Elastic is turning search into an AI engine
- Elastic sells subscriptions for its Search AI Platform, with subscription revenue at about 94% of total revenue.
- Elastic Cloud is the main growth engine, reaching 48% of total revenue in fiscal 2026, up from 46% a year earlier.
- Customer commitments improved sharply, with Q4 RPO growth above 28% and CRPO growth at 20%.
- AI use cases now reach more than 1/3 of customers with over $100,000 in annual contract value.
- The hard part is turning large cloud commitments into steady revenue while facing AWS OpenSearch, Splunk, and Datadog.
AI context meets real deals
Elastic had a strong finish to fiscal 2026. The key change is that AI is no longer only a story. Management said AI use cases have reached more than 1/3 of its customers with over $100,000 in annual contract value. Q4 RPO, or contracted revenue not yet recognized, grew more than 28%. CRPO, the part expected within the next year, grew 20%.
The bull case is that Elastic becomes the place where company data sits before an AI model uses it. That matters because large language models need company context to answer useful questions. Elastic can store, search, and retrieve that data without forcing a customer to move huge data sets elsewhere. JINA AI models and AgentBuilder add to that pitch.
Elastic is also winning platform deals in security and observability. Examples in the internal view include the CISA SIEM as a Service contract and a Fortune 50 bank. Native Prometheus support may help it win more metrics workloads, because Prometheus is a common way engineers track system data.
The bear case is timing and competition. Cloud contracts can take time to ramp, especially in the public sector. Recognized revenue may lag signed commitments. AWS OpenSearch, Splunk, Datadog, and other tools can also pressure price and renewal rates. Finn's mixed performance and sentiment scores fit that picture: the setup improved, but execution still has to prove out.
Free use, paid scale
Elastic uses an open-core model. Developers can start with free software, then companies pay for subscriptions when they need advanced features, managed cloud service, security, support, or scale. That product-led path helps Elastic enter teams before a large top-down sale.
Most revenue comes from subscriptions. These include self-managed deployments and Elastic Cloud. Services, such as consulting and training, are smaller and support adoption rather than drive the main profit pool.
The model improves when customers put more data into Elastic. More logs, security events, search data, and AI context can make the platform harder to replace. That is the data gravity advantage. But it cuts both ways. If customers slow usage, optimize cloud spend, or react badly to the 3% cloud and 5% self-managed price increases, growth can wobble.
One platform, three big jobs
Search & AI
This powers company search, website search, e-commerce search, and AI apps. JINA AI models and AgentBuilder help Elastic sell itself as the context layer for GenAI.
Observability
This helps teams monitor apps, logs, infrastructure, and metrics. Native Prometheus time series support is important because it targets a large existing developer habit.
Security
This includes SIEM, endpoint security, cloud security, XDR, and SOAR workflows. Large public sector and bank wins show Elastic can replace older security tools.
Elastic Cloud
This is the hosted and serverless version of the platform. It reached 48% of total revenue in fiscal 2026 and remains the main growth driver.
Self-managed subscriptions
Some customers still run Elastic in their own environments. This keeps Elastic relevant for firms with strict control, cost, or data location needs.
Subscriptions carry the company
Elastic reports one operating segment, but gives revenue by type. The mix below uses the fiscal year ended April 30, 2026: subscription revenue was about 94% of total revenue, while services made up the rest.
What could break the thesis
Cloud usage ramps too slowly
High impact · Medium oddsElastic is signing large cloud and public sector commitments, but revenue is recognized as customers use the platform. If CISA and other large customers take longer to roll out, RPO can look strong while near-term revenue growth disappoints. This is a real risk in a consumption model.
AI demand stays narrow
High impact · Medium oddsManagement says AI use cases now touch more than 1/3 of the over $100,000 ACV customer cohort. That is promising, but the company also warns that AI monetization is still new and may not produce major revenue for years, if at all. If customers test AI but do not expand spend, the bull case weakens.
Prometheus support cannibalizes spend
Medium impact · Medium oddsNative Prometheus support could win net-new observability work. It could also shift existing log-based metrics spending into a cheaper or lower-growth bucket. The open question is whether this feature expands the pie or mostly rearranges current usage.
Price hikes change customer behavior
Medium impact · Medium oddsElastic has recent price increases of 3% for cloud and 5% for self-managed subscriptions in the internal view. That can lift revenue if customers accept it. It can hurt if buyers reduce usage, delay projects, or push back during renewals.
AI rules and copyright claims add costs
Medium impact · Medium oddsElastic's filings call out risks from generative and agentic AI. These include regulation such as the EU AI Act, as well as intellectual property and copyright claims tied to third-party models or open-weight models. New rules could slow launches or raise compliance costs.
Buybacks reduce flexibility
Low impact · Medium oddsElastic authorized a $500M share repurchase program. Buybacks can help shareholders when the stock is cheap. They can also reduce cash that might be needed for product investment, sales capacity, or deals.
In one breath
What does Elastic do?
Elastic makes software that helps companies search, monitor, and secure large amounts of data. Its platform is used for website search, AI apps, logs, metrics, and security analytics.
How does Elastic make money?
Elastic mainly makes money from subscriptions. Customers can use free open-core software, then pay for advanced features, support, Elastic Cloud, or self-managed subscriptions as usage grows.
Why is AI important to Elastic?
AI tools need company data to give useful answers. Elastic wants to be the storage and retrieval layer that gives AI models the right context, helped by JINA AI models and AgentBuilder.
What is the biggest risk for Elastic stock?
The biggest risk is that signed cloud and AI deals do not turn into smooth revenue growth. Competition from AWS OpenSearch, Splunk, and Datadog can also pressure pricing and renewals.