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Edge16 Oct 2026
Winner, Winner: The Chicken McNugget Story
How a 1940s breeding contest, a Cornell food scientist, and a hedge by Ray Dalio helped McDonald's turn the Chicken McNugget into a fast-food icon.
Elastic
Elastic (ESTC) investor relations material
Elastic Status update summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Status update summary22 Sep, 2026
Metrics platform innovation and architecture
Launched a new metrics offering, re-architected Elasticsearch with a column store for high cardinality and AI workloads, enabling fast, efficient querying and storage.
Benchmarks show up to 30x faster performance than Prometheus and Mimir, and 8x faster than ClickHouse, with significant storage efficiency.
Integrated platform allows seamless correlation of logs, metrics, and traces, supporting AI-driven root cause analysis and natural language queries.
Native PromQL support enables easy migration and familiar workflows for users, with 90% compatibility and ongoing improvements.
Tools and professional services facilitate migration from other solutions, with out-of-the-box dashboards, visualizations, and integrations for Kubernetes, AWS, and partners like Vercel.
Customer adoption and use cases
Customers, such as Norion Bank, report substantial storage savings and improved observability by consolidating logs, metrics, and traces on a unified platform.
Metrics are highlighted as the most cost-effective signal for continuous monitoring, providing early alerts for issues before user impact.
Time series data streams and Elastic Agent integrations deliver efficient, reliable monitoring for environments like Kubernetes.
Unified schema and platform flexibility support both small and large-scale deployments, enhancing operational efficiency.
Customers value the ability to move seamlessly between signals during incident investigations, reducing tool sprawl.
Market strategy and adoption outlook
Targeting existing log analytics customers for metrics attachment, PromQL users seeking efficiency, and organizations penalized by current pricing models.
Early adoption is positive, but enterprise sales cycles mean a gradual ramp in uptake rather than immediate acceleration.
AI-driven infrastructure growth and agent workloads are driving demand for scalable, economic metrics solutions.
Spend consolidation is a key trend, with customers reevaluating tools to handle increased data volumes and monitoring needs.
Product unlocks include efficient data storage, PromQL compatibility, dashboard migration, and AI-powered data interaction.
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Latest events from Elastic
- Board nomination of Julia Liuson and key AGM voting matters focus on AI-driven innovation.ESTC
Proxy filing - 2026 proxy materials are online, with voting for shareholders of record as of September 17, 2026.ESTCProxy filing
- Key votes include director elections, auditor appointments, and executive compensation.ESTCProxy filing
- Proxy covers board elections, auditor appointments, share authorizations, and executive pay, all board-backed.ESTCProxy filing
- Board nominee Julia Liuson brings AI expertise as shareholders prepare to vote at the 2026 AGM.ESTCProxy filing
- Revenue up 15% to $478M, record large customer growth, and raised FY27 guidance.ESTCQ1 2027
- Q2 FY26 revenue up 16%, Elastic Cloud up 22%, $114M in buybacks, and AI innovation accelerated.ESTCQ2 2026
- Q1 FY25 revenue up 18% year-over-year, Elastic Cloud up 30%, and FY25 guidance raised.ESTCQ1 2025
- Q4 revenue up 16%, cloud up 23–26%, with strong AI adoption and prudent FY26 outlook.ESTCQ4 2025
Next Elastic earnings date
Q2 202719 Nov, 2026
Elastic
Next Elastic earnings date
Q2 202719 Nov, 2026
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Frequently asked questions
Data-driven decisions made easy
Elastic is a software company that provides a search and analytics platform designed to help organizations unlock the value of their data. The company's primary offering is the Elastic Stack, which includes Elasticsearch, Kibana, Beats, and Logstash. Elastic's business model revolves around open-source software, with a dual-license approach. They offer a free and open-source version of their software, known as the Elastic Stack, and also provide additional enterprise features and support through commercial subscriptions.
Economies of scale – data advantage
One of Elastic's key competitive advantages is its powerful search and analytics capabilities. The Elastic Stack allows organizations to efficiently search, analyze, and visualize large volumes of data in real-time, enabling them to derive valuable insights and make informed decisions. Elastic's scalability, flexibility, and ease of use have made it a popular choice for organizations of all sizes. The company also possesses a competitive advantage tied to its size since data analytics services become even more powerful when they are run with a large volume of data. Elastic's substantial size also allows it to invest heavily in research and development (R&D), which is vital for staying relevant in the software and cloud provider industry.
Structural tailwinds
Elastic operates in an industry with several opportunities. The exponential growth of data and the need for organizations to effectively manage and extract insights from it present a significant market opportunity. Elastic can continue to expand its customer base by catering to industries such as e-commerce, finance, healthcare, and cybersecurity, where data analytics and search capabilities are crucial.
However, Elastic also faces challenges in the market. Competition from other established players, as well as emerging open-source and cloud-based solutions, can pose a threat to Elastic's market share. Additionally, maintaining a balance between the open-source community and the commercial offerings while monetizing the software can be challenging.
Three listed peers to Elastic in the software and analytics industry are: Splunk, MongoDB, and Datadog.