Elastic Raises Full-Year Guidance as AI Penetration Nearly Doubles and New Metrics Architecture Opens Fresh Growth Vector
Q1 fiscal 2027 earnings call, August 27, 2026: record $100,000-plus customer additions and a technical overhaul of the observability stack underpin an early-year acceleration story
Elastic delivered a first quarter that beat across every guided metric and, more importantly, validated the acceleration thesis management laid out just one quarter ago. Total revenue reached $478 million, up 15%, while sales-led subscription revenue grew 18% to $399 million. On a constant currency basis, both metrics accelerated from the fourth quarter, with total revenue growth stepping up to 15% from 14% and subscription revenue growth to 17% from 16%. CFO Navam Welihinda called this "validation for acceleration trajectory," and the company used the print to raise its full fiscal 2027 revenue guidance to a range of $1.998 billion to $2.010 billion, roughly 15.2% growth at the midpoint, alongside a bump in non-GAAP operating margin guidance to approximately 19.4%.
AI Penetration in Top Customers Nearly Doubles
The most striking data point from the quarter was the surge in AI adoption within Elastic's highest-value customer base. CEO Ashutosh Kulkarni disclosed that 37% of customers spending $100,000 or more in annual contract value are now using Elastic for AI use cases, up from roughly 21% a year ago, translating to more than 670 high-value AI customers with 70 net additions in the quarter alone. This cohort also added a record 80 net new logos in the quarter, the largest sequential increase in the company's history, and now represents 90% of sales-led subscription revenue, up from 87% a year ago. Kulkarni tied this directly to a sales segmentation change made roughly two years ago: "What you're seeing is customers are making bigger commitments, customers are making longer-term commitments. And that's resulting in this cohort really growing very nicely." Welihinda added that AI-using customers continue to show "a higher growth propensity compared to customers not using AI," a dynamic that management first flagged at its Financial Analyst Day and now sees playing out in the data.
A New Columnar Architecture Targets Metrics and Observability
Perhaps the most consequential technical disclosure was Elastic's rollout of columnar mode in Elasticsearch 9.5, now in technical preview, a purpose-built index mode for time-series data that Kulkarni said cuts metric storage costs from double-digit bytes per sample to approximately 3 bytes, a reduction of roughly 20%. Combined with native Prometheus ingestion and PromQL support, the move directly targets an infrastructure-monitoring market where Elastic has historically had limited presence. Kulkarni was candid about the gap being addressed: "About 1.5 years ago or so, we started working on a completely novel back-end to Elasticsearch that allowed us to have not just the regular document store model...but also a columnar store backend." He framed the opportunity in blunt terms: "If we do this right over the next year, multiple years, this is going to be a pretty significant and meaningful area of growth for us." The company backed this with the acquisition of Deductive AI, whose reinforcement-learning harness automates incident investigation by combining code repositories, alerts, and downstream signals from tools like Slack and PagerDuty, a capability Elastic is positioning as the foundation of an "agentic SRE" function.
Security Momentum Building in a Post-Mythos Threat Environment
Security emerged as the fastest-growing solution area in the quarter, ahead of both search/AI and observability, according to Kulkarni's ranking on the call. The company pointed to a large U.S. public sector agency migration completed in under a month using automated tooling, unlocked by Elastic's newly achieved FedRAMP High authorization, as evidence of accelerating displacement of incumbent SIEM vendors. Elastic also disclosed 14 consecutive months of 100% detection rates in independent AV-Comparatives testing and recognition as a leader in the IDC MarketScape for SIEM. Kulkarni repeatedly referenced a "post-Mythos world" in which vulnerabilities are discovered and weaponized faster than human defenders can respond, arguing this backdrop is accelerating enterprise urgency around AI-driven security operations centers. "It's never been harder to be a CISO," he said, framing Elastic's differentiated approach as transparency into its AI reasoning rather than the black-box models offered by some competitors: "We allow you to see what's under the covers. You can see the skills. You can see the tools inside the harness."
Net Expansion Rate Dips, But Management Frames It as a Lagging Signal
Not everything moved in a straight line. Net expansion rate ticked down to 111% from 112%, a metric Welihinda was careful to characterize as backward-looking rather than a red flag: "The NER we reported in Q1 reflects the lower constant currency growth rate in the trailing four quarters as compared to the four quarters preceding it. We expect NER to improve within four quarters as constant currency revenue acceleration builds through fiscal '27." Remaining performance obligations told a more constructive story, with current RPO up 21% and total RPO up 27%, both metrics management pointed to as evidence that customers are extending multi-year commitments as part of broader AI infrastructure buildouts.
Capital Returns and Governance Update
Elastic returned approximately $40 million to shareholders in the quarter through the repurchase of roughly 800,000 shares, bringing cumulative buybacks under its $500 million program launched in October 2025 to $380 million and 5.2 million shares. Adjusted free cash flow margin came in at 30% for the quarter despite $13 million in cash charges tied to a June restructuring, though the company reiterated its full-year adjusted free cash flow margin target of 21.5%. On governance, Caryn Marooney is stepping down from the board after a long tenure, with Julia Liuson, former President of Developer Tools at Microsoft, nominated to replace her, a hire Kulkarni described as bringing "a unique perspective around AI and at-scale infrastructure development."