Financial Data and Key Metrics Changes - Fourth quarter ARR reached $1.853 billion, up 11% year-over-year, driven by $70 million of net new ARR and revenue of $481 million, up 14% year-over-year [7][28] - Full year GAAP profitability achieved for the first time in the company's history, with GAAP operating income of $57 million and fourth quarter GAAP net income of $104 million [32][33] - Non-GAAP operating income for the fourth quarter was $150 million, representing a 31% margin, and full year non-GAAP operating income was $370 million, a 23% margin [8][32] Business Line Data and Key Metrics Changes - AI product ARR, which includes Agentic, IDP, and Maestro, reached nearly $200 million this quarter, with strong growth fueled by Agentic [15] - The number of customers above $100K in ARR who have bought AI products grew 25% year-over-year, and they spend nearly three times as much as those who have not [15] - Customers with more than $1 million in ARR showed a 90% usage rate of AI products, indicating strong integration of AI into the customer base [29] Market Data and Key Metrics Changes - Over $1.2 billion in cloud ARR, which includes both hybrid and SaaS, up over 20% year-over-year [29] - Dollar-based gross retention was 97%, and dollar-based net retention rate remained at 107% [31] - Remaining performance obligations increased to $1.475 billion, up 19% [31] Company Strategy and Development Direction - The company is focused on accelerating growth across its customer base, expanding penetration inside its install base, and scaling AI adoption on top of deterministic automation [25] - A unified platform combining deterministic automation, agentic automation, and enterprise-grade orchestration is emphasized as a competitive advantage [9][10] - The company plans to leverage coding agents to accelerate automation development, aiming to reduce the time required to build production-grade automations [22][90] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the growing demand for automation and AI, noting that AI initiatives are driving renewed interest in automation [82] - The company anticipates crossing $2 billion in ARR in fiscal year 2027, reflecting confidence in its growth trajectory [23] - Management characterized the operating environment as variable, with pockets of strength in sectors like financial services and healthcare, while also acknowledging some uncertainties [67] Other Important Information - The company repurchased approximately $337 million worth of shares in the fiscal year, completing a $1 billion stock repurchase program [33][34] - The company expects to be meaningfully GAAP profitable in fiscal 2027 and is committed to expanding GAAP profitability over time [27][34] Q&A Session Summary Question: Net new ARR expansion potential and FX contribution assumptions - Management indicated that there is no significant FX contribution impacting net new ARR expansion, with a minimal impact from currency fluctuations [44][46] Question: AI product composition and momentum - Management noted strong momentum in AI products but did not provide specific ratios between different components, emphasizing their complementary nature [51][52] Question: Federal business outlook - Management expressed bullishness about the federal sector, noting strong traction and increased appetite for long-term projects, particularly in the Department of Defense [58][59] Question: Budget trends in automation and AI - Management highlighted a strong position in the market due to their process orchestration technologies and the integration of deterministic and agentic automation [62][64] Question: Impact of SaaS shift on growth - Management clarified that the SaaS shift is expected to create a 1% headwind to total revenue growth, but they do not anticipate any delayed impacts from agentic solutions [78]

Financial Data and Key Metrics Changes - Fourth quarter ARR reached $1.853 billion, up 11% year-over-year, driven by $70 million of net new ARR and revenue of $481 million, up 14% year-over-year [7][31] - Full year GAAP profitability achieved for the first time in company history, with fourth quarter non-GAAP operating income of $150 million, representing a 31% margin [8][35] - Full year total revenue was $1.611 billion, an increase of 13% year-over-year [31] Business Line Data and Key Metrics Changes - AI product ARR, which includes Agentic, IDP, and Maestro, reached nearly $200 million in the fourth quarter, with strong growth fueled by Agentic [16] - The number of customers above $100,000 in ARR who have bought AI products grew 25% year-over-year, spending nearly 3x as much as those who have not [16][32] - Customers with over $1 million in ARR saw 90% using AI products, indicating strong integration of AI into the customer base [32] Market Data and Key Metrics Changes - Over $1.2 billion in cloud ARR, which includes both hybrid and SaaS, up over 20% year-over-year [31] - Dollar-based gross retention was 97%, and dollar-based net retention rate remained at 107% [34] - Remaining performance obligations increased to $1.475 billion, up 19% [34] Company Strategy and Development Direction - The company is focused on accelerating growth across its customer base, expanding penetration inside its install base, and scaling AI adoption on top of deterministic automation [28] - The strategy includes deepening vertical solutions in regulated and mission-critical industries, particularly healthcare and financial services [21][74] - The company plans to leverage coding agents across the entire automation lifecycle to enhance efficiency and reduce the time required to build automations [24][25] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the growing demand for automation and AI, noting that AI initiatives are driving renewed interest in automation [84] - The company is bullish about its position in the public sector and sees strong traction in financial services and healthcare [68][70] - Management expects to cross $2 billion in ARR in fiscal year 2027, reflecting the durability of the business model [26] Other Important Information - The company repurchased approximately $337 million worth of shares in the fiscal year, completing a $1 billion stock repurchase program [36] - The board has authorized an additional $500 million in repurchase capacity, reflecting confidence in cash flows [37] Q&A Session Summary Question: Net new ARR expansion potential and FX contribution - Management indicated that there is no significant FX contribution affecting net new ARR expansion, with minimal impact from currency fluctuations [46][48] Question: AI traction and ARR composition - Management noted strong momentum in AI products, with IDP contributing significantly, but specific ratios between components were not disclosed [52][53] Question: Federal business outlook - Management expressed bullishness about the federal sector, noting strong connections and opportunities within certain agencies [60][68] Question: Budget trends in automation and AI - Management highlighted a strong position in the market, emphasizing the importance of process orchestration technologies and the integration of AI into workflows [63][64] Question: Impact of SaaS shift on growth - Management clarified that the SaaS shift is expected to create a 1% headwind to total revenue growth, but the overall adoption of agentic solutions is scaling well [80]

Financial Data and Key Metrics Changes - Fourth quarter ARR reached $1.853 billion, up 11% year-over-year, driven by $70 million of net new ARR and revenue of $481 million, up 14% year-over-year [5][26] - Full year GAAP profitability achieved for the first time in the company's history, with GAAP operating income of $57 million and fourth quarter GAAP net income of $104 million [30][31] - Non-GAAP operating income for Q4 was $150 million, representing a 31% margin, while full year non-GAAP operating income was $370 million, a 23% margin [6][30] Business Line Data and Key Metrics Changes - AI product ARR, including Agentic, IDP, and Maestro, reached nearly $200 million this quarter, with strong growth driven by Agentic [13] - The number of customers with more than $1 million in ARR increased to 357, while those with over $100,000 in ARR grew to approximately 2,565 [29] - Dollar-based gross retention was 97%, and dollar-based net retention rate remained at 107% [29] Market Data and Key Metrics Changes - Over $1.2 billion in cloud ARR, which includes both hybrid and SaaS, up over 20% year-over-year [27] - 90% of customers with more than $1 million in ARR are using AI products, indicating strong attachment and potential for expansion [27] - The company ended the quarter with approximately 10,750 customers, successfully signing new enterprise logos [28] Company Strategy and Development Direction - The company is focused on accelerating growth across its customer base, expanding penetration inside its install base, and scaling AI adoption on top of deterministic automation [24] - The strategy includes a unified platform combining deterministic automation, agentic automation, and enterprise-grade orchestration [8] - The company aims to leverage its vertical expertise in regulated industries, particularly healthcare and financial services, to drive growth [17] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the growing demand for automation and AI, highlighting that AI initiatives are driving renewed interest in automation [81] - The operating environment is characterized as variable, with pockets of strength in sectors like financial services and healthcare, while some areas remain uncertain [66] - The company expects to cross $2 billion in ARR in fiscal year 2027, reflecting confidence in its growth trajectory [21] Other Important Information - The company repurchased approximately 30.9 million shares for about $337 million during the fiscal year, completing a $1 billion stock repurchase program [31][32] - The company is committed to managing stock-based compensation, expecting dilution to be between 2%-3% year-over-year for fiscal year 2027 [35] Q&A Session Summary Question: What is the outlook for net new ARR expansion potential? - Management indicated that there is no significant FX contribution impacting net new ARR and expressed confidence in the stabilization of net new ARR [42][44] Question: Can you provide details on the composition of AI product ARR? - Management noted strong momentum in AI products but did not disclose specific ratios between different components, emphasizing their complementary nature [49][51] Question: How is the federal government business performing? - Management reported good traction in the federal sector, with a strong position in certain agencies and an increased appetite for long-term projects [56][58] Question: What is the current environment for automation and AI budgets? - Management believes they are well-positioned to capture market demand, leveraging their process orchestration technologies and the integration of AI into enterprise workflows [61][62] Question: How does the company view the impact of agentic automation on customer contracts? - Management indicated that AI initiatives are surfacing more opportunities for deterministic automation, enhancing the overall automation landscape for customers [81]

Summary of Elastic (NYSE:ESTC) 2026 Conference Call Company Overview - **Company**: Elastic (NYSE:ESTC) - **Event**: Morgan Stanley TMT Conference - **Date**: March 02, 2026 - **Speakers**: CEO Ash Kulkarni, CFO Navam Welihinda Key Points Industry Context - The current market is focused on the impact of AI on software companies, with investors assessing which companies will remain durable in the AI era [4][10] Core Value Proposition - Elastic positions itself as a data platform that provides context to large language models (LLMs), emphasizing the need to bring models to data rather than moving data to models [5][9] - The company highlights its ability to deliver specific data relevance and context for various AI use cases [9] Financial Performance - **Sales-led subscription revenue growth**: Accelerated to 19% from 17% in the previous quarter [10] - **Operating income**: Remains strong, with a record number of million-dollar deals reported [12] - **AI adoption**: Approximately 25% of the 100K customer cohort is now using Elastic for AI applications [14] Market Trends - There is a growing interest in self-managed environments, particularly in regulated industries where data sensitivity is paramount [14][16] - The demand for running technologies in sovereign environments is increasing in Europe [16] Competitive Advantage - Elastic's ability to offer a comprehensive platform that can be deployed both in cloud and self-managed environments is seen as a significant advantage over competitors [17] - The company emphasizes the importance of its data store and context accuracy as its defensible moat against competitors [34] AI Integration and Growth - Elastic is experiencing increased consumption from AI workloads, with a quantified difference of approximately 6% in consumption between AI users and non-users [51][53] - The company anticipates that AI will serve as a tailwind for growth, with midterm targets set to exceed 20% sales-led subscription revenue growth by fiscal 2029 [57][58] Observability and Security - The observability business is growing, particularly in metrics, which has historically been a weaker area for Elastic [75][80] - The company is developing specialized backend stores to improve performance in observability, expected to launch mid-year [80] Capital Allocation Strategy - Elastic maintains a disciplined approach to stock-based compensation while investing in sales and marketing capacity [92][93] - The company has allocated over 50% of its capital for share repurchases as part of its strategy to return value to shareholders [97] Future Outlook - Elastic expects steady growth rather than a sudden inflection, focusing on long-term market share and efficiency improvements [88][89] - The company is committed to evolving its platform to meet the changing demands of AI and data management [46][67] Additional Insights - Context engineering is defined as the processes and capabilities needed to provide LLMs with accurate context, which Elastic aims to excel in [67][68] - The shift from human to AI interfaces is anticipated to change how data platforms operate, with a focus on APIs over traditional UIs [46][68]

Financial Data and Key Metrics Changes - Total revenue for Q3 was $450 million, representing an 18% growth year-over-year and 16% on a constant currency basis [24][25] - Sales-led subscription revenue grew to $376 million, an increase of 21% as reported and 19% on a constant currency basis [25] - Current remaining performance obligations (CRPO) reached approximately $1.06 billion, growing 19% as reported and 15% on a constant currency basis [25][26] - Non-GAAP operating margin was 18.6%, with subscription gross margins at 82% and total gross margins at 78% [28][29] Business Line Data and Key Metrics Changes - Sales-led subscription revenue accelerated, with a notable increase in commitments from both self-managed and cloud offerings [25][27] - The number of customers with an annual contract value (ACV) over $100,000 grew to over 1,660, marking a 14% increase [26] - 28% of customers in the greater than $100K cohort are utilizing Elastic for AI, indicating strong demand for AI capabilities [27] Market Data and Key Metrics Changes - The company experienced strong deal momentum across all geographies, with multi-year commitments indicating customer confidence in the Elastic platform [26] - The demand for AI solutions is driving customer expansion, with significant growth in AI-related use cases [27][86] Company Strategy and Development Direction - The company is focused on becoming a critical data platform in the age of AI, leveraging its capabilities to support both cloud and self-managed environments [24][27] - The introduction of new features like Agent Builder and Elastic Workflows aims to enhance the platform's capabilities for context-driven AI applications [19][22] - The strategy emphasizes bridging the gap between LLMs and proprietary data, positioning Elastic as a leader in context engineering for AI applications [13][44] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the ongoing market demand and the company's ability to drive profitable growth, with expectations for continued strong performance in the upcoming quarters [29][34] - The company anticipates total revenue for fiscal 2026 to be in the range of $1.734 billion to $1.736 billion, representing approximately 17% growth at the midpoint [32] - Management highlighted the importance of AI adoption among customers, suggesting that as more customers reach the $100K ACV mark, growth could accelerate [40][75] Other Important Information - The company has made significant progress on its $500 million share repurchase program, returning approximately $186 million to shareholders during Q3 [30] - The introduction of the Elasticsearch GPU plugin aims to enhance AI application deployment speed and efficiency [18] Q&A Session Summary Question: Insights on AI customer growth and potential acceleration - Management noted that trends for generative AI customers remain strong, with potential for accelerated growth as more customers reach the $100K mark [39][40] Question: Importance of context in AI applications - The CEO emphasized the need for a comprehensive data platform that can handle various data types and provide accurate context for AI applications [42][43] Question: Performance of self-managed versus cloud customers - Management highlighted the strength in self-managed business, particularly as customers prefer to keep sensitive data within their control [48][49] Question: Future competition from frontier models - The CEO stated that AI models will not displace Elastic but rather depend on it for providing the necessary context for effective AI applications [56][57] Question: Impact of recent CISA win on government contracts - Management confirmed that the CISA win is expected to lead to additional agency engagements, enhancing the company's position in the government sector [68] Question: Concerns about CRPO growth rates - Management reassured that CRPO growth is strong, with expectations for continued improvement as AI adoption increases among customers [73][75]

Financial Data and Key Metrics Changes - Total revenue for Q3 was $450 million, representing an 18% growth year-over-year and 16% growth on a constant currency basis [24][25] - Sales-led subscription revenue grew to $376 million, an increase of 21% as reported and 19% on a constant currency basis [25] - Current remaining performance obligations (CRPO) reached approximately $1.06 billion, growing 19% as reported and 15% on a constant currency basis [25][26] - Non-GAAP operating margin was 18.6%, with subscription gross margins at 82% and total gross margins at 78% [28] Business Line Data and Key Metrics Changes - Sales-led subscription revenue growth was driven by both Self-Managed and cloud offerings, with strong consumption trends [25][27] - The number of customers with an annual contract value (ACV) over $100,000 increased to over 1,660, growing 14% [26] - 28% of the greater than $100,000 ACV cohort now utilizes Elastic for AI, indicating strong demand for AI capabilities [27] Market Data and Key Metrics Changes - The company saw balanced deal momentum across all geographies, with multi-year commitments indicating strong customer confidence in the Elastic platform [26] - The demand for Elastic's solutions is being driven by the need for organizations to manage increasing data volumes and leverage AI for innovation and efficiency [10][27] Company Strategy and Development Direction - The company is focused on becoming the essential infrastructure for AI-powered businesses, emphasizing the importance of context in AI applications [6][23] - Elastic aims to bridge the gap between LLMs and proprietary data, enhancing AI adoption among its customer base [13][15] - The introduction of new features like Agent Builder and Elastic Workflows aims to enhance the platform's capabilities for building intelligent applications [19][22] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the ongoing demand for Elastic's platform, particularly in the context of AI and data management [24][29] - The company anticipates continued growth in sales-led subscription revenue and adjusted free cash flow, with a focus on maintaining strong customer commitments [34][35] - The outlook for Q4 includes expected total revenue in the range of $445 million to $447 million, representing 15% growth at the midpoint [31][32] Other Important Information - The company has made significant progress on its $500 million share repurchase program, returning approximately $186 million to shareholders in Q3 [30] - The partnership with NVIDIA aims to enhance AI application deployment without straining IT infrastructure [18] Q&A Session Summary Question: Potential for growth acceleration among AI-native customers - Management noted that as more customers reach the $100,000 mark, there is potential for accelerated growth beyond the current 5% average [38][40] Question: Importance of context in AI applications - Management emphasized the need for a comprehensive data platform that can handle various data types and provide accurate context for AI applications [42][43] Question: Performance of Self-Managed versus cloud customers - Management highlighted the strength in Self-Managed business, particularly as customers prefer to keep sensitive data within their control [48][49] Question: Impact of AI on internal operations - Management shared that AI has significantly improved efficiency and reduced headcount needs in support operations [60][62] Question: Traction from recent CISA win - Management confirmed that the CISA win has led to additional agencies coming on board, indicating strong future growth potential [68][69]

Financial Data and Key Metrics Changes - Total revenue for Q3 was $450 million, representing an 18% growth year-over-year and a 16% growth on a constant currency basis [23][24] - Sales-led subscription revenue reached $376 million, growing 21% as reported and 19% on a constant currency basis [24] - Current remaining performance obligations (CRPO) crossed the $1 billion mark for the first time, reaching approximately $1.06 billion, growing 19% as reported and 15% on a constant currency basis [24][25] - Non-GAAP operating margin was 18.6%, with subscription gross margins at 82% and total gross margins at 78% [27][28] Business Line Data and Key Metrics Changes - Sales-led subscription revenue growth was driven by both self-managed and cloud offerings, with strong consumption trends [24][26] - The number of customers with an annual contract value (ACV) of over $100,000 grew to over 1,660, marking a 14% increase [25] - 28% of customers in the greater than $100,000 ACV cohort are utilizing Elastic for AI, indicating significant adoption of AI capabilities [26] Market Data and Key Metrics Changes - The company experienced strong deal momentum across all geographies, with multi-year commitments indicating the platform's strategic value [25] - The demand for Elastic's solutions is being driven by the need for organizations to manage increasing data volumes and leverage AI for innovation and efficiency [9][21] Company Strategy and Development Direction - The company is focused on becoming the essential infrastructure for AI-powered businesses, emphasizing the importance of context in AI applications [5][21] - Elastic aims to bridge the gap between proprietary data and AI models, enhancing the adoption of AI across its customer base [12][13] - The introduction of new features like Agent Builder and Elastic Workflows aims to enhance the platform's capabilities for building intelligent applications [18][20] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the ongoing demand for Elastic's solutions, particularly in the context of AI and data management [23][34] - The company anticipates continued growth in sales-led subscription revenue and adjusted free cash flow, supported by strong customer commitments [33][34] - The outlook for Q4 includes expected total revenue in the range of $445 million to $447 million, representing 15% growth at the midpoint [30][31] Other Important Information - The company has made significant progress on its $500 million share repurchase program, returning approximately $186 million to shareholders in Q3 [29] - The partnership with NVIDIA aims to enhance AI application deployment without straining IT infrastructure [17] Q&A Session Summary Question: Potential for growth acceleration as AI penetration increases - Management noted that as more customers reach the $100,000 ACV mark, there is potential for accelerated growth beyond the current 5% average [36][38] Question: Core components for securing status as a leading provider of context for AI applications - The company emphasized the need for a comprehensive data platform that can handle both structured and unstructured data, along with capabilities for hybrid search and context engineering [40][41] Question: Insights on cloud revenue growth and sequential performance - Management highlighted that the sales-led subscription revenue growth remains the key metric, with strong performance in both self-managed and cloud segments [78] Question: Broader AI use cases and their impact on customer spending - The company is witnessing a diversification of AI use cases beyond vector databases, including security and observability workflows, which is expected to drive increased usage and spending [82]

Core Viewpoint - Elastic is set to announce its third quarter fiscal 2026 earnings results on February 26, 2026, after the U.S. market closes, followed by a conference call to discuss the financial results and business outlook [1]. Group 1: Earnings Announcement - The financial results for the third quarter fiscal 2026, which ended on January 31, 2026, will be released after market close on February 26, 2026 [1]. - A conference call will be held at 2:00 p.m. PT / 5:00 p.m. ET on the same day to review the financial results and business outlook [1]. Group 2: Company Overview - Elastic, known as the Search AI Company, integrates search technology with artificial intelligence to transform data into actionable insights [1]. - The Elastic Search AI Platform supports various solutions, including search, observability, and security, and is utilized by over 50% of Fortune 500 companies [1].

Core Insights - Elastic N.V. (NYSE:ESTC) is recognized as a high-growth cybersecurity stock, particularly in the AI-driven market, with recent developments enhancing its service offerings [1][2]. Group 1: Product Developments - The company announced the Elastic Inference Service, allowing organizations to access cloud-hosted GPU inference capabilities without needing GPU hardware, thus simplifying the adoption of semantic search for self-managed customers [1][3]. - Elastic launched Agent Builder, a platform enabling developers to create AI agents for accessing and analyzing enterprise data, which integrates with Microsoft Foundry and Agent Framework [4]. - Elastic Workflows enhances the functionality of AI agents by allowing them to execute actions across multiple systems, combining AI reasoning with rule-based automation to improve enterprise data use and security [5]. Group 2: Market Position and Performance - Elastic N.V. serves over 50% of the Fortune 500, providing a platform for real-time data ingestion, searching, analyzing, and visualizing, positioning itself as a leader in the search AI sector [6]. - Despite a recent price target cut from $130 to $110 by Rosenblatt Securities due to macroeconomic concerns, the firm maintains a Buy rating and anticipates better-than-expected results for the third quarter of fiscal 2026 [3].

Core Viewpoint - Elastic N.V. (NYSE:ESTC) is gaining attention on Wall Street as an AI stock, with a recent price target adjustment by Rosenblatt analyst Blair Abernethy from $130.00 to $110.00 while maintaining a "Buy" rating, indicating confidence in the company's potential despite macro pressures [1]. Group 1: Financial Performance and Forecast - Elastic is expected to report Q3/FY 26 results in late February, with projections indicating an in-line to marginal beat [2]. - The firm forecasts Elastic Cloud growth of 21% for the upcoming quarter, slightly down from 22% in the previous quarter, while leaving estimates unchanged [4]. Group 2: Product Developments and Market Position - Recent advancements include the general availability release of the Agent Builder and a realignment of sales focused on high-value customers, positioning the company favorably in the market [2][3]. - The company is well-positioned to benefit from trends in tool consolidation, log management, legacy SIEM modernization, and the development of new AI applications utilizing the Elastic Search Relevance Engine with vector database capabilities [3].