Elastic N.V. is an American-Dutch multinational enterprise search, log observability, and cybersecurity software corporation co-headquartered in San Francisco, California, and Amsterdam, Netherlands. Founded in 2012 by Shay Banon, Steven Schuurman, Uri Boness, and Simon Willnauer, Elastic is the creator of Elasticsearch, Kibana, Logstash, and Beats (the world-famous ELK Stack). Listed on the New York Stock Exchange (ticker: ESTC) with a market capitalization exceeding $9.2 billion USD, Elastic generates over $1.45 billion in annual recurring subscription revenue with free cash flow surpassing $300 million (FCF margin >22%) under CEO Ashutosh Kulkarni and CTO Shay Banon, powering real-time search, observability, and Generative AI vector retrieval (RAG) for over 21,000 enterprise customers worldwide.
Elastic N.V.: Key Facts & Operational Metrics
| Company Name | Elastic N.V. |
|---|---|
| Founded | 2012 (Amsterdam, Netherlands) |
| Founders | Shay Banon (CTO), Steven Schuurman, Uri Boness, Simon Willnauer |
| Headquarters | San Francisco, California, USA & Amsterdam, Netherlands |
| Stock Ticker | NYSE: ESTC (New York Stock Exchange) |
| Industry | Enterprise Search, Log Observability, Cybersecurity & Vector AI Databases |
| Chief Executive Officer | Ashutosh Kulkarni |
| Employees | Approximately 3,400 personnel worldwide (Distributed-First) |
| Annual Recurring Revenue | $1.45B+ USD (92%+ Subscription SaaS) |
| Free Cash Flow | $300.0M+ USD (FCF Margin >22%) |
| Market Capitalization | $9.2 billion USD (NYSE: ESTC) |
| Enterprise Customers | 21,000+ Subscription Customers in 100+ Countries |
| Fortune 500 Penetration | Used by >50% of the Fortune 500 |
| Net Expansion Rate | 110%+ |
| Website | elastic.co |
- Annual revenue, free cash flow, and enterprise customer counts verified from SEC Form 10-K and 10-Q filings
- All financial figures standardized to US Dollars (USD) for global comparative analysis
- For informational purposes only - not financial advice
In 2004, an Israeli software engineer named Shay Banon was living in London while his wife attended culinary school in Paris. Wanting to help her organize her expanding collection of recipes, Banon set out to build a desktop recipe search application. While investigating Apache Lucene, he found it powerful but extraordinarily difficult to manage in distributed environments. Banon built Compass, and in February 2010, released Elasticsearch—an intuitive JSON-over-HTTP distributed search engine that instantly went viral among developers worldwide for server logging.
In 2012, Banon teamed up with Steven Schuurman, Uri Boness, and Simon Willnauer to formally launch Elastic in Amsterdam. Taking the company public on the NYSE in 2018, Elastic expanded into a multi-cloud search, observability, and security titan. Today, generating over $1.45 billion in annual recurring revenue with $300M+ in free cash flow, Elastic is the foundational vector database and retrieval engine powering enterprise Generative AI across more than half the Fortune 500.
What Does Elastic Do?
Elastic provides a unified 'Search AI Platform' delivering three core enterprise solutions:
- Elastic Search & Generative AI: Scalable search and hybrid vector database combining BM25 exact keyword matching, dense vectors, and semantic reranking (RRF) to power customer-facing apps and LLM RAG pipelines.
- Elastic Observability: Petabyte-scale log analytics, APM (Application Performance Monitoring), synthetic monitoring, and distributed tracing across hybrid and Kubernetes environments.
- Elastic Security: Cloud-native SIEM (Security Information and Event Management), extended detection and response (XDR), and endpoint protection analyzing billions of security events in real time.
- Elastic Cloud: Fully managed multi-cloud SaaS hosting on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) with serverless auto-scaling.
- ES|QL Query Engine: Vectorized, in-memory query execution language executing complex data transformations, aggregations, and threat hunting at lightning speed.
How Does Elastic Make Money?
Elastic operates a high-margin, cloud-first SaaS and software subscription business model:
- Elastic Cloud (~45%+ of Revenue): Consumption-based and annual subscription hosting across AWS, Azure, and Google Cloud with >25% annual growth.
- Self-Managed Enterprise Subscriptions (~45% of Revenue): Enterprise security features, machine learning, and 24/7 mission-critical technical support for private clouds.
- Professional Services & Consulting (~10% of Revenue): Enterprise architecture consulting, implementation planning, and certified engineer training.
Elastic Financials & Compounding Trajectory
Elastic has demonstrated strong operating leverage and expanding free cash flows:
- 2010: Shay Banon open-sourced Elasticsearch 0.4 on GitHub.
- 2012: Founded in Amsterdam by Shay Banon, Steven Schuurman, Uri Boness, and Simon Willnauer.
- 2015: Launched Elastic Cloud, creating its high-growth managed SaaS business.
- 2018: Completed NYSE IPO at $36 per share ($2.5B initial market cap).
- 2019: Acquired Endgame ($234M), launching Elastic Security SIEM and XDR.
- 2023: Unveiled native vector database and Reciprocal Rank Fusion (RRF) for Generative AI.
- 2026: Generated annual recurring revenue exceeding $1.45 billion USD ($1.45B+) with $300M+ in free cash flow (FCF margin >22%) and a $9.2 billion market capitalization on the NYSE.
The 'All Data is Search' Moat: The Single Data Tier Advantage
Traditional enterprise software companies force CIOs to buy separate database point solutions: Datadog for APM metrics, Splunk for cybersecurity SIEM logs, and Pinecone for vector embeddings. This requires companies to pay 3x to ingest, store, and transfer the exact same telemetry data three times.
Elastic solved this through its **Search AI Platform**. Because all operational telemetry—whether it is an eCommerce search query, a Kubernetes error log, or a firewall breach alert—is fundamentally unstructured data that must be searched in real time, Elastic ingests data once into Elasticsearch. An enterprise can use that single data tier for search, observability, and security simultaneously, cutting total cost of ownership by 40-50% compared to fragmented competitors.
Hybrid Vector Search: Why Elasticsearch Wins in Generative AI (RAG)
When building enterprise Generative AI copilots (such as internal employee assistants or customer support bots), Large Language Models (LLMs) suffer from hallucinations unless they are provided with accurate proprietary company documents via **Retrieval-Augmented Generation (RAG)**.
While standalone vector databases only perform approximate nearest-neighbor vector matching, Elastic engineered **Hybrid Vector Search**. By combining traditional BM25 exact keyword matching (which finds exact product serial numbers and legal clauses) with dense vector embeddings (which understand conceptual meaning) and merging them with **Reciprocal Rank Fusion (RRF)**, Elasticsearch delivers 40% higher context retrieval accuracy to LLMs than pure vector databases, establishing Elastic as the foundational infrastructure for enterprise generative AI.
Elastic Extended FAQ
What is Elastic and who founded it?
Elastic N.V. is a global search, observability, and security software company founded in 2012 by Shay Banon, Steven Schuurman, Uri Boness, and Simon Willnauer. It is publicly traded on the NYSE (ESTC) with a $9.2B market cap.
Who is the CEO of Elastic?
Ashutosh Kulkarni is the Chief Executive Officer of Elastic N.V., leading the company since January 2022 after previously serving as Chief Product Officer.
What is Elastic's annual revenue and free cash flow in 2026?
Elastic generates over $1.45 billion in annual recurring subscription revenue with more than $300 million in free cash flow (FCF margin >22%) and a market cap of $9.2 billion on the NYSE.
What is Elasticsearch?
Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene, capable of indexing and searching petabytes of text, logs, and vector embeddings in milliseconds.
Why is Elasticsearch used for Generative AI and RAG?
Elasticsearch combines lexical BM25 keyword matching with dense vector embeddings and semantic reranking (RRF) to retrieve the most accurate proprietary context for LLMs and AI agents.
How does Elastic compare to Datadog and Splunk?
Elastic allows enterprises to ingest data once and use it across search, observability, and security on a single engine, cutting total cost of ownership by 40-50% compared to separate point solutions.
What is Elastic Cloud?
Elastic Cloud is a fully managed SaaS platform providing hosted Elasticsearch, Kibana, and integrations across Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
How many customers use Elastic?
Over 21,000 enterprise subscription customers worldwide use Elastic, including more than 50% of the Fortune 500.
Related Companies
- Datadog - Premier cloud infrastructure monitoring and observability rival.
- Snowflake - Leading cloud data warehouse and analytical platform.
- MongoDB - Global modern document database titan.
ES|QL: Transforming Real-Time Log and Security Analytics
As enterprise datasets exploded into petabytes, traditional SQL and Lucene queries struggled with complex multi-stage aggregations across billions of distributed log records.
Elastic engineered **ES|QL (Elasticsearch Pipelined Query Language)**. Operating on a modern vectorized in-memory compute engine, ES|QL allows engineers to filter, transform, and aggregate massive streaming datasets directly inside Elasticsearch using intuitive Unix-style pipe operators. By executing complex threat-hunting queries up to 10x faster with reduced CPU consumption, ES|QL has solidified Elastic's technological moat across global Security Operations Centers (SOCs).
