Welcome to our dedicated page for Elastic N.V. news (Ticker: ESTC), a resource for investors and traders seeking the latest updates and insights on Elastic N.V. stock.
Elastic N.V. (NYSE: ESTC), frequently described as the Search AI Company, generates a steady flow of news around search, artificial intelligence, observability, and security. This page aggregates news coverage and press releases about Elastic, giving investors and technology professionals a single place to review its latest product announcements, partnerships, financial updates, and strategic initiatives.
Company news often highlights advances in the Search AI Platform, including enhancements to Elasticsearch as a document and vector database for generative AI and knowledge discovery. Elastic reports on new capabilities such as Agent Builder for building AI agents on enterprise data, Elastic Inference Service for GPU-accelerated inference, and agentic AI features embedded in observability and security products. These updates show how the company is positioning its platform for AI-native, search-powered applications.
Elastic also issues news on its observability offerings, including innovations in the Elastic Distribution of OpenTelemetry (EDOT), managed OTLP endpoints, and features like Streams that apply agentic AI to log analysis. Announcements frequently describe integrations with major cloud and AI ecosystems, such as Amazon Bedrock AgentCore, Azure AI Foundry, and Google Vertex AI, reflecting Elastic’s focus on open standards and interoperability.
Security and public sector developments are another recurring theme. Elastic has announced a partnership with the Cybersecurity and Infrastructure Security Agency (CISA) and ECS to build a FedRAMP-hosted SIEM-as-a-Service platform for U.S. federal civilian agencies, as well as a strategic investment in Siren to support AI-driven investigations for national security and financial crime. Investors can also find earnings releases, conference participation notices, and recognition from analyst firms such as IDC and Forrester, which provide additional context on Elastic’s market positioning.
By reviewing this news feed regularly, readers can follow how Elastic’s technology, partnerships, and financial disclosures evolve over time and how these developments relate to ESTC stock and the broader software and AI landscape.
Elastic (NYSE: ESTC) has announced the general availability of Elastic Distributions of OpenTelemetry (EDOT), a comprehensive open distribution of the OpenTelemetry collector and SDKs for code instrumentation. The release aims to provide SREs and developers with a stable, production-tested OpenTelemetry ecosystem backed by enterprise-grade support.
According to EMA Research, while over 73% of IT decision-makers are using or planning to implement OpenTelemetry, lack of vendor support remains a major adoption barrier. EDOT addresses this challenge by offering production-ready OpenTelemetry with expert support, avoiding vendor lock-in and eliminating the need for schema conversion.
The solution is now available to all Elastic customers, featuring components like EDOT Java and EDOT Python.
Elastic (NYSE: ESTC) has expanded its partnership with Tines, integrating Tines Workflow Automation with the Elastic Search AI Platform to enhance security and observability workflow automation. The integrated solution combines security orchestration, automation and response (SOAR) with AI-driven security analytics.
The partnership addresses the challenge of managing overwhelming data, alerts, and issues requiring intervention in today's digital environment. Key benefits include:
- Faster issue resolution through connected systems and AI-powered workflows
- Increased operational efficiency with automated workflows
- Reduced costs through better incident mitigation
- Consistent execution of standardized procedures
Texas A&M System Cyber Operations has already implemented the solution across their network of 11 universities and eight state agencies, reporting improved detection and response times.
Elastic (NYSE: ESTC) has appointed Navam Welihinda as its new Chief Financial Officer, effective February 28, 2025. Welihinda will serve as the company's principal financial officer and principal accounting officer.
Welihinda joins from Grammarly, where he served as CFO overseeing corporate finance and development. His previous experience includes seven years at HashiCorp as CFO, where he helped scale the company through its IPO and drove profitable growth. He also held finance leadership roles at IBM and investment positions at Insight Venture Partners, American Capital Strategies, and Sierra Ventures.
The appointment aligns with Elastic's focus on its Search AI Platform and continued development in search, GenAI, observability, and security solutions. CEO Ash Kulkarni highlighted Welihinda's expertise in building multi-product, open source businesses and experience with consumption-based products as key assets for Elastic's next growth phase.
Elastic (NYSE: ESTC) reported strong Q3 fiscal 2025 results with total revenue reaching $382 million, up 17% year-over-year. Elastic Cloud revenue grew 26% to $180 million. The company posted a GAAP operating loss of $5 million with -1% margin, while non-GAAP operating income was $64 million with 17% margin.
Key metrics showed positive momentum with over 1,460 customers having Annual Contract Value above $100,000, and total subscription customers reaching approximately 21,350. The Net Expansion Rate was 112%.
For Q4 FY2025 guidance, Elastic expects revenue between $379-381 million, representing 13% year-over-year growth. Full fiscal 2025 revenue is projected at $1.474-1.476 billion, with 16% year-over-year growth and non-GAAP operating margin of 14.7%.
Elastic (NYSE: ESTC), the Search AI Company, has announced its upcoming participation in the Morgan Stanley Technology, Media & Telecom Conference. The presentation is scheduled for Wednesday, March 5, 2025 at 1:05 p.m. PT / 4:05 p.m. ET.
Investors and interested parties can access both the live webcast and a replay of the presentation through Elastic's Investor Relations page at ir.elastic.co.
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now integrates with Jina AI's latest embedding models and reranking products. This integration enables developers building semantic search and RAG applications to utilize Jina AI's high-performance tools without additional integration or development costs.
The collaboration includes support for multilingual text embeddings and reranking, optimized for retrieval, clustering, and classification. The integration combines Jina's resource-efficient search foundation models with Elasticsearch's scalability, allowing developers to build reliable semantic search and RAG applications on a singular platform alongside Elastic models like ELSER.
The support for Jina AI is currently available in Elastic Cloud Serverless, with supported models including jina-embeddings-v3 and jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC) has announced it will release its third quarter fiscal 2025 financial results after the U.S. market close on Thursday, February 27, 2025. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET on the same day to discuss the financial results and business outlook. Investors can access the live webcast through Elastic's investor relations website at ir.elastic.co, with a replay available for two months.
Elastic (NYSE: ESTC), the Search AI Company, has announced its upcoming participation in the 27th Annual Needham Growth Conference. The company's management will deliver their presentation on Thursday, January 16, 2025, at 12:00 p.m. PT / 3:00 p.m. ET.
Investors and interested parties can access both the live webcast and a replay of the presentation through Elastic's Investor Relations page at ir.elastic.co.
Elastic (NYSE: ESTC) has announced the general availability of Elasticsearch logsdb index mode, a new feature that reduces log data storage footprint by up to 65% compared to recent versions without this mode. The innovation optimizes data ordering, eliminates duplication, and improves compression through advanced algorithms and codecs.
The feature is now generally available for Cloud Hosted and Self-Managed customers in version 8.17 and comes enabled by default for logs in Elastic Cloud Serverless. Basic capabilities are available with Standard, Gold, and Platinum licenses, while complete capabilities are accessible to Serverless customers and Enterprise license holders.
Elastic (NYSE: ESTC) has launched Elastic Rerank, a cross-encoder reranking model designed to enhance semantic search capabilities without requiring reindexing. Built on the DeBERTa v3 architecture, the model demonstrates superior performance compared to larger reranking models, showing a 40% improvement in general retrieval tasks and up to 90% enhancement in question-answering datasets.
The new feature allows developers to semantically boost keyword search with minimal changes to existing data indexing and search processes, offering greater flexibility and cost control. The model is accessible through the Elasticsearch Open Inference API and is available on Elasticsearch Serverless and Elasticsearch 8.17.