Summary
3E1 Chart
Elastic: Don't Overlook This Name As Software M&A Picks Up Steam
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.
Elastic N.V. (ESTC) Q2 2026 Earnings Call Transcript
Elastic N.V. ( ESTC ) Q2 2026 Earnings Call November 20, 2025 5:00 PM EST Company Participants Eric Prengel Ashutosh Kulkarni - CEO & Executive Director Navam Welihinda - Chief Financial Officer Conference Call Participants Matthew Hedberg - RBC Capital Markets, Research Division Koji Ikeda - BofA Securities, Research Division Sanjit Singh - Morgan Stanley, Research Division Raimo Lenschow - Barclays Bank PLC, Research Division Robbie Owens - Piper Sandler & Co., Research Division Brian Essex - JPMorgan Chase & Co, Research Division Tyler Radke - Citigroup Inc., Research Division William Miller Jump - Truist Securities, Inc., Research Division Shrenik Kothari - Robert W.
Elastic (ESTC) Q2 Earnings: Taking a Look at Key Metrics Versus Estimates
Although the revenue and EPS for Elastic (ESTC) give a sense of how its business performed in the quarter ended October 2025, it might be worth considering how some key metrics compare with Wall Street estimates and the year-ago numbers.
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Elastic N.V. Profile
| Software Industry | Information Technology Sector | Ashutosh Kulkarni CEO | XBER Exchange | NL0013056914 ISIN |
| US Country | 3,403 Employees | - Last Dividend | - Last Split | 5 Oct 2018 IPO Date |
Overview
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.
Products and Services
- Elasticsearch
- Kibana
- Elastic Agent
- Beats
- Logstash
- Specific Software 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.
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