Key Points Elastic beat Q2 earnings expectations with $0.64 per share versus the expected $0.58, yet the stock fell 16.2%. The recent 43-day government shutdown delayed several expected contracts. At 4.8 times trailing sales, Elastic trades at a low valuation for an AI specialist with 16% revenue growth. 10 stocks we like better than Elastic › Elastic (NYSE: ESTC) stock lost its bounce on Friday, following the company's second-quarter earnings report. The enterprise search and data security expert ...

Financial Data and Key Metrics Changes - The company reported total revenue of $423 million for Q2, representing a growth of 16% year-over-year and 15% on a constant currency basis [24] - Sales-led subscription revenue was $349 million, growing 18% as reported and 17% on a constant currency basis [24] - The current remaining performance obligation (CRPO) was approximately $971 million, growing 17% as reported and 15% in constant currency [25] - Subscription gross margins were 82%, total gross margins were 78%, and operating margin was 16.5% [28] - Adjusted free cash flow was approximately $26 million, representing a margin of 6% [29] Business Line Data and Key Metrics Changes - The company saw strong execution in sales-led subscription revenue, with a notable increase in large commitments, including over 30 commitments greater than $1 million in annual contract value [24][26] - The number of customers spending over $100,000 annually grew to more than 1,600, with 23% of this cohort utilizing Elastic for GenAI use cases, up from 17% a year ago [27][33] Market Data and Key Metrics Changes - The company experienced broad-based demand across all geographies, supported by healthy consumption trends [23] - Despite a government shutdown impacting some renewals, the company closed significant deals, including a $26 million commitment with CISA [26][29] Company Strategy and Development Direction - The company is focused on leveraging its AI capabilities across all business areas, with a strong emphasis on security and observability [6][10] - The introduction of new products like Agent Builder aims to enhance the company's offerings in AI and context engineering [15][19] - The company is committed to innovation and strategic acquisitions, such as the acquisition of Jina AI, to strengthen its position in the AI and search markets [18][19] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's growth trajectory, citing strong consumption and commitment trends [23][38] - The company raised its full fiscal year 2026 revenue guidance, expecting total revenue in the range of $1.715 billion to $1.721 billion, representing approximately 16% growth at the midpoint [32] - Management highlighted the importance of both cloud and self-managed environments in driving sales-led subscription revenue [30][31] Other Important Information - The company plans to return approximately $500 million to shareholders through a share repurchase program, having already returned $114 million in Q2 [29] - The company will participate in upcoming conferences, including the Barclays Global Technology Conference and the Needham Growth Conference [5] Q&A Session Summary Question: Performance of non-AI-native customers - Management noted strong consumption trends across all customer segments, including traditional businesses, driven by increased commitments and consolidation onto the platform [36][38] Question: Billings lagging behind other metrics - Management explained that seasonality and a government shutdown impacted billings, but overall commitments and consumption remained strong [40][42] Question: Composition of sales-led subscription revenue guidance - Management clarified that the guidance reflects commitments from both cloud and self-managed environments, with expectations for flat growth in the self-serve segment [49][50] Question: Growth opportunities outside of RAG - Management emphasized that relevance and context engineering are core strengths, and new products like Agent Builder will help monetize these capabilities [66] Question: Competitive landscape in security - Management indicated that the company is successfully displacing incumbents in the security space, leveraging its data platform and AI capabilities [85][90]

Financial Data and Key Metrics Changes - The company reported total revenue of $423 million for Q2, representing a growth of 16% year-over-year and 15% on a constant currency basis [24] - Sales-led subscription revenue was $349 million, growing 18% as reported and 17% on a constant currency basis [24] - The current remaining performance obligation (CRPO) was approximately $971 million, growing 17% as reported and 15% in constant currency [25] - Subscription gross margins were 82%, total gross margins were 78%, and operating margin was 16.5% [28] - Adjusted free cash flow was approximately $26 million, representing a margin of 6% [29] Business Line Data and Key Metrics Changes - The company saw strong execution in sales-led subscription revenue, with a notable increase in large commitments, including over 30 commitments greater than $1 million in annual contract value [24][26] - The number of customers spending over $100,000 annually grew to more than 1,600, with 23% of this cohort utilizing Elastic for GenAI use cases, up from 17% a year ago [27][33] Market Data and Key Metrics Changes - The company experienced broad-based demand across all geographies, supported by healthy consumption trends [23] - Despite a government shutdown impacting some renewals, the company closed significant deals, including a $26 million commitment with CISA [26][29] Company Strategy and Development Direction - The company is focusing on AI and platform consolidation as top priorities for enterprises, which is driving sustained momentum in demand [23] - The introduction of new products like Agent Builder aims to enhance the company's capabilities in AI and context engineering, further differentiating its offerings [15][19] - The acquisition of Jina AI is expected to accelerate the company's strategy in AI and vector search [18][19] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the business's momentum, citing strong consumption and commitments as key drivers for future growth [38][41] - The company raised its full fiscal year 2026 revenue guidance, expecting total revenue in the range of $1.715 billion to $1.721 billion, representing approximately 16% growth at the midpoint [32] Other Important Information - The company initiated a $500 million share repurchase program, returning approximately $114 million in cash to shareholders during Q2 [29] - The company plans to participate in upcoming conferences, including the Barclays Global Technology Conference and the Needham Growth Conference [5] Q&A Session Summary Question: Performance of non-AI-native customers - Management noted strong consumption trends across all customer segments, including traditional businesses, driven by increased commitments and consolidation onto the platform [36] Question: Billings lagging behind other metrics - Management explained that seasonality and a government shutdown impacted renewals, but overall commitments and consumption remained strong [40][42] Question: Composition of sales-led subscription revenue guidance - Management clarified that the guidance focuses on commitments from both cloud and self-managed environments, with expectations for flat growth in the self-serve segment [49] Question: Growth in GenAI revenue contributions - Management emphasized that consumption growth is driven by various factors, including new workloads and platform efficiency, rather than pricing alone [53][56] Question: Competitive landscape in security - Management highlighted that the company is successfully displacing incumbents in the security space, leveraging its data platform and AI capabilities [85][90]

Financial Data and Key Metrics Changes - Total revenue for Q2 was $423 million, representing a growth of 16% year-over-year and 15% on a constant currency basis [21] - Sales-led subscription revenue was $349 million, growing 18% as reported and 17% in constant currency [21] - Current remaining performance obligation (CRPO) was approximately $971 million, growing 17% as reported and 15% in constant currency [22] - Subscription gross margins were 82%, total gross margins were 78%, and operating margin was 16.5% [24] - Adjusted free cash flow was approximately $26 million in Q2, representing a margin of 6% [25] Business Line Data and Key Metrics Changes - Strong execution in sales-led subscription revenue growth of 18%, with significant contributions from both Elastic Cloud and self-managed offerings [5][21] - Over 30 commitments greater than $1 million in annual contract value were secured, with five exceeding $10 million [23] - The number of customers spending over $100,000 annually increased to more than 1,600 [5] Market Data and Key Metrics Changes - The company saw a 13% increase in the number of customers with annual contract values over $100,000, indicating strong market demand [23] - 23% of customers in the greater than $100,000 cohort are utilizing Elastic for GenAI use cases, up from 17% a year ago [24] Company Strategy and Development Direction - The company is focusing on AI and platform consolidation as top priorities for enterprises, driving demand for its solutions [20] - The introduction of new products like Agent Builder aims to enhance user interaction with data and simplify the operational lifecycle of AI agents [13] - The acquisition of Jina AI is part of the strategy to enhance capabilities in multilingual and multimodal embedding and re-ranking models [16][17] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the market opportunity, driven by robust growth and a unique platform built for the AI era [19] - The company raised its full fiscal year 2026 revenue guidance, expecting total revenue in the range of $1.715 billion to $1.721 billion, representing approximately 16% growth [28] - Management noted that the business is seeing strong commitments and consumption, with a healthy sales pipeline [20][29] Other Important Information - The company initiated a $500 million share repurchase program, returning approximately $114 million in cash to shareholders during Q2 [25] - The company will begin providing guidance for sales-led subscription revenue, a key metric for measuring success with larger strategic accounts [26] Q&A Session Summary Question: Performance of non-AI-native customers - Management noted strong consumption trends across all customer segments, including traditional businesses, driven by increased commitments and consolidation onto the platform [30][31] Question: Billings lagging behind other metrics - Management acknowledged variability in billings due to seasonality and a government shutdown impacting renewals, but emphasized strong commitments and consumption [32][33][34] Question: Composition of sales-led subscription revenue guidance - Management clarified that the guidance focuses on commitments from both cloud and self-managed environments, with expectations for flat growth in self-serve monthly cloud [36][37] Question: Growth contributions from GenAI revenue - Management emphasized that consumption growth is driven by new workloads and increased data, rather than pricing changes alone [38][39][40] Question: Go-to-market changes and productivity - Management confirmed that changes made to the sales strategy are yielding positive results, with strong execution and commitments [41][42] Question: Competitive landscape in security - Management highlighted that the company is displacing incumbents in the security space, leveraging its data platform and AI capabilities [53][54][55] Question: Observability and security as two sides of the same coin - Management reiterated the importance of data in both observability and security, emphasizing the company's advanced capabilities in these areas [57][58]

Core Insights - Elastic has been recognized as a Leader in the IDC MarketScape for Worldwide General-Purpose Knowledge Discovery 2025, highlighting its strong position in the market for search and analytics solutions [1][3]. Company Overview - Elastic is identified as the Search AI company, integrating search technology with artificial intelligence to transform data into actionable insights [8]. - The company has a significant user base, with over 50% of Fortune 500 companies utilizing its solutions [8]. Product Strengths - Elasticsearch is noted for its capabilities as a widely deployed open-source document and vector database, providing a powerful search and analytics engine essential for generative AI applications [1][2]. - The platform supports fast semantic and hybrid search, GPU-accelerated inference-as-a-service, and offers integrated observability and access controls [2][3]. Key Differentiators - Elastic's hybrid, semantic, and reranking models ensure AI systems are grounded in relevant and accurate context, a concept the company pioneered [5]. - The introduction of Agent Builder allows developers to create custom AI agents quickly, enhancing the platform's flexibility and usability [4][5]. - The company has achieved over 5.5 billion downloads of Elasticsearch, indicating a robust open-source community and developer engagement [5]. Strategic Vision - Elastic aims to help organizations unlock the full potential of their data by connecting content, context, and creativity through search and generative AI [5]. - The company emphasizes a unified data platform that combines search, observability, and security, helping organizations reduce costs and achieve faster insights [5]. Market Position - The IDC MarketScape assessment utilizes a rigorous scoring methodology to evaluate technology suppliers, providing a comprehensive overview of their competitive fitness [7]. - Elastic's recognition as a Leader reflects its strong capabilities and strategies in the knowledge discovery market [1][3].

AgentKit Overview - AgentKit 提供了一套完整的工具，用于构建、部署和优化 agentic 工作流程 [1] - AgentKit 包含 Agent Builder（可视化编排工具）、ChatKit（可嵌入、可定制的聊天 UI）和 Evals（评估能力） [1] Key Components - Agent Builder 是一个基于可视化画布的编排工具，用于设计工作流程 [1] - ChatKit 是一个可嵌入、可定制的聊天 UI，用于部署 agentic 应用 [1] - Evals 提供数据集、跟踪分级和自动提示优化功能，用于优化 agentic 工作流程 [1] Real-World Applications - AgentKit 被 Ramp、Rippling、HubSpot、Carlyle 和 Bain 等公司使用 [1] Resources - AgentKit 文档：https://platform.openai.com/docs/guides/agents/agent-builder [1] - AgentKit Cookbook：https://cookbook.openai.com/examples/agentkit/agentkit_walkthrough [1] - ChatKit Studio：https://chatkit.studio/playground [1]

Core Insights - Elastic has launched Agent Builder, a comprehensive set of capabilities that enables developers to create custom AI agents using company data in a matter of minutes [1] - Agent Builder offers an out-of-the-box conversational experience for exploring, analyzing, and optimizing data stored in Elasticsearch [1] - The evolution of AI agents is aimed at handling more complex and data-driven enterprise tasks, emphasizing the importance of reliability and accuracy [1] Company Developments - The introduction of Agent Builder signifies Elastic's commitment to enhancing developer tools and capabilities in the AI space [1] - The new features are designed to streamline the process of building AI agents, potentially increasing adoption among enterprises [1] Industry Trends - The demand for AI agents that can perform complex tasks is growing, indicating a shift towards more sophisticated data-driven solutions in the enterprise sector [1] - The focus on reliability and accuracy in AI applications reflects broader industry trends towards ensuring trust and effectiveness in AI technologies [1]

Core Insights - The discussion highlights the evolving role of AI in the workplace, suggesting that many current jobs may not represent "real work" as AI capabilities advance [30] - The conversation also touches on the development of GPT-6 and the potential for AI to achieve AGI (Artificial General Intelligence) [18][19] Group 1: AI Development and Applications - Sam Altman expresses excitement about the integration of applications into ChatGPT, emphasizing the potential for developers to create innovative solutions using the Agent Builder and Agent Kit [5][6] - The conversation indicates that ChatGPT has reached 800 million weekly active users, positioning it as a new distribution platform for developers [5] - Altman notes significant advancements in model capabilities over the past two years, allowing for easier and more complex system development with minimal coding [7][8] Group 2: Future of Work and AI Impact - The dialogue suggests that the number of software applications created will increase dramatically, and the time required for testing and refining ideas will decrease significantly [9] - Altman predicts that the first billion-dollar company operated by agents is still a few years away, but the technology is progressing rapidly [11][12] - The concept of "workslop," where AI-generated content requires additional human editing, is discussed, highlighting the need for education on effective AI usage [21][22] Group 3: AGI and Its Implications - Altman defines AGI as AI surpassing human capabilities in high-value economic tasks, noting that current AI can make novel discoveries, albeit on a small scale [19][20] - The conversation emphasizes the importance of recognizing both the potential and limitations of AI advancements, with a focus on gradual progress towards AGI [18][19] Group 4: AI in Communication and Interaction - Altman argues that voice may not be the ultimate form of interaction with AI, suggesting that various modes of communication will coexist [39][40] - The potential for real-time video interactions is highlighted as a valuable path towards achieving AGI [26] Group 5: Business Models and Future Directions - The discussion includes thoughts on potential revenue models for new applications like Sora, with considerations for user engagement and monetization strategies [27][28] - Altman expresses optimism about the future of AI and its ability to create new opportunities, while also acknowledging the need for a global framework to manage risks associated with powerful AI models [33]

⚡️ LATEST: OpenAI has launched Agent Builder, a no-code tool that lets users create custom AI agents with API and service integrations. https://t.co/AfmhnwjJpn ...

Summary of Elastic (NYSE:ESTC) Analyst Day - October 09, 2025 Company Overview - **Company**: Elastic (NYSE:ESTC) - **Event**: Financial Analyst Day - **Date**: October 09, 2025 - **Key Speaker**: Ash Kulkarni (CEO), Eric Prengel (Global VP of Elastic and Head of Investor Relations) Core Industry and Company Insights - **Industry**: Data management and analytics, focusing on unstructured data - **Company's Role**: Elastic is recognized as the world's most popular data platform for unstructured data, with over 5.5 billion downloads of its software, averaging over three downloads per second over 15 years [6][7][8] - **Competitive Advantage**: Elastic's ability to handle unstructured data is its greatest competitive advantage, with over 30 petabytes of new data ingested daily into paid clusters globally [7][9] Key Points and Arguments 1. **Unstructured Data Growth**: The company emphasizes the increasing importance of unstructured data, particularly in the context of AI and large language models (LLMs) [9][10] 2. **AI Integration**: Elastic's platform is positioned as a natural choice for AI applications due to its capabilities in managing unstructured data, which is crucial for training AI models [11][12] 3. **Product Announcements**: Six new product capabilities were announced, including: - **Agent Builder**: A tool for building AI agents directly on top of data [17] - **Elastic Inference Service**: A GPU-accelerated service for embedding and retrieval models [17] - **Acquisition of Jina AI**: Enhances Elastic's capabilities in multilingual and multimodal models [18] 4. **Customer Use Cases**: Notable customers include: - **DocuSign**: Chose Elastic for its intelligent agreement management platform, needing to search billions of documents [20] - **Legora**: An AI-native company that utilizes Elastic for legal research and drafting [21] - **National Health Service (NHS)**: Uses Elastic for patient record management, emphasizing data privacy and relevance [21] 5. **Observability and Security**: Elastic's observability platform is built to handle messy data, with over 90% of Elastic Cloud Observability customers using it for log analytics [28][30] 6. **Market Position**: Elastic is recognized as a leader in its field by analysts, with over 50% of Fortune 500 companies as customers, indicating significant growth potential [37] Additional Important Insights - **Context Engineering**: The concept of context engineering is highlighted as vital for AI applications, ensuring that LLMs have the right data and context to function effectively [55] - **Developer Community**: Elastic has a strong developer community, with 17% of professional developers and 19% of AI developers using Elasticsearch, showcasing its popularity and trust [56][57] - **Performance Improvements**: Recent enhancements include a new data lake architecture that maintains high performance while providing scalability and efficiency [47] Conclusion - **Future Outlook**: Elastic is well-positioned to capitalize on the growing demand for unstructured data management and AI integration, with a strong product lineup and a diverse customer base [39][38]