Detailed Narrative
AI as a Context Engine
Elastic positions itself as essential for agentic AI, providing accurate, real-time context by searching through massive, proprietary enterprise data. Its hybrid flexibility allows sensitive data to remain in preferred environments, displacing legacy and niche cloud-native vendors. The company emphasizes that vectors alone are insufficient, offering a full retrieval toolkit from hybrid search to advanced reranking, ensuring agents have relevant context for precise actions.
Customer Wins and Expansion
The quarter saw significant deal momentum, including a 7-figure new logo deal with a Fortune 100 insurance institution for Elastic Security, displacing a legacy SIM solution. Another large deal involved a global data resiliency software leader choosing Elastic Observability for its new cloud offering. A global financial group expanded its 7-figure Elasticsearch deal for online banking applications, moving beyond MongoDB's limitations in scalability and precision.
AI Adoption and Monetization
AI use cases are growing, with over 3,000 customers using Elastic for AI, including 2,700 for vector database capabilities. Over 470 customers with ACV greater than $100,000 are using Elastic for AI, with AI use cases penetrating over 25% of this cohort. New logo and expansion deals with AI-first innovators validate Elastic's platform as a standard for both established enterprises and disruptors.
Performance and Technical Moat
Elastic focuses on optimizing its Search AI platform for relevance, speed, and efficiency. Innovations like binary quantization and Acorn filtering have reduced RAM requirements for vector search by two orders of magnitude and made Elasticsearch vector search up to 8x faster than OpenSearch. Partnerships with NVIDIA and Dell are integrating Elasticsearch into AI factories for GPU-accelerated vector databases and streamlined AI deployment.
Product Milestones and Hybrid Flexibility
General availability of Agent Builder allows developers to create secure, context-driven AI agents. Elastic Inference Service expanded to include GENA AI's multilingual reranking models, improving search accuracy. Elastic Workflows, in technical preview, adds automation for agents to orchestrate actions across internal and external systems. Cloud Connect enables self-managed customers to leverage Elastic Cloud's GPU capabilities for high-performance inference while keeping data local.
Financial Discipline and Capital Return
The company demonstrated robust operating leverage with an 18.6% non-GAAP operating margin. It continues its $500 million share repurchase program, having completed 60% by the end of Q3 FY26, repurchasing 3.8 million shares cumulatively. Adjusted free cash flow was $54 million, representing a 12% margin, with expectations to sustain FY25 levels for the full year.