Elastic CEO Ash Kulkarni and CFO Navam Welihinda positioned the company as a critical data platform for the AI era, specifically for "context engineering" to bridge private data with Large Language Models. Management highlighted a strong fiscal Q3, noting sales-led subscription revenue accelerated to 19% and AI adoption reached nearly 25% of their 100,000-customer cohort. Kulkarni defended Elastic’s moat against open-source alternatives, citing the complexity of operationalizing data at scale. The leadership reaffirmed fiscal 2029 targets of 20%+ growth, driven by "self-managed" deployments in regulated industries and new product launches in observability and agent building.
Key Takeaways
- Financial Acceleration: Sales-led subscription revenue growth accelerated to 19% in the recent quarter, supported by a "record number of million-dollar deals."
- AI Adoption: Approximately "a quarter" of the 100,000-customer cohort is now using Elastic for AI use cases.
- AI Consumption Lift: Customers utilizing AI drive approximately a "6% difference" in consumption increase compared to non-AI customers.
- Midterm Targets: Management reaffirmed fiscal 2029 targets to compound sales-led subscription revenue at "20% plus" on a constant currency basis.
- Self-Managed Strategy: There is growing demand for "self-managed" environments (private cloud/on-premise) in regulated sectors and Europe, providing a competitive advantage over cloud-only peers.
- Product Roadmap: To bolster the observability segment, a specialized metrics data store is expected to launch "sometime in the middle of this calendar year."
- Capital Allocation: Of the $0.5 billion capital allocation strategy announced in October, "more than 50%" has been deployed for share repurchases.
Q&A
Sanjit Singh (Morgan Stanley): As investors assess software durability in the AI era, what core value proposition does Elastic deliver today?
- Ash Kulkarni: Elastic serves as a data platform providing "the right context to large language models" by retrieving relevant data from petabytes of information in real-time, which is necessary because moving massive datasets to the model is "physically impossible."
Sanjit Singh (Morgan Stanley): Sales-led subscription revenue accelerated to 19% last quarter; what is the market missing regarding these results?
- Ash Kulkarni: Investors often overlook the "self-managed" segment, where demand is growing in regulated industries and government that require sovereign environments; additionally, "almost a quarter" of the 100,000 customer cohort is now using the platform for AI.
Sanjit Singh (Morgan Stanley): Does the lowering cost of software development allow customers to use AI agents to manage open source deployments without paying for Elastic?
- Ash Kulkarni: While AI tools make writing code easier, "operationalizing" and managing distributed systems at scale remains distinct, risky, and expensive; companies like Anthropic will use established systems like Elastic rather than "try and recreate" them.
Sanjit Singh (Morgan Stanley): How do you anticipate AI monetization impacting the midterm growth targets for sales-led revenue?
- Navam Welihinda: The midterm target for fiscal 2029 is to reach "20% plus" growth; AI monetization is viewed as a "rising tide of revenue growth" that lifts the business over time rather than a sudden inflection in a single quarter.