Elastic is experiencing robust GenAI adoption, particularly among large enterprise customers, supporting a reiterated buy rating. Serverless architecture and search AI Lake decouple storage from compute, lowering barriers to data consolidation and driving stickier, usage-based monetization. ESTC Cloud growth (~22% in Q2) is set to accelerate overall revenue, yet the market undervalues this inflection relative to historical multiples.
Elastic N.V. (ESTC) Presents at Barclays 23rd Annual Global Technology Conference Transcript
Elastic offers a compelling buying opportunity as AI-driven bearishness creates value in mid-cap software stocks. ESTC recently reported strong Q3 results and raised full-year guidance, yet shares have dropped nearly 30% year-to-date. Trading at just 4.0x EV/FY26 revenue, ESTC is attractively valued compared to peers, balancing growth and profitability while launching AI-adapted products.
| Software Industry | Information Technology Sector | Ashutosh Kulkarni CEO | XFRA Exchange | NL0013056914 ISIN |
| US Country | 3,403 Employees | - Last Dividend | - Last Split | 5 Oct 2018 IPO Date |
Elastic N.V. is a data analytics firm that specializes in creating solutions that operate effectively within public and private cloud environments, as well as across multi-cloud systems. Founded in 2012 and headquartered in Amsterdam, the Netherlands, Elastic N.V. focuses on offering a suite of software products, collectively known as the Elastic Stack. These products are designed to ingest, store, and analyze data from a variety of sources and formats, facilitating real-time search, analytics, and visualization of diverse types of data. Elastic’s offerings are in high demand across several industry sectors for applications ranging from search, logging, and metrics to security and performance monitoring, showcasing the company's versatility and innovation in data processing and analytics solutions.
A highly scalable, real-time search and analytics engine, Elasticsearch is at the core of the Elastic Stack. It supports a wide array of data types, including textual, numerical, geospatial, structured, and unstructured data, making it a versatile option for managing and analyzing vast datasets.
Kibana serves as the visual interface for the Elastic Stack, offering users tools for managing, configuring, and visualizing the data processed by Elasticsearch. Its capabilities enable businesses to easily create and share dynamic dashboards that highlight insights from their data.
This component integrates host protection and central management services, streamlining the deployment and management of the Elastic Stack across an organization’s infrastructure. Elastic Agent simplifies the gathering and analysis of data from various endpoints.
Beats are lightweight, single-purpose data shippers designed to send data from edge machines and endpoints to Elasticsearch or Logstash. Each Beat is tailored to a specific type of data, enabling efficient data ingestion from diverse sources.
As a dynamic data collection pipeline, Logstash facilitates the ingestion of data into Elasticsearch or other storage systems from multiple sources at once. It enhances the Elastic Stack's ability to process and analyze data in real time.
Building on the Elastic Stack, the company offers tailored software solutions for a variety of use cases, including but not limited to search applications, workplace search, logging, metrics, application performance monitoring, synthetic monitoring, security information and event management (SIEM), endpoint security, extended detection and response, and cloud security. These specialized solutions enable organizations to address their specific data analysis and security needs efficiently and effectively.