Welcome to our dedicated page for Elastic news (Ticker: ESTC), a resource for investors and traders seeking the latest updates and insights on Elastic stock.
Elastic N.V. reports developments in search AI software, observability, and security built on its Search AI Platform. Company news commonly covers Jina embedding models for text and multimodal retrieval, Elastic Inference Service availability, partner model deployments, and product integrations that bring search, classification, clustering, and data exploration into enterprise workflows.
Recurring updates also include Elastic Observability features such as Prometheus ingestion, PromQL support in Kibana, and incident investigation tools, as well as Elastic Security capabilities for XDR, SIEM, automation, and agentic security operations. Other company developments include cloud partnerships, air-gapped and sovereign-cloud deployments, federal cloud authorization, and pricing or packaging changes for security offerings.
Elastic (NYSE: ESTC) has announced the expansion of its AutoOps feature to self-managed enterprise users at no additional cost. This cloud-connected service enables real-time diagnostics and performance monitoring for Elasticsearch deployments while maintaining data sovereignty.
The AutoOps platform offers key features including simplified cluster management, reduced operational overhead, cost optimization, and enhanced support efficiency. The service processes operational metadata through Elastic Cloud while keeping customer data within self-managed deployments.
According to Tipalti's data operations manager, AutoOps has significantly improved their issue diagnosis process by providing immediate, actionable intelligence. The feature is now available for Enterprise subscription users as part of Elastic's initiative to simplify Elasticsearch management.
Elastic (NYSE: ESTC) has achieved Certified status in the AV-Comparatives Endpoint Prevention and Response (EPR) Test 2025, demonstrating exceptional performance with 99.3% effectiveness in both Active Response (automated blocking) and Passive Response (detection and alerting).
The company outperformed major competitors including CrowdStrike, Palo Alto Networks, and Fortinet in threat detection across 50 targeted attack scenarios, while maintaining lower or equal total cost of ownership. The test results showed strong protection capabilities with minimal false positives and zero workflow delays in simulated advanced persistent threat (APT) scenarios.
Elastic Security combines SIEM and endpoint security on an open source platform, powered by Search AI, offering comprehensive protection against sophisticated cyber threats.
Elastic (NYSE: ESTC), the Search AI Company, has announced its upcoming Financial Analyst Day scheduled for October 9, 2025 in New York City. The event will commence at 2:00 p.m. ET and will feature presentations from key leadership including CEO Ash Kulkarni, founder and CTO Shay Banon, and other senior executives.
The company will offer both in-person and virtual attendance options, with interested parties able to register for the webcast through Elastic's investor relations website. In-person attendees should contact the company directly at ir@elastic.co.
Elastic (NYSE: ESTC) reported strong Q1 FY2026 financial results with total revenue reaching $415 million, up 20% year-over-year. The company's subscription revenue grew 20% to $389 million, while Elastic Cloud revenue increased 24% to $196 million.
Key metrics include a non-GAAP operating income of $65 million with a 16% margin, and over 1,550 customers with Annual Contract Value exceeding $100,000. The company maintained a healthy Net Expansion Rate of 112% and reported $1.494 billion in cash and equivalents.
Looking ahead, Elastic projects Q2 FY2026 revenue between $415-417 million and FY2026 total revenue of $1.679-1.689 billion, representing 14% year-over-year growth at the midpoint.
Elastic (NYSE: ESTC), the Search AI Company, has announced its participation in three upcoming investor conferences in September 2025. The company's management will present at Citi's Global TMT Conference on September 4, the Goldman Sachs Communacopia & Technology Conference on September 8, and the Piper Sandler Growth Frontiers Conference on September 11. All presentations will be available via webcast, with replays accessible through Elastic's investor relations website at ir.elastic.co.
Elastic (NYSE: ESTC), the Search AI Company, has scheduled its Q1 fiscal 2026 earnings release for Thursday, August 28, 2025, after U.S. market close. The company will hold a conference call at 2:00 p.m. PT / 5:00 p.m. ET to discuss financial results and business outlook.
Investors can access the live webcast through Elastic's investor relations website at ir.elastic.co. A replay will remain available for two months following the presentation.
Elastic (NYSE: ESTC) has launched Logs Essentials, a new tier within Elastic Cloud Serverless that provides serverless log analytics powered by Elasticsearch. This solution is specifically designed for Site Reliability Engineers (SREs) and developers, offering essential capabilities for log management without infrastructure overhead.
The new offering features fast log analytics with filters, pattern matching, alerting, and rich visualizations through ES|QL, Elastic's piped query language. Key benefits include seamless automatic scaling, high availability, and a cost-effective pricing model where users only pay for what they ingest and store.
Elastic (NYSE: ESTC) has launched the Elastic AI SOC Engine (EASE), a serverless security solution designed to enhance existing Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) tools. The new offering integrates AI-driven context-aware detection and triage capabilities without requiring immediate system migration.
EASE features include agentless integrations with platforms like Splunk and Microsoft Sentinel, AI-powered alert correlation through Elastic Attack Discovery, and a context-aware AI Assistant that enriches investigations with internal knowledge sources. The solution aims to help security teams reduce alert fatigue, accelerate threat investigation, and maximize current security investments.
Elastic (NYSE: ESTC) has announced significant improvements to its vector search capabilities with two major enhancements: ACORN-1 algorithm and Better Binary Quantization (BBQ) as the default compression method.
The ACORN-1 algorithm delivers up to 5X faster filtered vector search by integrating filtering into HNSW graph traversal, enabling flexible filter definition at query time. BBQ, now default for dense vectors of 384+ dimensions in Elasticsearch 9.1, provides 32X compression while improving ranking quality, outperforming traditional float32-based search in 9 out of 10 industry-standard BEIR datasets.
Elastic (NYSE: ESTC) has announced significant updates to its Elasticsearch Query Language (ES|QL) in versions 8.19 and 9.1. The enhancements focus on three key areas: data enrichment, cross-cluster capabilities, and performance optimization.
Key features include the general availability of LOOKUP JOIN for data correlation across indexes, Cross-Cluster Search for querying distributed data, and built-in resilience with the new allow_partial_results setting. The update also introduces query monitoring capabilities and over 30 performance improvements, including up to 86x speedup for certain operations.
The platform currently serves over 10,000 clusters weekly, demonstrating significant market adoption.