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Price · 1Y
$58.68
Thesis
Elastic monetizes its widely adopted search engine across three workloads: search, observability, and security (SIEM and analytics). Its security business turns the same data platform into threat detection and investigation tooling, while vector search positions Elastic as retrieval infrastructure for enterprise AI / RAG applications.
The investment case is a data-platform play with two strong secular tailwinds — security analytics and AI retrieval — layered on a large open-source-rooted install base. Risks: competition from Splunk (Cisco), Datadog, and hyperscaler-native search, plus consumption-revenue volatility as customers optimize spend.
Catalysts
- Elastic Cloud consumption growth
- Security (SIEM) customer wins and displacement of Splunk
- Vector-search / GenAI workload adoption
- Margin discipline and free-cash-flow trajectory
Recent events
Material filings, federal awards, and regulatory activity. Impact is scored against market cap.