the NYSE, SNOW was widely held across institutional portfolios. The stock declined $41.72 per share, or 18.14%, following corrective disclosures on February 28, 2024. The Court has set April 27, 2026 as the deadline to apply for lead plaintiff appointment.Notice to Institutional HoldersA securities class action contends that Snowflake and certain officers made materially misleading statements about consumption patterns, product revenue growth, and the viability of a $10 billion revenue target for 2029. According to the action, undisclosed headwinds from product efficiency improvements, open-source table formats, and volume-based storage discounts were already eroding the consumption-based revenue model while management projected confidence to investors.For pension funds, endowments, and asset managers that held SNOW during the Class Period, the magnitude of the per-share decline raises questions about portfolio-level impact and fiduciary response obligations.Contact us for institutional recovery options or call (212) 363-7500.Fiduciary Obligations and Recovery Options- Fiduciaries have a duty to evaluate available legal remedies when portfolio holdings suffer losses attributable to alleged securities fraud- Serving as lead plaintiff allows an institutional investor to select counsel, oversee litigation strategy, and ensure the class recovery is maximized- Lead plaintiff appointment carries no out-of-pocket cost; counsel fees are paid only from any recovery obtained- The PSLRA favors institutional investors with the largest financial interest in the relief sought- Absent class members retain the right to participate in any recovery without serving as lead plaintiff- Institutional holders with significant SNOW positions during the Class Period are encouraged to assess their options before the April 27, 2026 deadlinePortfolio Impact AssessmentThe lawsuit alleges that Snowflake's stock price was artificially inflated throughout the Class Period by positive statements about stabilizing consumption, new product tailwinds, and reaffirmed long-term revenue targets. When the Company disclosed that FY '25 product revenue growth would reach only 22% year-over-year, drastically below the 30% the market anticipated, and withdrew its $10 billion 2029 target, the resulting repricing affected every institutional holder that acquired shares based on prior representations."Institutional investors play a critical role in securities class actions. Their participation as lead plaintiff helps ensure vigorous prosecution of claims and meaningful accountability for the benefit of all class members." -- Joseph E. Levi, Esq.Contact us for institutional recovery options or contact Joseph E. Levi, Esq. at (212) 363-7500.INSTITUTIONAL INVESTOR REPRESENTATION -- Levi & Korsinsky, LLP provides sophisticated counsel to institutional investors evaluating lead plaintiff opportunities. The firm has recovered hundreds of millions of dollars. Ranked among ISS Top 50 for seven consecutive years.CONTACT:
Levi & Korsinsky, LLP
Joseph E. Levi, Esq.
33 Whitehall Street, 27th Floor
New York, NY 10004
jlevi @Icons1



View original content:https://www.prnewswire.com/news-releases/suewallst-institutional-snow-holders-face-portfolio-losses-from-alleged-fraud-302705691.htmlSOURCE SueWallSt.com

Original: SUEWALLST: INSTITUTIONAL SNOW HOLDERS FACE PORTFOLIO LOSSES FROM ALLEGED FRAUD

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWMarch 5, 2026 3:32 AM
PR Newswire (US)

LOS ANGELES, March 5, 2026 /PRNewswire/ -- The DJS Law Group  reminds investors of a class action lawsuit against  Snowflake Inc. ("Snowflake " or "the Company") (NYSE: SNOW ) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery. CLASS PERIOD:  June 27, 2023 to February 28, 2024 DEADLINE: April 27, 2026 CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate . WHY DJS LAW GROUP?  DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics. CONTACT: David J. SchwartzDJS Law Group274 White Plains Road, Suite 1 Eastchester, NY 10709Phone: 914-206-9742Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302704840.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWMarch 2, 2026 4:01 AM
PR Newswire (US)

LOS ANGELES, March 2, 2026 /PRNewswire/ -- The DJS Law Group reminds investors of a class action lawsuit against  Snowflake Inc. ("Snowflake" or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery. CLASS PERIOD:  June 27, 2023 to February 28, 2024 DEADLINE: April 27, 2026 CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate . WHY DJS LAW GROUP?  DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.CONTACT: 
David J. Schwartz
DJS Law Group
274 White Plains Road, Suite 1
Eastchester, NY 10709
Phone: 914-206-9742
Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302700622.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights – SNOWFebruary 27, 2026 7:30 AM
Business Wire
The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. (“Snowflake” or “the Company”) (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.


Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery.


CLASS PERIOD: June 27, 2023 to February 28, 2024


DEADLINE: April 27, 2026


CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake’s pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake’s public statements were false and materially misleading throughout the class period.


If you are a shareholder who suffered a loss, contact us to participate.


WHY DJS LAW GROUP? DJS Law Group’s primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.


Join the case to recover your losses.


This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260227293246/en/
David J. Schwartz

DJS Law Group

274 White Plains Road, Suite 1

Eastchester, NY 10709

Phone: 914-206-9742

Email: David@djslawllp.com


Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights – SNOW

Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOWFebruary 27, 2026 2:52 AM
PR Newswire (US)

LOS ANGELES, Feb. 27, 2026 /PRNewswire/ --  The DJS Law Group reminds investors of a class action lawsuit against Snowflake Inc. ("Snowflake " or "the Company") (NYSE: SNOW) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.Shareholders who purchased shares of SNOW during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointments. Appointment as lead plaintiff is not required to partake in any recovery. CLASS PERIOD:  June 27, 2023 to February 28, 2024 DEADLINE: April 27, 2026 CASE DETAILS: According to the Complaint, the Company made false and misleading statements to the market. Snowflake's pricing changes and efficiency gains by customers threatened its consumption levels and revenues. The Company continued to make positive claims about its future performance despite these challenges. Based on these facts, Snowflake's public statements were false and materially misleading throughout the class period.If you are a shareholder who suffered a loss, contact us to participate . WHY DJS LAW GROUP?  DJS Law Group's primary focus is to enhance investor return through balanced counseling and aggressive advocacy. We specialize in securities class actions, corporate governance litigation, and domestic/international M&A appraisals. Our clients are some of the largest and most sophisticated hedge funds and alternative asset managers in the world. The litigation claims of our clients are extraordinarily valuable assets that demand respect, focus, and results.Join the case to recover your losses.This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics. CONTACT: David J. Schwartz
DJS Law Group
274 White Plains Road, Suite 1
Eastchester, NY 10709
Phone: 914-206-9742
Email: David@djslawllp.com



View original content:https://www.prnewswire.com/news-releases/snowflake-inc-sued-for-securities-law-violations---contact-the-djs-law-group-to-discuss-your-rights--snow-302699282.htmlSOURCE DJS Law Group LLP

Original: Snowflake Inc. Sued for Securities Law Violations - Contact the DJS Law Group to Discuss Your Rights - SNOW

Snowflake shares subdued despite strong cloud and AI-driven revenue growthFebruary 26, 2026 6:33 AM
IH Market News
Snowflake (NYSE:SNOW) delivered fourth-quarter earnings and revenue that topped Wall Street expectations, supported by rising enterprise demand for cloud data platforms and artificial intelligence workloads, although the stock moved slightly lower in premarket trading on Thursday.The muted market reaction came despite solid financial performance, as investors weighed management’s forward outlook against elevated expectations.“Snowflake produced fourth-quarter results with upside to consensus. However, shares traded off slightly after hours as we believe management set higher expectations when they articulated their methodology on the third-quarter call,” analysts at Truist Securities said in a note.



Earnings and product revenue beat forecasts



Adjusted earnings per share reached $0.34 for the quarter, exceeding analyst estimates of $0.27. Revenue climbed to $1.28 billion, ahead of consensus projections of $1.26 billion.Product revenue — a key metric that excludes professional services — increased roughly 30% year over year to $1.23 billion, also surpassing expectations of $1.18 billion.Looking ahead, Snowflake projected fiscal 2027 product revenue of $5.66 billion. For the upcoming first quarter, the company expects product revenue between $1.26 billion and $1.27 billion.



Cloud migration and AI adoption support demand



Corporate customers continue to increase spending as they migrate data workloads to cloud environments and develop AI-driven applications, trends that are underpinning demand for Snowflake’s platform.The company operates under a consumption-based pricing model, meaning revenue fluctuates depending on how much computing power and storage customers use. While this structure allows Snowflake to benefit from expanding workloads, it also exposes the company to competition from privately held rival Databricks, which recently secured $5 billion in funding.



Expanding AI partnerships



As part of efforts to strengthen its artificial intelligence offering, Snowflake has entered into separate multi-year agreements worth $200 million each with OpenAI and Anthropic, enabling integration of their AI models directly into its data platform.The partnerships are intended to deepen Snowflake’s positioning at the intersection of enterprise data infrastructure and generative AI adoption.Snowflake stock price

Original: Snowflake shares subdued despite strong cloud and AI-driven revenue growth

Tech stocks poised to support further gains on Wall Street: Dow Jones, S&P, Nasdaq, FuturesFebruary 25, 2026 9:16 AM
IH Market News
U.S. stock index futures pointed to a higher open on Wednesday, suggesting equities could build on the strong advances recorded in the previous trading session.Momentum may continue to be driven by the technology sector, as investors grow increasingly optimistic ahead of earnings from AI chip leader Nvidia (NASDAQ:NVDA).Nvidia, scheduled to report fourth-quarter results after the market close, was up 0.8% in premarket trading.Software companies Salesforce (NYSE:CRM) and Snowflake (NYSE:SNOW) are also set to release quarterly earnings later in the day, keeping attention firmly on the tech space.Oracle (NYSE:ORCL) could also provide support to the sector, with shares rising 2.4% in premarket trading after Oppenheimer upgraded the stock to Outperform from Perform.Despite the positive tone, overall trading volumes may remain relatively light, as the absence of major U.S. economic data could prompt some investors to remain cautious.Following Monday’s market sell-off, stocks rebounded sharply on Tuesday, with all three major averages posting notable gains led by technology shares.The benchmarks finished close to session highs, with the Nasdaq climbing 236.41 points, or 1.0%, to 22,863.68. The Dow Jones Industrial Average gained 370.44 points, or 0.8%, to 49,174.50, while the S&P 500 advanced 52.32 points, or 0.8%, to 6,890.07.Part of the rally appeared driven by bargain hunting, as investors moved back into equities after the sharp decline seen earlier in the week.On Monday, the Dow had fallen to its lowest closing level in a month amid renewed uncertainty surrounding President Donald Trump’s tariff policies.Semiconductor stocks played a key role in Tuesday’s rebound, with the Philadelphia Semiconductor Index rising 1.5% to a record closing high.Advanced Micro Devices (NASDAQ:AMD) was among the strongest performers in the sector, surging 8.8%.The gain followed AMD’s announcement of a 6-gigawatt agreement to power Meta’s (NASDAQ:META) next generation of AI infrastructure using multiple generations of AMD Instinct GPUs.Networking stocks also showed notable strength, reflected by a 1.5% advance in the NYSE Arca Networking Index.Oil service, gold, airline and software stocks likewise posted solid gains, joining most major sectors in moving higher.On the economic front, data released by the Conference Board showed an improvement in U.S. consumer confidence in February.The organization reported that its consumer confidence index rose to 91.2 in February from a revised 89.0 in January. Economists had expected the index to increase to 88.0 from the previously reported 84.5.“Confidence ticked up in February after falling in January, as consumers’ pessimistic expectations for the future eased somewhat,” said Dana M Peterson, Chief Economist, The Conference Board.“Four of five components of the Index firmed,” she added. “Nonetheless, the measure remained well below the four-year peak achieved in November 2024 (112.8).”Nvidia stock priceSalesforce stock priceSnowflake stock priceOracle stock priceAdvanced Micro Devices stock priceMeta stock price

Original: Tech stocks poised to support further gains on Wall Street: Dow Jones, S&P, Nasdaq, Futures

U.S. Figure Skating Elevates Athlete Development and Fan Engagement with Snowflake IntelligenceFebruary 12, 2026 3:00 PM
Business Wire
The collaboration brings Snowflake Intelligence, an enterprise intelligence agent, to the heart of U.S. Figure Skating, transforming data into faster decisions, smarter strategy and stronger foundation for the sport



Snowflake Intelligence will combine athlete performance, fan engagement, and business operations data into a single, reliable source of insight



Leaders and coaches will gain contextual visibility into performance trends, using natural language to uncover deeper insights and inform decisions on and off the ice



The collaboration builds on Snowflake's commitment as the Official Data Collaboration Provider for Team USA and the LA28 Games to deliver the most data-driven Games of all time



 


Snowflake, the AI Data Cloud company, today announced a new collaboration with U.S. Figure Skating, the national governing body for the sport in the United States, focused on advancing the organization’s data and AI capabilities across business operations, athlete performance insights, and the long-term development pipeline of figure skating.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260212030246/en/
“Data plays an increasingly important role in how we operate, grow and support athletes at every level of the sport,” said Annie White, U.S. Figure Skating Chief Commercial Officer. “As the pace of sport and fan engagement continues to evolve, we are investing in technology partnerships that help position the organization and its athletes for sustained success on and off the ice. Our collaboration with Snowflake represents an exciting step toward better utilizing our data and exploring new ways to drive innovation across athlete development, performance insights and fan engagement.”


Through this collaboration, U.S. Figure Skating will leverage Snowflake Intelligence, an enterprise intelligence agent that provides anyone with the ability to answer complex questions in natural language and puts insights at their fingertips. Snowflake Intelligence can help bring together data from across the figure skating ecosystem – spanning athlete performance analytics, competition scoring, operational data, and fan engagement – enabling a clearer understanding of the drivers behind key trends and supporting future innovation and growth.


“Snowflake is proud to collaborate with U.S. Figure Skating, in addition to our role as Official Data Collaboration Provider of Team USA and the LA28 Olympic and Paralympic Games,” said Denise Persson, Chief Marketing Officer at Snowflake. “In a sport defined by precision and edge, turning insight into action is critical. Snowflake Intelligence provides U.S. Figure Skating with a trusted AI agent that democratizes data, empowering every stakeholder to make smarter, faster decisions on and off the ice.”


This new collaboration with U.S. Figure Skating extends Snowflake’s commitment to bringing best-in-class innovation across Team USA. Snowflake is the Official Data Collaboration Partner for Team USA and the LA28 Olympic and Paralympic Games, as well as the Official Data Cloud Provider for the USA Bobsled/Skeleton organization.


Learn More



Follow along with Snowflake on LinkedIn and X as we support Team USA at the Olympic and Paralympic Winter Games Milano Cortina 2026.



Explore how the USA Bobsled/Skeleton team is leveraging Snowflake Intelligence to redefine speed and precision on ice.



Learn how the AI Data Cloud for Sports can improve fan engagement and athlete performance.



About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).


About U.S. Figure Skating


U.S. Figure Skating is the national governing body for the sport of figure skating in the United States as recognized by the United States Olympic and Paralympic Committee and the International Skating Union. U.S. Figure Skating is a nonprofit organization comprised of nearly 640 member and collegiate clubs and over 1,000 registered Learn to Skate USA® and Aspire programs representing over 249,000 members. U.S. Figure Skating is charged with the development of the sport on all levels within the United States, including athletes, officials, sanctioning of events and exhibitions, and establishing the rules and guidelines by which the sport is governed.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260212030246/en/
Press Contact

Danica Stanczak

Global Corporate Communications, Snowflake

press@snowflake.com


Original: U.S. Figure Skating Elevates Athlete Development and Fan Engagement with Snowflake Intelligence

RESAAS Announces Snowflake Integration for Enterprise Real Estate DataFebruary 11, 2026 8:30 AM
PR Newswire (US)

Integration Between RESAAS and Snowflake Unlocks Enterprise-Grade Insights from Proprietary Real Estate DataVANCOUVER, BC, Feb. 11, 2026 /PRNewswire/ - RESAAS Services Inc. ("RESAAS" or "the Company") (TSXV: RSS) (OTCQB: RSASF), a leading provider of technology solutions for the real estate industry, today announced an integration with Snowflake (NYSE: SNOW), the AI Data Cloud company, enabling RESAAS's top-tier enterprise clients to seamlessly synchronize proprietary real estate data captured through the RESAAS platform directly into their existing Snowflake environments.







The integration allows enterprise customers to ingest RESAAS data via a secure, automated data feed, making RESAAS's unique, high-value real estate intelligence immediately available alongside their internal datasets within Snowflake. This enables customers to perform advanced analytics, build custom models, and generate deeper insights using their preferred business intelligence and data science tools."Enterprise real estate organizations are increasingly data-driven, but too often their most valuable external datasets live in silos," said Tom Rossiter, CEO of RESAAS. "The RESAAS+Snowflake integration allows our largest customers to fully operationalize RESAAS data within their existing data stacks, unlocking significantly more value, insight, and speed to decision-making."RESAAS captures and curates proprietary real estate data across assets, markets, and participant activity, providing insights that are difficult or impossible to replicate through traditional sources. By integrating directly with Snowflake, customers can now combine RESAAS data with internal operational, financial, and third-party datasets to power use cases such as portfolio optimization, market intelligence, forecasting, and AI-driven analytics.The Snowflake integration is now available to RESAAS enterprise clients and supports secure, scalable data delivery designed to meet the requirements of large, global organizations.RESAAS expects the Snowflake integration to accelerate expansion of enterprise deployments throughout 2026 and beyond, particularly among global real estate firms seeking unified, real-time insight across referral activity, transaction pipelines, and cross-border collaboration.About RESAAS Services Inc.RESAAS is an award-winning technology company serving the Global Residential and Commercial Real Estate Industry.Over 600,000 Residential Real Estate Agents in 160 countries use RESAAS to obtain unique Real Estate Data, access to qualified international referrals and Coming Soon listings. Commercial Real Estate's largest Brokerages and Institutions leverage RESAAS as a Data Exchange to securely distribute their own data with designated third-parties.For more information, please visit www.resaas.com.DisclaimerThe TSX Venture Exchange has neither approved nor disapproved the contents of this news release. Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.The statements made in this news release may contain forward-looking statements that may involve a number of risks and uncertainties. Actual events or results could differ materially from RESAAS Services Inc.'s expectations and projections.



View original content to download multimedia:https://www.prnewswire.com/news-releases/resaas-announces-snowflake-integration-for-enterprise-real-estate-data-302684802.htmlSOURCE RESAAS Services Inc.

Original: RESAAS Announces Snowflake Integration for Enterprise Real Estate Data

United Rentals Empowers Frontline Decision-Making with Business Intelligence Agent Built on SnowflakeFebruary 4, 2026 2:00 PM
Business Wire
Fortune 300 leader is deploying AI agents on Snowflake to help teams across 1,600+ branches make faster, data-driven decisions



United Rentals has rolled out a new Business Intelligence Agent powered by Snowflake Intelligence that employees use to analyze financial and operational data and get real-time insights through natural-language queries



United Rentals is leveraging Snowflake Cortex Code to speed up the development, testing, and iteration of additional AI agents, built on the same underlying data and controls



With Snowflake as its secure, governed data foundation, United Rentals is accelerating AI innovation across the business while maintaining trust, consistency, and control at scale



Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that United Rentals, widely recognized as the world’s largest equipment rental provider, has rolled out a new AI agent built on Snowflake Intelligence to operational teams working across 1,600+ branches. The Business Intelligence Agent allows branch managers, sales leaders, and regional teams to ask questions of their company data in plain language, drill down, and get actionable information quickly.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260204153122/en/United Rentals Empowers Frontline Decision-Making with Business Intelligence Agent Built on Snowflake
The deployment gives employees a more flexible, conversational way to interact with company data across financial and operational functions. Since rolling out earlier this year, United Rentals has seen steady growth in adoption and repeat usage. This approach highlights how AI can enhance business insight for industrial services companies managing large fleets and geographically distributed teams.


“Our innovation vision is to apply technology in ways that strengthen our operational processes and help our people do their jobs more effectively,” said Tony Leopold, Chief Technology and Strategy Officer, United Rentals. “Snowflake helps us build on our existing data foundation with a trusted, governed platform. With Snowflake Intelligence, employees can use natural language to better understand their data, discover actionable insights, and make more informed decisions.”


“United Rentals is using Snowflake Intelligence to give employees clearer, faster answers in the moments that matter most,” said Mike Gannon, Chief Revenue Officer, Snowflake. “By enabling frontline teams to ask natural language questions and get real-time, trusted answers without waiting on manual analysis, they’re embedding intelligence directly into daily decision-making. In large, complex organizations, it’s this consistent, governed intelligence that separates AI that truly works from AI that doesn’t.”


How United Rentals Is Scaling Trusted, AI-Driven Decisions with Snowflake Intelligence


Leveraging Snowflake, United Rentals unified financial operations, fleet and telematics data, pricing, contracts, accounts receivable, and internal documentation into a single governed platform, creating a stronger foundation to extend trusted insights and AI across the enterprise. This approach allows analysts to continue querying data and building visualizations while also enabling business users to ask questions in real time, reducing manual effort and accelerating decision-making across the organization.


Powered by Snowflake Intelligence, United Rentals’ Business Intelligence Agent allows employees to interact directly with their data and understand not just what is happening but why. This natural-language experience uses United Rentals’ governed enterprise data and shared business definitions, such as how metrics are calculated or how performance is measured. This also ensures that the answers are consistent, explainable, and aligned with how the company runs its operations. Every response respects existing data access controls, so users only see the information they are authorized to view.


Snowflake Intelligence is helping teams at United Rentals move faster and operate with greater confidence, giving leaders and frontline teams a shared understanding of the business. By turning trusted data into immediate, explainable answers, Snowflake is enabling more consistent decisions across hundreds of locations.


Building and Scaling Additional Agents with Snowflake Cortex Code


In parallel with the Business Intelligence Agent, United Rentals is using Snowflake Cortex Code, a data-native AI coding agent that automates and accelerates end-to-end enterprise development, to build, test, and maintain additional internal AI agents. Cortex Code helps United Rentals translate business logic and data context into production-ready AI apps, reducing the time from prototype to deployment.


Cortex Code builds evaluation sets and runs automated tests as part of its development process, enabling reliability and performance as AI experiences scale. This allows teams to iteratively improve both models and supporting logic, validate changes before new capabilities are released, and ensure consistent behavior as usage scales.


While Snowflake Intelligence powers day-to-day decision-making for frontline teams, Cortex Code enables United Rentals to improve the quality, reliability, and speed of development for additional agents those teams rely on.


United Rentals' Business Intelligence Agent is the first of several AI apps developed on Snowflake using Snowflake Intelligence and Cortex Code. Additional agents are already in progress for equipment health, telematics, and other internal operational use cases. Together, these efforts are supercharging how United Rentals operates, laying the foundation for more intelligent, AI-driven decision-making across the organization.


Learn More:



Learn more about Snowflake Intelligence and Cortex Code.



Check out all the innovations and announcements coming out of BUILD London 2026 on Snowflake’s Newsroom.



Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeBUILD.



About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).


About United Rentals


United Rentals, Inc. is the largest equipment rental company in the world. The company has an integrated network of 1,639 rental locations in North America, 41 in Europe, 40 in Australia and 19 in New Zealand. In North America, the company operates in 49 states and every Canadian province. The company’s approximately 27,900 employees serve construction and industrial customers, utilities, municipalities, homeowners and others. The company offers a fleet of equipment for rent with a total original cost of $22.82 billion. United Rentals is a member of the Standard & Poor’s 500 Index, the Barron’s 400 Index and the Russell 3000 Index® and is headquartered in Stamford, Conn. Additional information about United Rentals is available at unitedrentals.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260204153122/en/
Media Contacts

Olivia Kealey

Customer & Industries PR Lead, Snowflake

press@snowflake.com


Rob Halsey

Vice President, Marketing, United Rentals

rhalsey@ur.com


Original: United Rentals Empowers Frontline Decision-Making with Business Intelligence Agent Built on Snowflake

Snowflake Makes Enterprise Data AI-Ready With Snowflake Postgres and Advanced Innovations for Open Data InteroperabilityFebruary 3, 2026 3:01 AM
Business Wire

Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases



Snowflake Horizon Catalog helps customers like Merck and Motorq access and govern data across different systems and formats with enhanced interoperability, reducing data silos, eliminating lock-in, and helping ensure AI systems run on trusted data



Snowflake is advancing data sharing and data backup capabilities, enabling enterprises to build AI systems that can be securely shared and protected wherever it lives



Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced advancements that make data AI-ready by design, allowing enterprises to rely on data that is continuously available, usable, and governed as AI transitions from experimentation into real-world production systems. With new enhancements to Snowflake Postgres (generally available soon), the world’s most popular database1 now runs natively in the AI Data Cloud so enterprises can consolidate their transactional, analytical, and AI use cases onto a single, secure platform. To help ensure AI systems are trusted at enterprise scale, Snowflake is further embedding enhanced interoperability, governance, and resilience features into its platform, enabling more customers to bring Snowflake directly to their data, wherever it lives.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260203524672/en/Snowflake Postgres unifies the world’s most popular database with analytics and AI on a single, secure platform
“As businesses move from AI experimentation to production, the real challenge is ensuring AI systems can consistently access data that is connected, governed, and discoverable across the enterprise,” said Christian Kleinerman, EVP of Product, Snowflake. “That means eliminating data silos, fragile pipelines, and closed systems that slow down AI deployment and increase risk. By bringing unified operational and analytical data, as well as open interoperability together in one platform, we’re empowering customers to develop enterprise-ready AI systems that work with real business data, securely and at scale.”


“At Sigma, our customers expect live, interactive analytics on the most current business data,” said Jake Hannan, Head of Data, Sigma Computing. “With Snowflake Postgres, we can work directly on fresh transactional data inside Snowflake without relying on complex pipelines or external systems. That gives our teams and customers a simpler, more reliable foundation to build governed analytics and AI-powered experiences that respond in real time.”


Connecting Enterprise Data and AI to Power Mission-Critical Apps and AI Agents


Most organizations still keep their transactional and analytical databases siloed on separate systems, a legacy approach that forces teams to rely on complex pipelines to connect these systems. This fragmentation adds steep costs, slows development, introduces risk, and delays insights. Snowflake Postgres eliminates these pipelines by bringing transactional, analytical, and AI capabilities together on a single, enterprise-ready platform. In turn, full compatibility with open source Postgres allows companies to move their existing apps onto Snowflake, without code changes. Now with Snowflake Postgres, teams can power critical apps and AI agents, analyze business performance and trends using the most up-to-date data from their operations, and build AI-driven features like recommendations or forecasting — all without costly, complex data pipelines or the infrastructure overhead of managing multiple vendors.


Powered by pg_lake, a set of PostgreSQL extensions that allow Postgres to easily work within an organization’s open and interoperable lakehouse grounded in Apache IcebergTM2, enterprises can leverage Snowflake Postgres to directly query, manage, and write to Apache Iceberg tables using standard SQL. This capability is delivered within a familiar Postgres environment, so enterprises can eliminate costly data movement between transactional and analytical systems. Enterprises such as BlueCloud and Sigma Computing are using Snowflake Postgres to simplify their data architectures and run enterprise-ready AI and apps on connected data.


“For BlueCloud, Snowflake Postgres represents a major opportunity to help our customers eliminate data pipelines, without compromising performance,” said Rob Sandberg, SVP and Head of Advisory Consulting, BlueCloud. “Its enterprise-grade Postgres foundation brings real credibility, particularly for the financial services organizations we support. With Snowflake Postgres, we can deliver low-latency transactional workloads alongside analytics and AI on a single platform, reducing overhead and helping our customers be more agile in meeting their business goals.”


Making Data Governed and Open for Trusted AI


As AI moves into production, enterprises need data that remains open, governed, and resilient as it flows across engines, formats, and environments. To address this need, Snowflake is expanding how customers access, share, and govern their data, so AI systems can scale with real-world demands:



Freedom to work across engines without impacting governance controls: To reduce silos and avoid vendor lock-in, Snowflake enables enforcement of the same governance policies when Snowflake data is queried from other engines. Snowflake Horizon Catalog, which provides context and governance for AI across all data, is enabling customers like science and technology company, Merck, and Motorq, a leading connected vehicle intelligence company, to leverage external engines to securely access data in Apache Iceberg tables (now generally available), as well as create, update, or manage data stored in Iceberg tables (public preview soon).



Seamless data collaboration across open formats: As organizations increasingly rely on open table formats, Snowflake is simplifying how those formats are shared without duplicating data or managing fragile pipelines. Open Format Data Sharing extends Snowflake’s zero-ETL sharing model to include formats such as Apache Iceberg and Delta Lake, enabling secure data sharing across teams, clouds, and regions. Customers can now share data in open formats, while maintaining control over access and costs. A new integration with Microsoft OneLake (now generally available) enables mutual customers with secured bidirectional read access for Iceberg data managed by Snowflake or Microsoft Fabric. This means customers can seamlessly access all their data across both platforms without complexity or data duplication.



Built-in resilience to protect business-critical data: To help enterprises address regulatory requirements and withstand disruptions, Snowflake is strengthening how data is protected by default. Snowflake Backups (now generally available) further strengthens data resilience by protecting business-critical data. Organizations can recover quicker from ransomware or disruptions, while ensuring data isn’t altered or deleted once created. These protections give enterprises greater confidence that essential data is preserved, even in the face of unexpected events or security incidents.



Learn More:



Dive deeper into how Snowflake is ensuring customers have AI-ready data to power production AI and intelligent apps in this blog post.



Learn how to get started with Snowflake Postgres with this quickstart.



Learn how to get started with Snowflake Horizon Catalog with this Developer Guide.



Check out all the innovations and announcements coming out of BUILD London 2026 on Snowflake’s Newsroom.



Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeBUILD.



1Stack Overflow (July 31, 2025): “Stack Overflow Annual Developer Survey.” Available at the following link. Stack Overflow.

2Apache Iceberg is a high-performance format for huge analytic tables. “Apache” is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries.


Forward Looking Statements


This press release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) Snowflake’s business strategy, plans, opportunities, or priorities (ii) the release, adoption, and use of Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) Snowflake’s vision, strategy, and expected benefits relating to artificial intelligence and other emerging product areas, including the expected benefits and network effects of the AI Data Cloud, and (v) the integration, interoperability, and availability of Snowflake’s products, services, and technology offerings with and on third-party platforms. Other than statements of historical fact, all statements contained in this press release are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and/or Snowflake management's good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.


© 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260203524672/en/
Media Contacts:

Daria Bianchini

Product PR Specialist, Snowflake

press@snowflake.com

Source: Snowflake Inc.





Original: Snowflake Makes Enterprise Data AI-Ready With Snowflake Postgres and Advanced Innovations for Open Data Interoperability

Snowflake Unveils Cortex Code, An AI Coding Agent That Drastically Increases Productivity by Understanding Your Enterprise Data ContextFebruary 3, 2026 3:05 AM
Business Wire

Cortex Code, Snowflake’s AI coding agent, helps customers like Braze, Decile, dentsu, FYUL, LendingTree, Shelter Mutual Insurance, TextNow, United Rentals, and WHOOP perform complex data engineering, analytics, machine learning, and agent-building tasks in simple, natural language



Cortex Code CLI makes every data team more productive by bringing secure, Snowflake-aware coding assistance to local development workflows so enterprises can build faster within their preferred environments



Snowflake delivers a secure, modern development environment that supports end-to-end AI workflows at scale with a new integration with v0 by Vercel, agentic web search by Brave Search, and enhancements to Workspaces



Snowflake (NYSE: SNOW), the AI Data Cloud company, today unveiled a new Snowflake-native AI coding agent and other tools purpose-built to help organizations move data and AI projects from idea to production faster. With Cortex Code, a data-native AI coding agent that automates and accelerates end-to-end enterprise development, users gain an agent that deeply understands and operates within their enterprise data context. Cortex Code empowers everyone, regardless of their technical expertise, from data experts to domain experts, to build data pipelines, analytics, and AI apps faster, while maintaining enterprise-grade security and governance controls. Cortex Code joins Snowflake Intelligence as a part of the Snowflake Cortex AI product suite, extending the company’s AI-powered capabilities across the entire enterprise data lifecycle. In addition, Snowflake is introducing new capabilities for vibe coding and a collaborative development environment, so users can innovate more seamlessly.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260203694963/en/Cortex Code delivers a dramatic increase in productivity for data teams, simplifying all data operations by bringing secure, context-aware coding assistance to local development environments
“For AI to truly deliver value, it must move beyond experimentation and become an integral part of the systems that teams rely on every day,” said Christian Kleinerman, EVP of Product, Snowflake. “With Cortex Code, we’re reimagining how teams build and operate by embedding AI directly into the development lifecycle with critical data context and controls teams can trust. This materially shifts how organizations build with data and AI, drastically reducing the effort required for users to build solutions that are reliable, governed, and ready to run at enterprise scale.”


Cortex Code: The AI Coding Agent Purpose-Built for the Enterprise Data Stack


As businesses race to deliver real impact with AI, teams across organizations face growing pressure to move faster without impacting trust, accuracy, or scale. Yet many coding tools lack the deep, end-to-end understanding of an organization’s data, processes, and constraints, which is required to move quickly from experimentation to real business impact. Existing solutions often focus narrowly on code generation, without understanding the context of enterprise data, governance requirements, or the complex workflows that span data engineering, analytics, and app development. To move data and AI initiatives forward faster and more reliably, organizations require purpose-built tooling that understands their data environments, simplifies complex tasks, and enables sophisticated, trusted workflows through natural language.


Powering this shift is Cortex Code. By translating complex data engineering, analytics, machine learning, and agent-building tasks into simple, natural language workflows, Cortex Code helps teams deliver production-ready outcomes faster. It enables leading organizations like Braze, Decile, dentsu, FYUL, LendingTree, Shelter Mutual Insurance, TextNow, United Rentals, and WHOOP to accelerate time to value and confidently move even the most advanced use cases from idea to production with speed and accuracy.


Unlike generic coding assistants, Cortex Code understands users’ Snowflake data, compute, governance, and operational semantics – while remaining secure by design and strictly governed. Cortex Code is customizable and interoperable, designed to work wherever users operate across Snowflake experiences and local developer environments. It fits naturally into existing workflows and supports the entire development lifecycle, from design and implementation to optimization and operations. Teams can use Cortex Code within the Snowflake platform through Cortex Code in Snowsight (generally available soon) or within their preferred terminal or code editor like VS Code or Cursor with Cortex Code CLI (now generally available).


Accelerating AI Development Across the Data Lifecycle


To further reduce the friction that slows enterprise AI adoption and delivery, Snowflake is also advancing how users build, deploy, and manage AI-powered data workflows across the stack, from app development to collaboration:



Vibe coding for AI apps with v0 by Vercel: A new integration with v0 by Vercel (generally available soon) enables employees, from developers to analysts, to create rich, AI-powered data apps with natural language that can be deployed securely inside of Snowflake through Snowpark Container Services.



Agentic web search by Brave Search: A new integration with the Brave Search API (in public preview) brings real-time web knowledge into Snowflake Intelligence, Cortex Code, and Cortex Agents to bridge the gap between internal enterprise data and public world context. This integration enables agents to answer questions about current events, research market trends, and retrieve and source documentation with high accuracy and reduced hallucinations, all within Snowflake.



A secure, end-to-end workspace for building production-ready AI: Enhancements to Workspaces, including Shared Workspaces (now generally available), Snowflake Notebooks (now generally available), and OpenID Connect (OIDC)-based authentication (now generally available), provide a unified environment where teams can collaboratively build data pipelines, AI apps, and interactive experiences with enterprise-grade security built-in.



What Snowflake Customers Are Saying About Cortex Code:


“Our teams operate in an industry where the demand for high-quality, data-driven marketing solutions is accelerating rapidly. To keep pace, we need tools that let us scale efficiently while maintaining consistency and governance,” said Joe Tobey, Head of Data Products Engineering, dentsu. “Cortex Code CLI aligns naturally with how our teams work, enabling them to translate data and evolving requirements into AI-powered solutions on Snowflake faster, supporting our ability to meet growing market expectations without disrupting established workflows.”


“Cortex Code is fundamentally changing how our teams build on Snowflake,” said Miks Lusitis, Senior Director of Data, FYUL. “By bringing context-aware AI directly into our development workflows, Cortex Code has helped us move from experimentation to production faster without having to switch between tools or question if the agent understands our business context.”


“As we look at how agentic AI can accelerate our data and analytics roadmap, speed and iteration are critical,” said Srinivas Madabushi, Senior Vice President, Technology, LendingTree. “Cortex Code gives our teams a simple, in-platform way to move quickly from exploring ideas to delivering AI-driven workflows directly on Snowflake. It has the power to help us shape how we roll out AI-powered capabilities for more personalized consumer experiences and smarter financial decisioning.”


“What stands out about Cortex Code is how naturally it fits into the way our teams already work,” said Vibhor Gupta, Vice President of Enterprise Data & AI, Shelter Mutual Insurance. “It helps us reduce friction in everyday data and AI development while maintaining the controls and oversight we need in a regulated environment. With Cortex Code, our teams can build faster with the context they need to be successful.”


“Powering connectivity for millions of users requires a technology stack that can keep pace with the business and enables our teams to make smart, data-driven decisions at scale,” said Ganesan Saminathan, Head of Data Engineering, TextNow. "Cortex Code enables our teams to move faster from data to action by supporting AI-powered capabilities directly in our data workflows. That agility is key as we continue expanding access to free and flexible wireless services for millions.”


“Snowflake Intelligence is already helping our teams make faster, better decisions across the business, and Cortex Code is extending that intelligence into the AI experiences we build for our team,” said Tony Leopold, Chief Technology and Strategy Officer, United Rentals. “Cortex Code helps our engineers improve the performance of our business intelligence tools, meaningfully reducing the time it takes to improve quality and speed of Natural Language Query responses.”


“Cortex Code has quickly improved how we build and operate AI across Snowflake, from day-to-day development to the production-grade agents we deliver to our teams,” said Matt Luizzi, Senior Director of Business Analytics, WHOOP. “Using Cortex Code, we've been able to optimize our existing Cortex Agents and benchmark against different Evaluation Sets to improve performance and accuracy. It’s accelerated how we turn knowledge into usable AI experiences while maintaining the operational rigor we need.”


Learn More:



Learn more about how Snowflake is accelerating AI-powered development and further embedding AI into the modern developer workflow in this blog post.



Check out all the innovations and announcements coming out of BUILD London 2026 on Snowflake’s Newsroom.



Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeBUILD.



Forward Looking Statements


This press release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) Snowflake’s business strategy, plans, opportunities, or priorities (ii) the release, adoption, and use of Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) Snowflake’s vision, strategy, and expected benefits relating to artificial intelligence and other emerging product areas, including the expected benefits and network effects of the AI Data Cloud, and (v) the integration, interoperability, and availability of Snowflake’s products, services, and technology offerings with and on third-party platforms. Other than statements of historical fact, all statements contained in this press release are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and/or Snowflake management's good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.


© 2026 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, apps and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260203694963/en/
Media Contacts:

Caroline McInerney

Product PR Specialist, Snowflake

press@snowflake.com


Original: Snowflake Unveils Cortex Code, An AI Coding Agent That Drastically Increases Productivity by Understanding Your Enterprise Data Context

Snowflake Delivers Semantic View Autopilot as the Foundation for Trusted, Scalable Enterprise-Ready AIFebruary 3, 2026 3:10 AM
Business Wire

With Semantic View Autopilot, organizations including eSentire, HiBob, Simon AI, and VTS can ensure that AI agents operate on the same trusted business metrics, while cutting semantic model creation from days to minutes



Customers like World Kinect can leverage natural language prompts from Cortex Code within Snowflake Notebooks to automate the development and deployment of fully-functional ML pipelines, including real-time workflows



Enterprises like WHOOP use Cortex Agent Evaluations to confidently bring AI agents into production by making their behavior transparent and auditable



Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced new innovations to help enterprises deliver real business impact with AI, which requires more than high-quality models alone. Snowflake is unveiling Semantic View Autopilot (now generally available), an AI-powered service that automates the creation and governance of semantic views, giving AI agents a shared understanding of business metrics to deliver consistent, trustworthy outcomes. Snowflake is also introducing new capabilities across agent evaluations and observability, end-to-end machine learning (ML), and AI cost governance. These innovations build on Snowflake’s existing enterprise-grade foundations, ensuring that AI systems such as Snowflake Intelligence are trusted, governed, and ready to operate reliably at scale, all while working directly on organizations’ most valuable data.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260203233912/en/Accelerates time-to-insight across business intelligence tools and AI agents by automatically building, optimizing, and maintaining semantic views
“AI is quickly becoming part of the operating fabric of the enterprise, not a side project,” said Christian Kleinerman, EVP of Product, Snowflake. “Our focus is to make that future a reality now by ensuring AI agents operate on consistent business logic, behave as expected, and scale without surprises. By unifying trust, governance, and execution on one platform, we’re delivering AI that actually works in the environments our customers care about.”


Automating the Semantic Layer to Enable Accurate, Trustworthy AI


Enterprises are deploying AI agents into environments where business metrics are manually defined and inconsistently governed, leaving them without a shared understanding of business context. This fragmented approach to building the semantic layer is a bottleneck for AI adoption, producing unreliable outputs and weakening trust in AI.


Semantic View Autopilot addresses this challenge by automatically building, optimizing, and maintaining governed semantic views, potentially eliminating the need for manual, error-prone semantic modeling. This builds on Snowflake’s commitment to initiatives like the Open Semantic Interchange (OSI), which establishes an interoperable semantic layer across ecosystem leaders. While OSI provides the connectivity to share business logic across the ecosystem, Semantic View Autopilot adds the intelligence to create and continuously maintain it, making it the connective layer for trustworthy, scalable AI across all data, wherever it lives.


By learning from real user activity and using AI-powered generation, Semantic View Autopilot will help ensure business logic remains accurate and up-to-date across Snowflake data and consumption tools including dbt Labs, Google Cloud’s Looker, Sigma, and ThoughtSpot (generally available soon). Customers can create semantic views using business definitions not only from Snowflake, but also from the business intelligence tools they already rely on. As a result, enterprises can minimize AI hallucinations while cutting semantic model creation from days to minutes, accelerating time-to-market and delivering a decisive competitive advantage.


Leading organizations including eSentire, HiBob, Simon AI, and VTS are already using Semantic View Autopilot to dramatically reduce data-to-insight timelines and free data teams to focus on higher-value AI innovation.


"At Simon AI, our focus is helping businesses turn data into real, actionable outcomes. But inconsistencies between business logic have historically slowed how far AI can be applied," said Matt Walker, CTO at Simon AI. "Semantic View Autopilot provides our AI systems with a consistent, governed understanding of business metrics that we can collaborate upon with our customers. This allows us to deliver reliable personalization and AI-driven engagement that our customers can trust to drive measurable results."


Snowflake Accelerates ML Model Production with Agentic AI and Real-Time Deployment


To speed up the delivery of powerful ML models, Snowflake is unveiling significant advancements to Snowflake Notebooks (now generally available), a fully-managed Jupyter-powered notebook built for end-to-end data science and ML development on Snowflake data.


Snowflake Notebooks is integrated directly with Cortex Code in Snowsight (generally available soon), a data-native AI coding agent built to automate and accelerate end-to-end enterprise development. This allows users to build and deploy fully-functional ML pipelines using simple natural language prompts, reducing manual effort and speeding up workflows. Experiment Tracking (now generally available) makes it easy for teams to compare training runs, share results, and reproduce the best-performing models from within Snowflake Notebooks, turning experimentation into a repeatable, collaborative process.


When models are ready for production, Snowflake supports real-time use cases with Online Feature Store (now generally available) and Online Model Inference (now generally available), enabling features to be served in milliseconds and predictions delivered at scale. With training, serving, and monitoring all happening within the Snowflake platform, teams can operationalize ML while maintaining consistent governance from data to model to insight.


Enterprises like Aimpoint Digital are already leveraging Snowflake Notebooks to run ML projects on Snowflake, unlocking use cases like personalization, fraud detection, and predictive analytics.


Cortex Agent Evaluations Help Enterprises Deploy Trusted, Production-Grade AI Agents


When AI powers mission-critical enterprise decisions, trust and reliability are essential. Cortex Agent Evaluations (generally available soon) addresses this challenge, helping teams confidently bring AI agents into production by making their behavior traceable, measurable, and auditable.


Cortex Agent Evaluations give developers deep visibility into how agents reason, act, and respond, which enables them to systematically assess answer correctness, tool use, and logical consistency. With visibility into an agent's thought process, teams can easily identify errors, refine decision logic, and validate that agents are behaving as intended before they impact the business. It also promotes efficiency of the AI interactions by preventing operational waste such as redundant tool calls and spiraling compute costs. Enterprises like WHOOP are already leveraging Cortex Agent Evaluations in Snowflake to improve agent quality, without moving data or stitching together external monitoring tools.


As Snowflake continues to innovate across AI, it is also focused on making AI economically sustainable for enterprises through expanded cost governance capabilities in Cortex AI Functions (now generally available) that help organizations plan, control, and audit their AI usage with precision. Before AI workloads ever run, teams can proactively estimate consumption using the AI_COUNT_TOKENS function, making it easier to understand how prompt design and context size translate into real cost.


Learn More:



Read more about Snowflake’s latest AI and ML innovations in this blog post.



Read more about Semantic View Autopilot and Snowflake’s AI-powered business intelligence capabilities here.



Deep dive into what’s new with Snowflake ML specifically in this blog post.



Check out all the innovations and announcements coming out of BUILD London 2026 on Snowflake’s Newsroom.



Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeBUILD.



Forward Looking Statements


This press release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) Snowflake’s business strategy, plans, opportunities, or priorities (ii) the release, adoption, and use of Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) Snowflake’s vision, strategy, and expected benefits relating to artificial intelligence and other emerging product areas, including the expected benefits and network effects of the AI Data Cloud, and (v) the integration, interoperability, and availability of Snowflake’s products, services, and technology offerings with and on third-party platforms. Other than statements of historical fact, all statements contained in this press release are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and/or Snowflake management's good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.


© 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260203233912/en/
Media Contacts:

Lindsey Shepard

Product PR Specialist, Snowflake

press@snowflake.com


Original: Snowflake Delivers Semantic View Autopilot as the Foundation for Trusted, Scalable Enterprise-Ready AI

Snowflake shares edge higher on $200 million OpenAI collaborationFebruary 2, 2026 11:08 AM
IH Market News
Shares of Snowflake (NYSE:SNOW) rose about 2% on Monday after the AI Data Cloud group announced a $200 million, multi-year partnership with OpenAI aimed at bringing advanced AI model capabilities directly to enterprise customers.The agreement centers on co-innovation and joint go-to-market initiatives designed to accelerate the rollout of AI agents across global organizations. As part of the deal, OpenAI models—including GPT-5.2—will be natively accessible to Snowflake’s roughly 12,600 customers through Snowflake Cortex AI, spanning all three major cloud providers.With this move, OpenAI becomes one of the core model providers embedded in Snowflake’s platform, enabling customers such as Canva and WHOOP to use OpenAI’s leading models to build context-aware AI applications and agents throughout their operations.“By bringing OpenAI models to enterprise data, Snowflake enables organizations to build and deploy AI on top of their most valuable asset using the secure, governed platform they already trust,” said Sridhar Ramaswamy, CEO of Snowflake.Fidji Simo, CEO of Applications at OpenAI, added: “Snowflake is a trusted platform that sits at the center of how enterprises manage and activate their most critical data. This partnership brings our advanced models directly into that environment, making it easier to deploy AI agents and apps, so businesses can close the gap between what AI is capable of and the value they can create today.”The collaboration is expected to help enterprises develop custom, interoperable AI agents that can reason over governed datasets and take action across a range of tools and applications. Snowflake Intelligence, powered by OpenAI models, will allow employees to access reliable insights instantly using natural-language queries.Snowflake stock price

Original: Snowflake shares edge higher on $200 million OpenAI collaboration

Snowflake to Announce Financial Results for the Fourth Quarter and Full Year of Fiscal 2026 on February 25, 2026February 2, 2026 9:05 AM
Business Wire
Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it will release its financial results for the fourth quarter and full year of fiscal year 2026, which ended January 31, 2026, following the close of the U.S. markets on Wednesday, February 25, 2026. Snowflake will host a conference call to discuss the financial results.


Conference Call Details


The conference call will begin at 3 p.m. Mountain Time on February 25, 2026. Investors and participants may attend the call by dialing (833) 470-1428 (Access code: 084430). For investors and participants outside the United States, see global dial-in numbers here (Access code: 084430).


The call will also be webcast live on the Snowflake Investor Relations website.


An audio replay of the conference call and webcast will be available two hours after its completion and will be accessible for 30 days on the Snowflake Investor Relations website.


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260202670920/en/
Investor Contact

Katherine McCracken

Head of Investor Relations

IR@snowflake.com


Press Contact

Eszter Szikora

Head of Public Relations

Press@snowflake.com


Original: Snowflake to Announce Financial Results for the Fourth Quarter and Full Year of Fiscal 2026 on February 25, 2026

Snowflake to Present at Upcoming Investor ConferenceFebruary 2, 2026 9:10 AM
Business Wire
Snowflake (NYSE: SNOW), the AI Data Cloud company, will present at the following investor conference.



Chief Executive Officer, Sridhar Ramaswamy, and Chief Financial Officer, Brian Robins, will present at the Morgan Stanley Technology, Media & Telecom Conference, on Tuesday, March 3rd at 4:05PM PT.



An event webcast will be accessible on the investor relations section of the Snowflake website at https://investors.snowflake.com and archived on the Snowflake site for a period of 30 days.


About Snowflake


Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,600 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

View source version on businesswire.com: https://www.businesswire.com/news/home/20260202389022/en/
Investor Contact

Katherine McCracken

Head of Investor Relations

IR@snowflake.com


Original: Snowflake to Present at Upcoming Investor Conference

AI-related companies have seen their valuations skyrocket far beyond what their current earnings justify. $SNOW

$SNOW Total Debt (mrq) $2.69B with only a $7.00 Book value. Bubbles in Tech everywhere.

Snowflake and Palantir Announce Strategic Partnership for Enterprise-Ready AI & Analytics
PLTR should Break $200.00 soon......

Im hoping they beat expectations......

SNOW, reports Wednesday

Not looking great the last 3 days......

SNOW, near a 52 week high

SNOW near a 52 week high

SNOW is a component of the Dan Ives Revolution AI ETF (IVES)
Going sideways for quite awhile after 10Q

SNOW, new 52 week highs

SNOW, 10 day hourly

SNOW, new 52 high

SNOW, new 52 week high

Snowflake raises annual product revenue forecast
16:10:03 PM ET, 11/20/2024 - Reuters
Nov 20 (Reuters) - Snowflake raised its annual product revenue forecast on Wednesday, betting on robust demand for its data cloud and analytics platform as an easing economy allows clients to free up their budget for spending on technology.

The company now expects 2025 product revenue of $3.43 billion, compared with $3.36 billion it previously forecast.

Shares of the company jumped around 14% in extended trading.