Elastic NV (ESTC)

Elastic Reports Fourth Quarter and Fiscal 2026 Financial ResultsMay 28, 2026 4:05 PM
Business Wire Q4 Revenue of $451 million, up 16% year-over-year
FY26 Revenue of $1.739 billion, up 17% year-over-year Elastic (NYSE: ESTC), the Search AI Company, announced financial results for its fourth quarter and full fiscal year ended April 30, 2026. Fourth Quarter Fiscal 2026 Financial Highlights Total revenue was $451 million, an increase of 16% year-over-year, or 14% on a constant currency basis Total subscription revenue was $422 million, an increase of 17% year-over-year, or 15% on a constant currency basis Sales-led subscription revenue (calculated as subscription revenue excluding Monthly Elastic Cloud) was $375 million, an increase of 19% year-over-year, or 16% on a constant currency basis Current remaining performance obligations were $1.203 billion, an increase of 20% year-over-year, as reported and on a constant currency basis Remaining performance obligations were $1.982 billion, an increase of 28% year-over-year, or 27% on a constant currency basis GAAP operating loss was $16 million; GAAP operating margin was -4% Non-GAAP operating income was $67 million; non-GAAP operating margin was 14.8% GAAP diluted earnings per share was $4.14; non-GAAP diluted earnings per share was $0.61 Operating cash flow was $153 million with adjusted free cash flow of $150 million Cash, cash equivalents, and marketable securities were $1.370 billion as of April 30, 2026 Full Fiscal 2026 Financial Highlights Total revenue was $1.739 billion, an increase of 17% year-over-year, or 16% on a constant currency basis Total subscription revenue was $1.634 billion, an increase of 18% year-over-year, or 17% on a constant currency basis Sales-led subscription revenue (calculated as subscription revenue excluding Monthly Elastic Cloud) was $1.438 billion, an increase of 20% year-over-year, or 18% on a constant currency basis GAAP operating loss was $33 million; GAAP operating margin was -2% Non-GAAP operating income was $285 million; non-GAAP operating margin was 16.4% GAAP diluted earnings per share was $3.43(1); non-GAAP diluted earnings per share was $2.57 Operating cash flow was $327 million with adjusted free cash flow of $346 million Rule of 40 was 37%, calculated as the sum of fiscal 2026 year-over-year total revenue growth of 17% and fiscal 2026 adjusted free cash flow margin of 20% “Elastic delivered a strong finish to the year, beating our guidance across all key metrics,” said Ash Kulkarni, chief executive officer, Elastic. “Organizations are increasingly abandoning fragmented legacy applications to consolidate onto our high-performance platform for search, security, and observability. Customers are making larger commitments to Elastic over longer periods of time as we become a critical part of their AI infrastructure, accelerating our cRPO and RPO growth in Q4, setting us up for ongoing success.” Fourth Quarter Fiscal 2026 Key Metrics and Recent Business Highlights Key Customer Metrics Total customer count with Annual Contract Value (ACV) greater than $100,000 was over 1,720 compared to over 1,660 in Q3 FY26, and over 1,510 in Q4 FY25 Net Expansion Rate was approximately 112% Product Innovations and Updates Delivered native Prometheus and PromQL support to Elastic Observability, enabling Site Reliability Engineers to analyze Prometheus metrics alongside logs and traces in a single platform, without rewriting queries or rebuilding pipelines Launched MCP Apps in public preview, bringing first-of-their-kind agent-native UI experiences for security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration Introduced the Jina v5 Omni family, a new family of multimodal embedding models with the ability to represent text, images, video, and audio as vectors Selected by Google as a critical security partner for GDC air-gapped, delivering embedded security analytics, automation, and XDR capabilities for customers to secure sensitive data in highly restricted environments Introduced Elastic Workflows in general availability, a native automation capability with direct access to alerts, cases, and investigation data, now built directly into Elastic Security Added Jina Embeddings v3 in Gemini Enterprise Agent Platform Model Garden, enabling organizations to deploy high-performance retrieval models directly within their own cloud environments Other Business Highlights Achieved Federal Risk and Authorization Management Program (FedRAMP®) High authorization for Elastic Cloud Hosted on AWS GovCloud (US) Awarded the 2026 Google Cloud Partner of the Year Award for Marketplace Category for Data Management & AI Achieved EU-US Data Privacy Framework and ISO 27701 Engaged with thousands of customers and partners across Elastic{ON}s in Sydney, Singapore, São Paulo, Tokyo, at the Elastic Public Sector Summit in Washington D.C., and the Google Cloud Next industry conference Share Repurchase Program In October 2025, Elastic announced a share repurchase program pursuant to which the Company may repurchase up to $500 million of the Company’s outstanding ordinary shares. As part of this program, during the fourth quarter of fiscal 2026, Elastic repurchased approximately 0.7 million ordinary shares at an average price per share of $61.28 on the open market, representing an aggregate value of approximately $40 million. During fiscal 2026, Elastic repurchased approximately 4.4 million ordinary shares at an average price per share of $76.91 on the open market, representing an aggregate value of approximately $340 million. Financial Outlook The Company is providing the following guidance: For the first quarter of fiscal 2027 (ending July 31, 2026): Total revenue is expected to be between $469 million and $470 million, representing 13.1% year-over-year growth at the midpoint (12.8% year-over-year constant currency growth at the midpoint) Sales-led subscription revenue is expected to be between $392 million and $393 million, representing 15.9% year-over-year growth at the midpoint (15.6% year-over-year constant currency growth at the midpoint) Non-GAAP operating margin is expected to be approximately 14.0% Non-GAAP diluted earnings per share is expected to be between $0.57 and $0.59, assuming between 106.0 million and 107.0 million diluted weighted average ordinary shares outstanding For fiscal 2027 (ending April 30, 2027): Total revenue is expected to be between $1.985 billion and $2.000 billion, representing 14.6% year-over-year growth at the midpoint or 14.5% year-over-year constant currency growth at the midpoint Sales-led subscription revenue is expected to be between $1.673 billion and $1.688 billion, representing 16.9% year-over-year growth at the midpoint or 16.8% year-over-year constant currency growth at the midpoint Non-GAAP operating margin is expected to be approximately 19.0% Non-GAAP diluted earnings per share is expected to be between $3.21 and $3.29, assuming between 107.5 million and 108.5 million diluted weighted average ordinary shares outstanding Adjusted free cash flow margin is expected to be approximately 21.5%, excluding any acquisitions or other one-time charges The diluted weighted average ordinary shares outstanding reflect only share buybacks completed as of April 30, 2026. The guidance assumes, among others, the following exchange rates: 1 Euro = 1.163 US Dollars; and 1 Great British Pound = 1.344 US Dollars. See the section titled “Forward-Looking Statements” below for information on the risks and uncertainties that could cause our actual results to differ materially from those expressed or implied in our forward-looking statements. We present historical and forward-looking 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 entitled “Statement Regarding Use of Non-GAAP Financial Measures” below for an explanation of these non-GAAP measures. A reconciliation of forward-looking non-GAAP measures to the corresponding GAAP measures for sales-led subscription revenue, operating margin, and net earnings/(loss) per share is not available without unreasonable effort due to the uncertainty regarding, and the potential variability of, many of the costs and expenses that may be incurred in the future. These items necessary to reconcile such non-GAAP measures could be material and have a significant impact on the Company’s results computed in accordance with GAAP. Conference Call and Webcast As previously announced, Elastic’s executive management team will host a conference call today at 2:00 p.m. PT / 5:00 p.m. ET to discuss the Company’s financial results and business outlook. A live audio webcast of the conference call will be available through Elastic’s Investor Relations website at ir.elastic.co. A presentation containing financial and operating information will be available at the same website. The replay of the webcast will also be available on the investor relations website. (1) GAAP diluted earnings per share includes the impact of an income tax benefit of approximately $435 million related to the release of a valuation allowance against certain deferred tax assets. There was no impact to operating results, non-GAAP diluted earnings per share, adjusted free cash flow, or cash and cash equivalents. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions and outcomes. The Elasticsearch Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. Forward-Looking Statements This press release contains forward-looking statements that involve substantial risks and uncertainties, which include, but are not limited to, statements regarding our expected financial results for the fiscal quarter ending July 31, 2026 and fiscal year ending April 30, 2027, the expected performance or benefits of and demand for our offerings, our product strategy and innovation, and our views about competitive advantages, market position, the consolidation of organizations onto our platform, and the increasing importance of Elastic as a critical part of organizations’ AI infrastructure. Actual outcomes and results may differ materially from those contemplated by these forward-looking statements due to uncertainties, risks, and changes in circumstances, including but not limited to, those related to: our future financial performance, including our expectations regarding our revenue, cost of revenue, gross profit or gross margin, operating expenses (which include changes in sales and marketing, research and development and general and administrative expenses), and our ability to achieve and maintain future profitability; the success of our AI initiatives; competition we face in the AI landscape; market understanding and valuation of AI technologies; the use of AI by our workforce; the impact of the evolving macroeconomic and geopolitical environments on our business, operations, hiring and financial results, and on businesses and spending priorities of our customers and partners; the impact of our pricing model strategies on our business; the impact of foreign currency exchange rate fluctuations, the uncertain inflation and interest rate environment, and tariffs and other international trade policies on our results; our ability to continue to deliver and improve our offerings and develop new offerings; customer acceptance and purchase of our new and existing offerings; the expansion and adoption of our offerings; our ability to realize value from investments in the business; our ability to maintain and expand our user and customer base; our international expansion strategy; the impact of our licensing model on the use and adoption of our software; our operating results and cash flows; the sufficiency of our capital resources; our ability to successfully execute our go-to-market strategy; our forecasts regarding our business; risks affecting continuation of our share repurchase program; and general market, political, economic and business conditions. Any additional or unforeseen effects from the evolving macroeconomic and geopolitical environments may exacerbate these risks. Additional risks and uncertainties that could cause actual outcomes and results to differ materially from those expressed or implied in our forward-looking statements are included in our filings with the Securities and Exchange Commission (the “SEC”), including our Annual Report on Form 10-K for the fiscal year ended April 30, 2025 and subsequent quarterly and current reports filed with the SEC. SEC filings are available on the Investor Relations section of Elastic’s website at ir.elastic.co and the SEC’s website at www.sec.gov. Elastic assumes no obligation to, and does not currently intend to, update any such forward-looking statements, except as required by law. Statement Regarding Use of Non-GAAP Financial Measures In addition to our results determined in accordance with U.S. generally accepted accounting principles (“GAAP”), we believe the non-GAAP measures discussed below are useful in evaluating our operating performance. We use these non-GAAP financial measures to evaluate our ongoing operations and for internal planning and forecasting purposes. We believe that non-GAAP financial information, when taken collectively, may be helpful to investors because it provides consistency and comparability with past financial performance. However, non-GAAP financial information is presented for supplemental informational purposes only, has limitations as an analytical tool and should not be considered in isolation or as a substitute for financial information presented in accordance with GAAP. In addition, other companies, including companies in our industry, may calculate similarly-titled non-GAAP measures differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of our non-GAAP financial measures as tools for comparison. Investors are cautioned that there are a number of limitations associated with the use of non-GAAP financial measures and key metrics as analytical tools. Investors are encouraged to review the differences between GAAP financial measures and the corresponding non-GAAP financial measures, and not to rely on any single financial measure to evaluate our business and financial results. Reconciliations of historical GAAP financial measures to their respective historical non-GAAP financial measures are included below. In relation to constant currency non-GAAP financial measures, the only reconciling item between GAAP financial measures and non-GAAP financial measures is the effect of foreign currency rate fluctuations. Further details on how we calculate such effects can be found in the definition of “Constant Currency” below. Sales-led Subscription Revenue Sales-led subscription revenue is a non-GAAP financial measure that we calculate as total subscription revenue excluding Monthly Elastic Cloud. We believe sales-led subscription revenue provides management and our investors with a consistent metric with which to measure the health of our business. Non-GAAP Gross Profit and Non-GAAP Gross Margin We define non-GAAP gross profit and non-GAAP gross margin as GAAP gross profit and GAAP gross margin, respectively, excluding stock-based compensation expense and related employer taxes, and amortization of acquired intangible assets. We believe non-GAAP gross profit and non-GAAP gross margin provide our management and investors consistency and comparability with our past financial performance and facilitate period-to-period comparisons of operations, as these metrics generally eliminate the effects of certain variables from period to period for reasons unrelated to overall operating performance. Non-GAAP Operating Income and Non-GAAP Operating Margin We define non-GAAP operating income and non-GAAP operating margin as GAAP operating loss and GAAP operating margin, respectively, excluding stock-based compensation expense and related employer taxes, amortization of acquired intangible assets, acquisition-related expenses, and restructuring and other related charges. We believe non-GAAP operating income and non-GAAP operating margin provide our management and investors consistency and comparability with our past financial performance and facilitate period-to-period comparisons of operations, as these metrics generally eliminate the effects of certain variables from period to period for reasons unrelated to overall operating performance. Non-GAAP Net Income and Non-GAAP Earnings Per Share We define non-GAAP net income as GAAP income/(loss), excluding stock-based compensation expense and related employer taxes, amortization of acquired intangible assets, acquisition-related expenses, restructuring and other related charges, and the income tax benefit from the release of any valuation allowance against deferred tax assets. Additionally, non-GAAP net income and non-GAAP earnings per share are adjusted for an assumed provision for income taxes based on a projected non-GAAP annual effective tax rate of 13%. We define non-GAAP earnings per share, basic, as non-GAAP net income divided by weighted average shares outstanding and non-GAAP earnings per share, diluted, as non-GAAP net income divided by weighted average diluted shares outstanding, which includes the potentially dilutive effect of the company’s employee equity incentive plan awards. We believe non-GAAP earnings per share provides our management and investors consistency and comparability with our past financial performance and facilitates period-to-period comparisons of operations, as this metric generally eliminates the effects of certain variables from period to period for reasons unrelated to overall operating performance. Adjusted Free Cash Flow and Adjusted Free Cash Flow Margin Adjusted free cash flow is a non-GAAP financial measure that we define as net cash provided by operating activities adjusted for cash paid for interest on long-term debt less cash used for investing activities for purchases of property and equipment. Adjusted free cash flow margin is calculated as adjusted free cash flow divided by total revenue. Adjusted free cash flow does not represent residual cash flow available for discretionary expenditures since, among other things, we have mandatory debt service requirements. Constant Currency We compare the percent change in certain results from one period to another period using constant currency information to provide a framework for assessing how our business performed excluding the effect of foreign currency rate fluctuations. In presenting this information, current and comparative prior period results are converted into United States dollars at the exchange rates in effect on the last day of our prior fiscal year, rather than the actual exchange rates in effect during the respective periods. Contact Information Elastic Investor Relations
ir@elastic.co Elastic Corporate Communications
PR-Team@elastic.co Elastic N.V. Condensed Consolidated Statements of Operations (in thousands, except share and per share data) (unaudited)           Three Months Ended
April 30,   Year Ended
April 30,   2026   2025   2026   2025 Revenue               Subscription $ 422,446     $ 361,741     $ 1,634,455     $ 1,384,520   Services   28,235       26,691       104,876       98,776   Total revenue   450,681       388,432       1,739,331       1,483,296   Cost of revenue               Subscription   82,877       72,092       310,169       282,585   Services   28,183       25,693       106,103       97,288   Total cost of revenue   111,060       97,785       416,272       379,873   Gross profit   339,621       290,647       1,323,059       1,103,423   Operating expenses               Research and development   120,261       94,665       451,925       365,758   Sales and marketing   185,762       161,796       710,188       617,176   General and administrative   50,009       46,206       194,422       175,186   Restructuring and other related charges   —       —       —       225   Total operating expenses   356,032       302,667       1,356,535       1,158,345   Operating loss   (16,411 )     (12,020 )     (33,476 )     (54,922 ) Other income, net               Interest expense   (6,245 )     (5,844 )     (25,142 )     (25,307 ) Other income, net   12,891       13,162       56,317       48,660   Loss before income taxes   (9,765 )     (4,702 )     (2,301 )     (31,569 ) (Benefit from) provision for income taxes   (445,665 )     11,679       (370,067 )     76,545   Net income (loss) $ 435,900     $ (16,381 )   $ 367,766     $ (108,114 ) Net earnings (loss) per share attributable to ordinary shareholders               Basic $ 4.18     $ (0.16 )   $ 3.49     $ (1.04 ) Diluted $ 4.14     $ (0.16 )   $ 3.43     $ (1.04 ) Weighted-average shares used to compute net earnings (loss) per share attributable to ordinary shareholders               Basic   104,256,173       105,084,869       105,335,440       103,661,704   Diluted   105,312,192       105,084,869       107,220,768       103,661,704     Elastic N.V. Condensed Consolidated Balance Sheets (in thousands, except share and per share data) (unaudited)           As of April 30,     2026   2025 Assets       Current assets:       Cash and cash equivalents $ 768,725     $ 727,543   Restricted cash   1,773       3,671   Marketable securities   601,537       669,717   Accounts receivable, net of allowance for credit losses of $6,847 and $5,510 as of April 30, 2026 and 2025, respectively   464,413       375,613   Deferred contract acquisition costs   106,447       86,205   Prepaid expenses and other current assets   80,368       68,258   Total current assets   2,023,263       1,931,007   Property and equipment, net   8,591       6,589   Goodwill   356,442       319,417   Operating lease right-of-use assets   18,641       22,334   Intangible assets, net   13,059       11,404   Deferred contract acquisition costs, non-current   150,989       117,762   Deferred tax assets   567,278       168,045   Other assets   14,413       16,295   Total assets $ 3,152,676     $ 2,592,853   Liabilities and Shareholders’ Equity       Current liabilities:       Accounts payable $ 8,618     $ 17,150   Accrued expenses and other liabilities   96,713       86,347   Accrued compensation and benefits   119,231       93,714   Operating lease liabilities   6,539       8,928   Deferred revenue   973,820       802,117   Total current liabilities   1,204,921       1,008,256   Deferred revenue, non-current   52,502       50,340   Long-term debt, net   570,895       569,729   Operating lease liabilities, non-current   14,129       16,357   Other liabilities, non-current   33,729       20,937   Total liabilities   1,876,176       1,665,619   Shareholders’ equity:       Preference shares, €0.01 par value; 165,000,000 shares authorized; no shares issued or outstanding as of April 30, 2026 and 2025   —       —   Ordinary shares, €0.01 par value; 165,000,000 shares authorized; 108,360,340 shares issued and 104,751,470 shares outstanding as of April 30, 2026; 105,534,887 shares issued and outstanding as of April 30, 2025   1,154       1,112   Treasury stock, at cost; 3,608,870 shares held as of April 30, 2026; 35,937 shares held as of April 30, 2025   (275,695 )     (369 ) Additional paid-in capital   2,310,866       2,049,416   Accumulated other comprehensive loss   (27,870 )     (23,204 ) Accumulated deficit   (731,955 )     (1,099,721 ) Total shareholders’ equity   1,276,500       927,234   Total liabilities and shareholders’ equity $ 3,152,676     $ 2,592,853     Elastic N.V. Condensed Consolidated Statements of Cash Flows (in thousands) (unaudited)               Three Months Ended
April 30,   Year Ended
April 30,     2026   2025   2026   2025 Cash flows from operating activities               Net income (loss) $ 435,900     $ (16,381 )   $ 367,766     $ (108,114 ) Adjustments to reconcile net income (loss) to cash provided by operating activities:               Depreciation and amortization   3,217       2,291       11,834       12,315   Amortization of premium and accretion of discount on marketable securities, net   (390 )     (1,401 )     (3,428 )     (7,186 ) Amortization of deferred contract acquisition costs   29,779       25,201       111,112       96,688   Amortization of debt issuance costs   296       284       1,166       1,117   Non-cash operating lease cost   1,547       2,280       8,870       10,040   Stock-based compensation expense   77,466       65,540       298,435       257,782   Deferred income taxes   (459,689 )     1,256       (398,617 )     57,431   Unrealized foreign currency transaction (gain) loss   (51 )     909       790       2,211   Other   38       53       71       39   Changes in operating assets and liabilities, net of impact of business acquisitions:               Accounts receivable, net   (107,392 )     (100,440 )     (86,840 )     (48,903 ) Deferred contract acquisition costs   (66,542 )     (39,721 )     (163,717 )     (106,691 ) Prepaid expenses and other current assets   5,057       (12,414 )     (11,664 )     (25,320 ) Other assets   2,417       (8,075 )     4,975       (10,794 ) Accounts payable   (21,040 )     7,758       (8,968 )     (8,952 ) Accrued expenses and other liabilities   11,638       22,645       11,213       9,845   Accrued compensation and benefits   22,305       9,665       25,043       (546 ) Operating lease liabilities   (1,426 )     (2,417 )     (9,767 )     (11,906 ) Deferred revenue   219,580       129,946       168,620       147,112   Net cash provided by operating activities   152,710       86,979       326,894       266,168   Cash flows from investing activities               Purchases of property and equipment   (2,895 )     (2,117 )     (5,092 )     (4,345 ) Business acquisitions, net of cash acquired   —       —       (36,828 )     —   Purchases of marketable securities   (166,460 )     (160,803 )     (528,885 )     (549,574 ) Sales, maturities, and redemptions of marketable securities   73,685       192,263       597,397       435,251   Other   —       —       (521 )     —   Net cash (used in) provided by investing activities   (95,670 )     29,343       26,071       (118,668 ) Cash flows from financing activities               Proceeds from issuance of ordinary shares under employee stock purchase plan   13,514       12,629       25,015       23,093   Proceeds from issuance of ordinary shares upon exercise of stock options   1,322       9,841       2,804       17,854   Repurchases of ordinary shares   (40,013 )     —       (340,088 )     —   Net cash (used in) provided by financing activities   (25,177 )     22,470       (312,269 )     40,947   Effect of exchange rate changes on cash, cash equivalents, and restricted cash   (2,294 )     4,815       (1,412 )     (322 ) Net increase in cash, cash equivalents, and restricted cash   29,569       143,607       39,284       188,125   Cash, cash equivalents, and restricted cash, beginning of period   740,929       587,607       731,214       543,089   Cash, cash equivalents, and restricted cash, end of period $ 770,498     $ 731,214     $ 770,498     $ 731,214     Elastic N.V. Revenue by Type (in thousands, except percentages) (unaudited)               Three Months Ended April 30,   Year Ended April 30,     2026   2025   2026   2025     Amount   % of Total Revenue   Amount   % of Total Revenue   Amount   % of Total Revenue   Amount   % of Total Revenue Annual Elastic Cloud $ 169,596     38 %   $ 134,979     35 %   $ 640,937     37 %   $ 502,320     34 % Monthly Elastic Cloud   47,765     10 %     46,528     12 %     196,334     11 %     185,299     12 % Total Elastic Cloud   217,361     48 %     181,507     47 %     837,271     48 %     687,619     46 % Other subscription   205,085     46 %     180,234     46 %     797,184     46 %     696,901     47 % Total subscription   422,446     94 %     361,741     93 %     1,634,455     94 %     1,384,520     93 % Services   28,235     6 %     26,691     7 %     104,876     6 %     98,776     7 % Total revenue $ 450,681     100 %   $ 388,432     100 %   $ 1,739,331     100 %   $ 1,483,296     100 %         Elastic N.V. Reconciliation of GAAP to Non-GAAP Data Supplementary Information (in thousands, except percentages) (unaudited)               Three Months Ended
April 30, 2026 % Change Year Over Year % Change Year Over Year Excluding Currency Changes % Change Quarter Over Quarter % Change Quarter Over Quarter Excluding Currency Changes Revenue           Annual Elastic Cloud $ 169,596 26 % 25 % 1 % 1 % Monthly Elastic Cloud   47,765   3 % 3 % (4 )% (4 )% Total Elastic Cloud   217,361   20 % 19 % (1 )% (1 )% Other subscription   205,085   14 % 10 % (1 )% (1 )% Total subscription   422,446   17 % 15 % (1 )% (1 )% Total revenue $ 450,681   16 % 14 % — % — %             Total sales-led subscription revenue $ 374,681   19 % 16 % — % — %             Total deferred revenue $ 1,026,322   20 % 20 % 27 % 27 % Total remaining performance obligations $ 1,982,024   28 % 27 % 20 % 20 % Remaining performance obligations due within 12 months $ 1,202,761   20 % 20 % 14 % 14 %     Year Ended
April 30, 2026 % Change Year Over Year % Change Year Over Year Excluding Currency Changes   Revenue         Annual Elastic Cloud $ 640,937   28 % 27 %   Monthly Elastic Cloud   196,334   6 % 6 %   Total Elastic Cloud   837,271   22 % 21 %   Other subscription   797,184   14 % 12 %   Total subscription   1,634,455   18 % 17 %   Total revenue $ 1,739,331   17 % 16 %             Total sales-led subscription revenue $ 1,438,121   20 % 18 %     Elastic N.V. Reconciliation of GAAP to Non-GAAP Data Adjusted Free Cash Flow (in thousands, except percentages) (unaudited)               Three Months Ended
April 30,   Year Ended
April 30,     2026   2025   2026   2025 Net cash provided by operating activities $ 152,710     $ 86,979     $ 326,894     $ 266,168   Less: Purchases of property and equipment   (2,895 )     (2,117 )     (5,092 )     (4,345 ) Add: Interest paid on long-term debt   —       —       23,719       23,719   Adjusted free cash flow (1) $ 149,815     $ 84,862     $ 345,521     $ 285,542   Net cash (used in) provided by investing activities $ (95,670 )   $ 29,343     $ 26,071     $ (118,668 ) Net cash (used in) provided by financing activities $ (25,177 )   $ 22,470     $ (312,269 )   $ 40,947   Net cash provided by operating activities (as a percentage of total revenue)   34 %     22 %     19 %     18 % Less: Purchases of property and equipment (as a percentage of total revenue)   (1 )%     — %     — %     — % Add: Interest paid on long-term debt (as a percentage of total revenue)   — %     — %     1 %     1 % Adjusted free cash flow margin   33 %     22 %     20 %     19 % (1) Adjusted free cash flow includes cash paid for restructuring and other charges of $3.8 million during the year ended April 30, 2025. There were no cash payments for restructuring and other charges during the three months and year ended April 30, 2026, or during the three months ended April 30, 2025. Elastic N.V. Reconciliation of GAAP to Non-GAAP Data (in thousands, except percentages, share and per share data) (unaudited)               Three Months Ended
April 30,   Year Ended
April 30,     2026   2025   2026   2025 Gross Profit Reconciliation:               GAAP gross profit $ 339,621     $ 290,647     $ 1,323,059     $ 1,103,423   Stock-based compensation expense and related employer taxes   7,261       6,959       27,503       25,830   Amortization of acquired intangibles   2,463       1,526       8,795       9,213   Non-GAAP gross profit $ 349,345     $ 299,132     $ 1,359,357     $ 1,138,466   Gross Margin Reconciliation(1):               GAAP gross margin   75.4 %     74.8 %     76.1 %     74.4 % Stock-based compensation expense and related employer taxes   1.6 %     1.8 %     1.6 %     1.7 % Amortization of acquired intangibles   0.5 %     0.4 %     0.5 %     0.6 % Non-GAAP gross margin   77.5 %     77.0 %     78.2 %     76.8 % Operating (Loss) Income Reconciliation:               GAAP operating loss $ (16,411 )   $ (12,020 )   $ (33,476 )   $ (54,922 ) Stock-based compensation expense and related employer taxes   80,285       69,613       308,242       269,915   Amortization of acquired intangibles   2,463       1,526       8,795       9,213   Acquisition-related expenses   558       501       1,753       682   Restructuring and other related charges   —       —       —       225   Non-GAAP operating income $ 66,895     $ 59,620     $ 285,314     $ 225,113   Operating Margin Reconciliation(1):               GAAP operating margin   (3.6 )%     (3.1 )%     (1.9 )%     (3.7 )% Stock-based compensation expense and related employer taxes   17.8 %     17.9 %     17.7 %     18.2 % Amortization of acquired intangibles   0.5 %     0.4 %     0.5 %     0.6 % Acquisition-related expenses   0.1 %     0.1 %     0.1 %     — % Restructuring and other related charges   — %     — %     — %     — % Non-GAAP operating margin   14.8 %     15.3 %     16.4 %     15.2 % Net Income (Loss) Reconciliation:               GAAP net income (loss) $ 435,900     $ (16,381 )   $ 367,766     $ (108,114 ) Stock-based compensation expense and related employer taxes   80,285       69,613       308,242       269,915   Amortization of acquired intangibles   2,463       1,526       8,795       9,213   Acquisition-related expenses   558       501       1,753       682   Restructuring and other related charges   —       —       —       225   Income tax effects and adjustments(2)   (20,375 )     (4,627 )     23,640       45,916   Income tax benefit from the release of a valuation allowance against deferred tax assets(2)   (434,850 )     —       (434,850 )     —   Non-GAAP net income $ 63,981     $ 50,632     $ 275,346     $ 217,837   Non-GAAP earnings per share attributable to ordinary shareholders, basic(1) $ 0.61     $ 0.48     $ 2.61     $ 2.10   Non-GAAP earnings per share attributable to ordinary shareholders, diluted(1) $ 0.61     $ 0.47     $ 2.57     $ 2.04   Weighted-average shares used to compute non-GAAP earnings per share attributable to ordinary shareholders, basic   104,256,173       105,084,869       105,335,440       103,661,704   Weighted-average shares used to compute non-GAAP earnings per share attributable to ordinary shareholders, diluted   105,312,192       107,433,076       107,220,768       106,848,670   (1) Totals may not sum, due to rounding. Gross margin, operating margin, and earnings per share are calculated based upon the respective underlying, non-rounded data. (2) Effective May 1, 2025, we use a projected non-GAAP annual effective tax rate of 13% for the purpose of determining non-GAAP net income and non-GAAP earnings per share, basic and diluted, across the interim period. We believe this approach provides investors with a more consistent view of our underlying operating performance. Our annual projected non-GAAP tax rate excludes the impact from stock-based compensation expense and related employer taxes, amortization of acquired intangible assets, acquisition-related expenses, restructuring and other related charges, discrete tax items, valuation allowances against deferred tax assets, and other non-recurring tax adjustments, which may vary in size and frequency. Our annual projected non-GAAP tax rate may change due to factors such as new tax legislation, shifts in the geographic mix of earnings, or other significant business developments. We assess this rate as needed to ensure it reflects current conditions. Applying a consistent annual rate improves comparability across reporting periods by excluding the effects of discrete or non-recurring tax items. Elastic N.V. Reconciliation of GAAP to Non-GAAP Data (in thousands) (unaudited)               Three Months Ended
April 30,   Year Ended
April 30,     2026   2025   2026   2025 Cost of revenue reconciliation:               GAAP subscription $ 82,877     $ 72,092     $ 310,169     $ 282,585   Stock-based compensation expense and related employer taxes   (2,764 )     (2,683 )     (10,710 )     (10,161 ) Amortization of acquired intangibles   (2,463 )     (1,526 )     (8,795 )     (9,213 ) Non-GAAP subscription $ 77,650     $ 67,883     $ 290,664     $ 263,211   GAAP services $ 28,183     $ 25,693     $ 106,103     $ 97,288   Stock-based compensation expense and related employer taxes   (4,497 )     (4,276 )     (16,793 )     (15,669 ) Non-GAAP services $ 23,686     $ 21,417     $ 89,310     $ 81,619   Operating expenses reconciliation:               GAAP research and development expense $ 120,261     $ 94,665     $ 451,925     $ 365,758   Stock-based compensation expense and related employer taxes   (30,113 )     (25,781 )     (116,370 )     (102,180 ) Acquisition-related expenses   (230 )     —       (540 )     (76 ) Non-GAAP research and development expense $ 89,918     $ 68,884     $ 335,015     $ 263,502   GAAP sales and marketing expense $ 185,762     $ 161,796     $ 710,188     $ 617,176   Stock-based compensation expense and related employer taxes   (25,392 )     (24,144 )     (98,371 )     (90,973 ) Non-GAAP sales and marketing expenses $ 160,370     $ 137,652     $ 611,817     $ 526,203   GAAP general and administrative expense $ 50,009     $ 46,206     $ 194,422     $ 175,186   Stock-based compensation expense and related employer taxes   (17,519 )     (12,729 )     (65,998 )     (50,932 ) Acquisition-related expenses   (328 )     (501 )     (1,213 )     (606 ) Non-GAAP general and administrative expense $ 32,162     $ 32,976     $ 127,211     $ 123,648     View source version on businesswire.com: https://www.businesswire.com/news/home/20260527847546/en/ Elastic Investor Relations
ir@elastic.co Elastic Corporate Communications
PR-Team@elastic.co Original: Elastic Reports Fourth Quarter and Fiscal 2026 Financial Results

Elastic to Present at Upcoming Investor ConferencesMay 21, 2026 4:30 PM
Business Wire Elastic (NYSE: ESTC), the Search AI Company, announced that its management will present at the following conferences: BofA Securities Global Technology Conference 2026 on Thursday, June 4, 2026, at 9:20 a.m. PT / 12:20 p.m. ET Rosenblatt’s 6th Annual Technology Summit on Wednesday, June 10, 2026, at 11:00 a.m. PT / 2:00 p.m. ET The presentations will be webcast live, and a replay will be available for a limited time on the Events and Presentations section of Elastic’s investor relations website at ir.elastic.co. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on businesswire.com: https://www.businesswire.com/news/home/20260521283089/en/ Elastic Investor Relations
ir@elastic.co Elastic Corporate Communications
PR-team@elastic.co Original: Elastic to Present at Upcoming Investor Conferences

Elastic Adds Native Prometheus and PromQL Support to Elastic ObservabilityApril 23, 2026 8:26 AM
Business Wire
Unify Prometheus metrics with logs and traces, without rewriting queries or rebuilding pipelines


Elastic (NYSE: ESTC), the Search AI Company, today announced native Prometheus support, including direct ingestion via Remote Write and full PromQL support in Kibana. These additions enable Site Reliability Engineers (SREs) to analyze Prometheus metrics alongside logs and traces in a single platform, without rewriting queries or rebuilding pipelines.


As organizations scale Kubernetes, Prometheus telemetry cardinality and volumes surge, forcing SREs to juggle multiple tools, duplicate data pipelines, and rewrite queries across systems. This fragmentation slows incident response and drives up operational costs.


With native Prometheus support, Elastic eliminates these fragmentation trade-offs by allowing teams to ingest, store, and analyze native Prometheus data alongside other telemetry data, while preserving existing Prometheus workflows. Instead of stitching together tools, SREs can detect, investigate, and resolve incidents end-to-end across AI and cloud-native environments faster and with less operational overhead.


“Modern incident response is slowed down by tool sprawl and disconnected data, and SREs shouldn’t have to pivot between tools or rewrite queries just to understand what’s happening in production,” said Bahaaldine Azarmi, general manager, Observability at Elastic. “With native Prometheus ingestion and PromQL in Kibana, teams get a single platform that dramatically reduces time to root cause.”


Native Prometheus Ingestion—No Translation Required (tech preview)


Elastic now ingests Prometheus metrics directly via Remote Write, eliminating the need for adapters, schema, or format translations.


SREs can stream Prometheus metrics straight into Elasticsearch while maintaining their original structure and semantics. The result is a single source of truth for observability, without forcing teams to abandon Prometheus. This approach:



Removes duplicate storage and pipeline complexity



Preserves full metric fidelity and high-cardinality data



Enables unified analysis across metrics, logs, and traces



Run PromQL Directly in Kibana (tech preview)


With native PromQL support in Kibana, users can run existing PromQL queries in dashboards and alerts without modification, lowering the barrier to adoption for teams already using Prometheus.


This eliminates query rewrites, one of the biggest adoption barriers in observability platforms. SREs can keep the PromQL they’ve already built, including dashboards, alerts, and workflows, alongside logs and traces in the same environment, while gaining a path from alert to root cause without manual pivoting, enabling deeper, cross-signal analysis during incidents.


Availability


Native Prometheus ingestion and PromQL support in Kibana are available in technical preview.


Additional Materials


Read these blogs for more information.



Ship Prometheus Metrics to Elasticsearch with Remote Write



Your PromQL queries now run in Kibana!



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260423697661/en/
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Elastic PR

PR-team@elastic.co


Original: Elastic Adds Native Prometheus and PromQL Support to Elastic Observability

Elastic Wins 2026 Google Cloud Partner of the Year Award for Marketplace Category for Data Management & AIApril 21, 2026 3:05 PM
Business Wire
Elastic (NYSE: ESTC), the Search AI Company, announced it has received the 2026 Google Cloud Partner of the Year Award in the Marketplace category for Data Management & AI.


This marks the fifth year Elastic has been recognized by Google Cloud, reflecting continued collaboration to help joint customers deploy Generative AI solutions that deliver meaningful impact through faster development cycles, significant performance gains and lower operational costs.


“The Google Cloud Partner Awards honor the strategic innovation and measurable value our partners bring to customers,” said Kevin Ichhpurani, president, Global Partner Ecosystem and Channels, Google Cloud. “We are proud to name Elastic a 2026 Google Cloud Partner Award winner, celebrating their role in driving customer success over the last year.”


Elastic works closely with Google Cloud across Search, Observability, and Security, with integrations that allow customers to use Elastic as a data foundation for AI applications built on Vertex AI and Gemini. As the only partner natively integrated into Google Vertex AI, Elastic’s unified data platform serves as a grounding engine for Gemini, enabling more accurate, contextual responses using enterprise data.


The partnership is also helping to drive the next generation of Agentic AI by providing tools that accelerate the creation, deployment and management of AI-powered applications on Google Cloud.


For example, development teams can now easily build applications with Elastic’s new AI agent for Gemini Enterprise available on the Google Cloud Agent Marketplace, and seamlessly access Elasticsearch while coding through the extension for the Gemini CLI and the MCP Toolbox for Databases. Additionally, native support for Gemini reasoning and generation models on the Elastic Inference Service allows developers to build grounded, production-ready AI applications faster without the growing complexity and cost of managing infrastructure.


“This recognition reflects the strength of our partnership with Google Cloud to deliver the integration, performance and security customers need to succeed with AI,” said Alyssa Fitzpatrick, global vice president, Partner Sales at Elastic. “Together we are accelerating innovation by reshaping how enterprises build and deploy GenAI applications that drive measurable business impact.”


The partnership also features a tighter, two-way model collaboration that ensures native alignment with Google Cloud infrastructure for an improved developer experience. Elastic integrates Gemini and Vertex AI models in its inference API and vector search database, and has recently made its Jina models available on Google Cloud Model Garden on Vertex AI, bringing high-performance retrieval models closer to where enterprise AI applications already run.


Elastic continues to collaborate with Google Cloud on providing customers with an agent-ready AI platform that empowers them to unlock new levels of efficiency, productivity and innovation. To stay updated about the Elastic and Google Cloud partnership, read the Elastic blog.


About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260421780543/en/
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Elastic PR

PR-team@elastic.co


Original: Elastic Wins 2026 Google Cloud Partner of the Year Award for Marketplace Category for Data Management & AI

Elastic Delivers First Embedded AI Experiences for Observability and Security Inside Third-Party AI ToolsApril 21, 2026 3:10 PM
Business Wire
MCP Apps bring Elastic’s security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration


Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients. The new MCP Apps enable teams to investigate threats, diagnose system behavior, and act on data directly within the AI tools they already use, without switching tools or stitching together separate systems.


Built on the Model Context Protocol (MCP) apps spec, the open standard co-authored by Anthropic and OpenAI, these apps allow AI assistants to return fully interactive user interfaces rendered directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam.


Most AI integrations today stop at conversational text. That works for simple queries, but breaks down for workflows that are inherently visual and interactive, including alert triage, investigation graphs, dashboards, and distributed traces. Elastic’s MCP Apps close that gap by supporting security and observability workflows in a live AI-native interface that users can explore, filter, and act on, allowing teams to manage threat detection or system diagnosis without leaving the conversation.


“The MCP App for Elastic Security bridges the gap between automated detection and manual hunting,” said Mandy Andress, CISO of Elastic. “By bringing our security data directly into a single interface within Claude Desktop, we surfaced 'silent' threats in under an hour, risks that didn't trigger standard alerts but required immediate action. It's a force multiplier for our analysts."


“Our customers are increasingly working inside AI-native environments,” said Ken Exner, chief product officer at Elastic. “With our MCP Apps, Elastic meets them there by bringing security, observability, and search workflows into the AI tools that they are using so that teams can investigate threats and diagnose systems without switching tools. The answer is no longer a summary, it’s the workflow itself.”


While early MCP App adopters have focused on productivity tools like Amplitude, Asana, Figma, and Slack, the Elastic Security MCP App enables analysts to triage alerts, run ES|QL queries, investigate threats, and manage cases through interactive views rendered directly in the conversation. Workflows such as alert lists, process trees, and investigation graphs remain fully interactive, allowing analysts to move from question to action without tab switching or hand-offs.


The MCP App for Security provides core tasks for analysts, including:



Alert triage: severity grouping, AI verdicts, process trees, and one-click case creation



Attack discovery: correlated attack chains with MITRE ATT&CK mapping, risk scoring, and bulk case creation



Threat hunting: an ES|QL workbench with auto-executed queries, clickable entities, and an investigation graph



The Elastic Observability MCP App enables teams to explore distributed traces, inspect service dependencies, and diagnose system health through interactive views rendered directly in the conversation, helping engineers move from detection to root cause analysis without switching tools.


The MCP App for Observability provides, end-to-end Kubernetes & APM incident investigation, including:



Cluster & service health rollup: overall health badges, degraded services with reasons, top pod memory consumers, ML anomaly severity breakdown, and service throughput — all oriented in a single adaptive inline view



Anomaly detection & dependency mapping: ML-powered anomaly explanations with actual vs. typical values and time-series context, plus interactive service topology graphs with per-edge call volume and latency, and node failure blast radius diagrams showing full-outage versus degraded deployments with rescheduling feasibility



Live monitoring & alerting: ES|QL-backed observe mode for one-shot metric queries, live threshold watching, and ML anomaly triggers, alongside persistent Kibana alert rule creation and management directly from the conversation



Elastic also provides MCP Apps for search and data exploration. The Search MCP App enables users to explore data and build dashboards through natural language, with results rendered as interactive visualizations that can be edited and exported.


The MCP App for Search, includes:



Dashboard creation: build dashboards from natural language with panels automatically generated from your data



Data exploration: query and analyze data using ES|QL with results rendered inline



Interactive editing: refine, rearrange, and export dashboards directly from the conversation



Availability


Elastic MCP Apps for Security, Observability, and Search are available now in public preview, with support across platforms including Claude, Claude Desktop, VS Code, GitHub Copilot, Goose, Postman, and MCPJam.


To find out more read the blog: Elastic Security, Search, and Observability now run as an interactive UI in your AI tools


About Elastic


Elastic (NYSE: ESTC) enables organizations to search, analyze, and act on all types of data in real time. Its solutions for search, observability, and security are built on the Elastic Search AI Platform, helping teams solve problems faster and operate more efficiently at scale.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260421761409/en/
Elastic PR

PR-team@elastic.co


Original: Elastic Delivers First Embedded AI Experiences for Observability and Security Inside Third-Party AI Tools

Emerging AI-Driven Threats Prompt Renewed Focus on Enterprise CybersecurityApril 10, 2026 11:30 AM
PR Newswire (US)

Issued on behalf of Quantum Secure Encryption Corp.VANCOUVER, BC, April 10, 2026 /PRNewswire/ -- Equity-Insider.com News Commentary — Anthropic just proved that even the company building the most powerful offensive cyber tool ever created can't keep its own front door locked. A CMS misconfiguration exposed Claude Mythos, a frontier AI model that autonomously finds and exploits zero-day vulnerabilities across every major operating system and browser[1]. The Global X Cybersecurity ETF dropped 4.5% in a single session as Wall Street repriced the entire defensive stack overnight[2]. Anthropic responded with Project Glasswing: restricted Mythos Preview access for 40+ organizations to patch critical infrastructure before adversaries catch up. Five companies sit at pivotal points along that defensive rebuild: Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8), SentinelOne (NYSE: S), Elastic (NYSE: ESTC), Rapid7 (NASDAQ: RPD), and Broadcom (NASDAQ: AVGO).







A Trusted Computing Group survey found 91% of businesses still lack a formal roadmap for quantum-safe encryption migration, even as NIST deprecation timelines and NSA compliance deadlines narrow the window to months[3]. The 2026 Thales Data Threat Report sharpens the picture: only 47% of sensitive cloud data is encrypted today, down from 51% a year ago, while 61% of organizations rank harvest-now-decrypt-later attacks as their top quantum concern[4]. Institutional capital is flowing toward the convergence of cryptographic modernization and AI-native defense, where platforms already in production carry scalable, asymmetric upside.Quantum Secure Encryption (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8) just launched QPA v2, an enterprise platform that helps large organizations find the weak spots in their encryption and build a clear plan to upgrade before quantum computing turns those weak spots into open doors.The Vancouver-based company says QPA v2 moves the conversation from 'we know there's a problem' to 'here's how we fix it.' The platform includes a planning wizard for governance, budgets, and migration timelines, AI-powered modules that evaluate how ready an organization's cryptography actually is, and inventory tools that scan software, hardware, and encryption components to flag what needs replacing. An executive dashboard pulls it all together, giving leadership real-time visibility into risk levels and upgrade progress. QSE says the platform is already live and in use with both existing and prospective clients."Organizations are now moving from understanding quantum risk to actively planning for it," said Ted Carefoot, CEO of QSE. "QPA v2 is designed to support that transition by providing a structured, repeatable framework that enables enterprises and public-sector organizations to assess their current state, prioritize risk, and plan their migration toward post-quantum cryptographic standards."That shift into execution has been building since late 2025. QSE recently secured its first municipal government pilot for post-quantum cybersecurity through its membership in MISA (Municipal Information Systems Association), a national network connecting Canadian municipalities with new technology. The participating municipality is using QPA to identify which of its systems rely on encryption that future quantum computers could break, and to start planning upgrades now. QSE noted it is already in conversations with additional municipalities exploring similar assessments.Since November 2025, QSE has expanded from four to thirteen operational markets worldwide, with eleven value-added distributors now active and two more partnerships expected to close shortly. The company also joined CADSI (Canadian Association of Defence and Security Industries), opening pathways into Canadian defence and public-sector procurement.QPA v2 integrates with QSE's broader product suite, including its quantum-resilient key infrastructure, QAuth identity platform, and encrypted storage solutions. QSE is a Canadian post-quantum security company building tools to help organizations protect sensitive data from the next generation of cyberattacks that quantum computing is expected to enable, targeting commercial, enterprise, and government clients preparing for a fundamental shift in how encryption works.CONTINUED… Read this and more on QSE at: https://equity-insider.com/2025/03/18/is-scope-technologies-corp-cse-scpe-otcqb-scpcf-the-next-big-player-in-quantum-cybersecurity/Other industry developments and happenings in the market include:SentinelOne (NYSE: S) has expanded its strategic collaboration with Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) through a multi-year agreement to develop AI-powered cybersecurity solutions at global scale. The partnership integrates SentinelOne's autonomous endpoint detection and response platform with Alphabet's Google Cloud infrastructure, expanding availability across three strategic regions: North America, Frankfurt, and the Kingdom of Saudi Arabia."Customers are under growing pressure to defend increasingly complex environments and protect their highly sensitive data while reducing operational friction," said Melissa Smith, SVP of Global Strategic Partnerships & Initiatives at SentinelOne. "With Google Cloud, we have chosen a highly secure and sophisticated platform for a data sovereignty strategy, and a strategic partner for intelligence sharing."The collaboration targets enterprises operating in regulated markets, combining SentinelOne's AI-native Singularity Platform with Google Cloud's threat intelligence and generative AI capabilities to replace legacy antivirus and first-generation EDR tooling. SentinelOne currently protects nearly one-fifth of the Fortune 500 and positions the expanded partnership as a path toward autonomous security operations for the AI era.Elastic (NYSE: ESTC) has achieved FedRAMP High authorization for its Elastic Cloud Hosted platform on AWS GovCloud (US), unlocking access to the most sensitive, unclassified government workloads across law enforcement, emergency response, public health, and national security operations. The FedRAMP High baseline requires more than 400 security controls to protect controlled unclassified information, making it the program's most rigorous certification tier."FedRAMP High expands our ability to support agencies operating in highly sensitive environments and underscores Elastic's enduring commitment to help improve our national security posture while driving operational efficiencies," said Chris Townsend, global vice president of public sector at Elastic.The authorization builds on Elastic's growing federal footprint, including a collaboration with the Cybersecurity and Infrastructure Security Agency and ECS to support a unified SIEM-as-a-Service program for Federal Civilian Executive Branch Agencies, and a volume-based discount agreement with the General Services Administration to streamline procurement across federal agencies. Elastic's open, standards-based architecture supports Kubernetes, OpenTelemetry, and other cloud-native projects, helping agencies reduce vendor lock-in and meet federal data mandates while enabling GenAI use cases through retrieval augmented generation techniques.Rapid7 (NASDAQ: RPD) announced the acquisition of Kenzo Security, an agentic AI security platform built to scale autonomous security investigations, further enhancing the Rapid7 Command Platform. The deal advances Rapid7's managed detection and response capabilities from AI-assisted workflows to machine-speed security operations, with Kenzo customers reporting a 94% reduction in investigation time and alert coverage increasing from 12% to 100%."Reactive security models have reached their limits," said Corey Thomas, CEO of Rapid7. "Attackers are using AI to move faster, attack surface complexity is accelerating, and security teams are expected to improve outcomes without additional resources. Kenzo Security advances our mission to enable security operations that preempt attackers with predictive precision and machine-scale."By integrating Kenzo's entity-centric data mesh with the Rapid7 Command Platform, the combined offering will deliver full alert coverage at machine speed, 100% decision transparency, and continuous exposure management across endpoint, identity, cloud, and SaaS environments. Rapid7 does not anticipate a material impact to revenue, ARR, profitability, or free cash flows from the transaction, and the company serves more than 11,500 customers worldwide.Broadcom (NASDAQ: AVGO) announced the launch of Symantec CBX, a cloud-based extended detection and response platform that unifies Broadcom's Symantec and Carbon Black technologies into a single solution. The platform targets under-resourced security operations teams facing enterprise-grade threats without the staffing, budget, or infrastructure to deploy complex security tools."This announcement marks a major milestone as we unite the strengths of Symantec and Carbon Black into a single, robust solution," said Jason Rolleston, Vice President and General Manager, Enterprise Security Group, Broadcom. "CBX empowers organizations of all sizes with the advanced, yet intuitive capabilities to tackle modern threats with confidence and efficiency through industry-first technologies and intelligent automation."Symantec CBX combines Symantec's prevention, adaptive protection, data security, and incident prediction features with Carbon Black's endpoint detection and response technology, delivering correlated visibility across endpoints, networks, cloud, and identity attack surfaces. With 85% of incident flags now carrying AI-powered prediction recommendations, the platform is designed to accelerate investigations and reduce reliance on senior analyst expertise. Broadcom plans to make CBX available later this year through its Enterprise Security Group's Catalyst Partner Program, with migration pathways for existing customers.FURTHER READING: https://equity-insider.com/2025/03/18/is-scope-technologies-corp-cse-scpe-otcqb-scpcf-the-next-big-player-in-quantum-cybersecurity/CONTACT:
EQUITY INSIDER
info@equity-insider.

Elastic Eliminates the SOAR Automation Tax with Native WorkflowsMarch 23, 2026 12:05 PM
Business Wire
Elastic Workflows brings native automation directly into Elastic Security with no separate SOAR tool required


Elastic (NYSE: ESTC), the Search AI Company, announced that Elastic Workflows, a native automation capability with direct access to alerts, cases, and investigation data, is now built directly into Elastic Security. By bringing native automation to the agentic security operations platform that already includes unified SIEM and XDR, Elastic is eliminating the “SOAR automation tax” by removing the need for a separate SOAR to turn insights into action.


Traditionally, security teams have relied on a standalone SOAR to automate investigation and response. This adds complexity, requiring extra vendors, integrations, and ongoing maintenance. In a security landscape where adversaries are using AI to execute attacks in minutes, organizations can no longer rely on a response workflow stitched together across several vendors. Elastic Workflows embeds automation directly within Elastic Security, giving teams the ability to act on alerts and security data quickly, all without the need for additional tools or extra add-ons.


"Using Workflows enabled our SOC to spend so much more time on the things that matter. On a daily basis, we ran through 500 alerts, spending 3 hours creating cases and enriching them manually. Using Workflows, this is all done automatically, saving up to 2.5 hours a day." – SOC leader, European government agency.


“If you’re not using AI to fight AI, you’re already behind, and if you’re still relying on separate SOAR tools, you’re even further,” said Mike Nichols, general manager, Security at Elastic. “Elastic Workflows brings AI-driven automation directly to where data lives with no extra tools or integration overhead.”


Elastic Workflows allows analysts to execute scripted playbooks for consistent, repeatable responses alongside AI agents that reason through complex investigations. A single Workflow combines scripted automation with AI reasoning, helping teams respond effectively when an investigation doesn’t match a known pattern.


Built on the proven Elasticsearch Platform


Workflows gets its agentic capabilities through integration with Agent Builder, a native feature of Elasticsearch designed for building custom AI agents. Because Elastic Security is built on the Elasticsearch data and AI platform, agents reason with superior context, delivering more accurate results.


Availability


Elastic Workflows is available in tech preview, with general availability coming soon. Get started with an Elastic Cloud trial.


Additional Materials



Elastic blog: Native automation with Elastic Workflows - No SOAR required



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260323722876/en/
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Original: Elastic Eliminates the SOAR Automation Tax with Native Workflows

Elastic Eliminates Per-Endpoint Pricing for XDRMarch 23, 2026 12:09 PM
Business Wire
Elastic Security ends the “endpoint tax” to deliver world-class XDR protection without per-endpoint fees


Elastic (NYSE: ESTC), the Search AI Company, today announced it is eliminating per-endpoint pricing for Elastic Security XDR, the platform rated at 100% protection by AV-Comparatives in its 2025 Business Security evaluation. By ending the “endpoint tax”, the agentic security operations platform is enabling organizations to achieve world-class protection across their environments while also helping them achieve full endpoint coverage, all while reducing total cost of ownership by up to 70% compared to other platforms.


Per-endpoint pricing discourages teams from fully defending all systems by forcing them to decide which assets are worth protecting and which are not. In an era where AI enables attacks to move at machine speed, leaving parts of an environment unprotected is a risk organizations can no longer afford to take. By removing per-endpoint pricing entirely, Elastic Security enables full ecosystem protection and visibility across every asset without incremental costs.


“Organizations continue to face growing attack complexity, fragmented toolsets, and increasing operational overhead,” said Jan Brilke, CEO at AV-Comparatives. “At the same time, completeness and efficacy of cybersecurity offerings and their ease-of-use can influence how broadly protections are deployed, potentially creating visibility gaps. A high score in our Business Security Test and Endpoint Prevention and Response Reports indicates that it is possible to achieve high levels of efficacy while simplifying coverage and reducing these trade-offs.”


"How do I sleep at night?” said Jack Simpson, security operations lead at Thought Machine. “We ran an incident simulation to test the proactive capabilities of Elastic Defend—a critical component in securing our organization. We created reverse shells in various formats to see how Elastic would perform when our analysts weren't watching. It was fantastic at triggering, defending, and categorizing the attacks. I sleep well knowing Elastic Defend is protecting our organization.”


Elastic Security XDR is built into the Elastic Security open, agentic SOC platform, giving teams unified detection, investigation, and response across their full environment without per-device charges or a separate cost model to manage, and without manually stitching together data from multiple tools. Elastic is also expanding its focus beyond prevention and deep endpoint visibility into Digital Forensics and Incident Response (DFIR) to bring an end to these compromises and help teams move from detection to investigation faster while critical evidence is still available.


“Organizations shouldn’t have to decide which systems are worth protecting, and with AI drastically evolving the threat landscape, they can’t afford to,” said Mike Nichols, general manager of Security at Elastic. “Per-endpoint pricing turns coverage into a budget decision. We don’t believe in that at Elastic. We’ve built the highest-rated XDR in the industry and are making it available without that tax, so security teams don’t have to choose between full coverage of world-class protection and manageable costs.”


Availability


Elastic Security XDR is available now as part of Elastic Security. Sign up for a free trial here.


Additional Materials



Blog: The endpoint tax is over: Elastic Security XDR



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260323362105/en/
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Original: Elastic Eliminates Per-Endpoint Pricing for XDR

Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic SearchFebruary 23, 2026 12:00 PM
Business Wire
New Jina AI small language models deliver unmatched quality and efficiency on search and semantic tasks


Elastic (NYSE: ESTC), the Search AI Company, today announced the availability of jina-embeddings-v5-text, a family of two small, Elasticsearch-native multilingual embedding models at 0.2B and 0.6B parameters that deliver state-of-the-art performance across key search and semantic tasks.


Despite their compact size, they outperform significantly larger models with 7B to 14B parameters and achieve best-in-class results on the MMTEB (Multilingual MTEB) benchmark among models of comparable size and purpose. Their small footprint enables outstanding hybrid search at lower infrastructure cost, faster query response, and new deployment scenarios where memory and compute budgets are tight - including edge devices and resource-constrained environments.


jina-embeddings-v5-text are available through multiple channels: as open-weight models on HuggingFace for self-hosted deployment via vLLM, llama.cpp, or MLX, and on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup. By bringing the Jina v5 family to EIS, users get a complete data platform that consolidates state-of-the-art multilingual embedding models, a high-performance vector database, and more into one unified enterprise stack across cloud and on-premises.


“Vector search, RAG, and AI agents depend on high-quality retrieval,” said Steve Kearns, general manager, Search, Elastic. “With the addition of the Jina v5’s multilingual embeddings, Elasticsearch continues to be the platform of choice for end-to-end context engineering.”


The family includes two models, jina-embeddings-v5-text-small (239M parameters) and jina-embeddings-v5-text-nano (677M parameters). Both models are optimized for four common tasks in search and agentic applications:



Retrieval: Allowing users to query with natural language and find the most relevant documents



Text Matching: Allowing users to find duplicates in their data, and align paraphrases or translations



Classification: Allowing users to categorize documents, detect sentiments, and find anomalies



Clustering: Allowing users to group documents by topic, subject, or meaning



Availability


The Jina v5 models are now available through the Elastic Inference Service (EIS) on Elastic Cloud Serverless and Elastic Cloud Hosted. All Elastic Cloud Trials include access to EIS. To get started, visit the Elastic Inference Service (EIS) documentation.


These models are also available via an online API, and available for local hosting via vLLM, llama.cpp and MLX. Detailed instructions can be found on Hugging Face.


Additional Resources



Release Note: jina-embeddings-v5-text: New SOTA Small Multilingual Embeddings



Hugging Face weights



MMTEB Leaderboard



Technical Report on arXiv



Elasticsearch integration guide



Blog: jina-embeddings-v5-text: Compact state-of-the-art text embeddings for search and intelligent applications



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260223625535/en/Media Contact

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Original: Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search

Elastic to Present at Upcoming Investor ConferenceFebruary 17, 2026 4:30 PM
Business Wire
Elastic (NYSE: ESTC), the Search AI Company, announced that its management will present at the Morgan Stanley Technology, Media & Telecom Conference on Monday, March 2, 2026, at 1:50 p.m. PT / 4:50 p.m. ET.


The presentation will be webcast live, and a replay will be available for a limited time on the Events and Presentations section of Elastic’s investor relations website at ir.elastic.co.


About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260217680318/en/
Elastic Investor Relations

ir@elastic.co


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PR-team@elastic.co


Original: Elastic to Present at Upcoming Investor Conference

Elastic to Announce Third Quarter Fiscal 2026 Earnings Results on Thursday, February 26, 2026February 12, 2026 4:15 PM
Business Wire
Elastic (NYSE: ESTC), the Search AI Company, announced that it will release its financial results for its third quarter fiscal 2026 ended January 31, 2026, after the U.S. market close on Thursday, February 26, 2026. The company will host a conference call at 2:00 p.m. PT / 5:00 p.m. ET that day to review its financial results and business outlook.


A live webcast of the conference call will be accessible from the Elastic investor relations website at ir.elastic.co. A replay of the webcast will be available for two months.


About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260212385721/en/
Elastic Investor Relations

ir@elastic.co


Elastic Corporate Communications

PR-team@elastic.co


Original: Elastic to Announce Third Quarter Fiscal 2026 Earnings Results on Thursday, February 26, 2026

Elastic Delivers GPU Infrastructure to Self-Managed Elasticsearch Customers via Cloud ConnectFebruary 3, 2026 12:29 PM
Business Wire
Self-managed clusters can access GPU-powered inference without moving data or managing hardware


Elastic (NYSE: ESTC), the Search AI Company, announced the availability of Elastic Inference Service (EIS) via Cloud Connect for self-managed Elasticsearch deployments. Organizations can now gain on-demand access to cloud-hosted inference capabilities without managing GPU infrastructure, all while maintaining their core infrastructure and data on-premises. Users also gain immediate access to models by Jina.ai, an Elastic company and a leader in open-source multilingual and multimodal embeddings, rerankers, and small language models.


Modern semantic search relies on vector embeddings for high-quality results. Now available in Elasticsearch 9.3, EIS on Cloud Connect allows self-managed customers to seamlessly leverage GPU-based embedding and reranking models, including leading Jina models, without the operational overhead of managing infrastructure. This enables teams to implement powerful semantic search capabilities quickly and efficiently. Self-managed clusters can keep their existing architecture and data in place while securely offloading embedding generation and search inference to Elastic Cloud’s managed GPU fleet.


“With Elastic Inference Service via Cloud Connect, we’re making it easier for self-managed customers to adopt semantic search without taking on the complexity of GPU infrastructure,” said Steve Kearns, general manager, Search at Elastic. “With a single setup, self-managed customers can access a range of cloud services from automated diagnostics to fast AI inference, all while keeping their data on-premises.”


Availability


EIS via Cloud Connect is available immediately for Elastic Enterprise self-managed customers on Elastic Stack 9.3. To start a trial, create an Elastic Cloud account here.


Additional Resources



Blog: Skip MLOps: Managed cloud inference for self-managed Elasticsearch with EIS via Cloud Connect



Guide to Configuring Cloud Connect



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260202349548/en/
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Original: Elastic Delivers GPU Infrastructure to Self-Managed Elasticsearch Customers via Cloud Connect

Elastic Adds High-Precision Multilingual Reranking to Elastic Inference Service with Jina ModelsFebruary 3, 2026 11:58 AM
Business Wire
Two new Jina reranker models deliver low-latency, production-ready relevance for hybrid search and RAG workloads


Elastic (NYSE: ESTC), the Search AI Company, today made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup or hosting. These rerankers bring low-latency, high-precision multilingual reranking to the Elastic ecosystem.


As generative AI prototypes move into production-ready search and RAG systems, users run into relevance and inference latency limits, particularly for multilingual use cases. Rerankers improve search quality by reordering results based on semantic relevance, helping surface the most accurate matches for a query. They improve relevance across aggregated, multi-query results, without reindexing or pipeline changes. This makes them especially valuable for hybrid search, RAG, and context-engineering workflows where better context boosts downstream accuracy.


By delivering GPU-accelerated Jina rerankers as a managed service, Elastic enables teams to improve search and RAG accuracy without managing model infrastructure.


“Search relevance is foundational to AI-driven experiences,” said Steve Kearns, general manager, Search at Elastic. “By bringing these Jina reranker models to Elastic Inference Service, we are enabling teams to deliver fast and accurate multilingual search, RAG, and agentic AI experiences, available out of the box with minimal setup.”


The two new Jina reranker models are optimized for different production needs:


Jina Reranker v2 (jina-reranker-v2-base-multilingual)

Built for scalable, agentic workflows.



Low-latency inference at scale: Low-latency inference with strong multilingual performance that can outperform larger rerankers.



Support for agentic use cases: Ability to select relevant SQL tables and external functions that best match user queries, enabling more advanced agent-driven workflows.



Unbounded candidate support: Scores documents independently to handle arbitrarily large candidate sets. These scores remain consistent across batches, so developers can rerank results incrementally without relying on strict top-k limits.



Jina Reranker v3 (jina-reranker-v3)

Optimized for high-precision shortlist reranking.



Lightweight, production-friendly architecture: Optimized for low-latency inference and efficient deployment in production settings.



Strong multilingual performance: Benchmarks show that v3 delivers state-of-the-art multilingual performance, outperforming much larger alternatives, and maintains stable top-k rankings under permutation.



Cost-efficient, cross-document reranking: v3 reranks up to 64 documents together in a single inference call, reasoning across the full candidate set to improve ordering when results are similar or overlapping. By batching candidates instead of scoring them individually, v3 significantly reduces inference usage, making it a strong fit for RAG and agentic workflows with defined top-k results.



These models extend Elastic’s growing catalogue of ready-to-use models available on EIS, which includes the open source multilingual and multimodal embeddings, rerankers, and small language models built by Jina and acquired by Elastic last year. EIS has an expanding catalogue of ready-to-use models on managed GPUs, with additional models expected to be added over time.


Availability


All Elastic Cloud trials have access to the Elastic Inference Service. Try it now on Elastic Cloud Serverless and Elastic Cloud Hosted.


Additional Resources



Blog: Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS)



About Elastic


Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.


Elastic and associated marks are trademarks or registered trademarks of elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260202929140/en/
Media Contact

Elastic PR

PR-team@elastic.co


Original: Elastic Adds High-Precision Multilingual Reranking to Elastic Inference Service with Jina Models

Breakout coming in Q3 started this week with largest number of new $1mm customers signed .

ESTC, on an upswing

ESTC, trading sideways

ESTC, one month

ESTC! One month

ESTC one month

ESTC, 10 day hourly

Major new accumulator .. corporate??

ESTC new 52 week high