Dynatrace Inc Stock Price, News & Analysis

Dynatrace (NYSE: DT) reported strong Q1 FY2026 financial results, exceeding guidance across all metrics. The company achieved total revenue of $477 million, up 20% year-over-year, and subscription revenue of $458 million, a 20% increase. Total ARR reached $1.82 billion, growing 18% year-over-year.

The company demonstrated robust operational performance with GAAP operating margin of 13% and non-GAAP operating margin of 30%. Dynatrace closed 12 expansion deals exceeding $1 million in annual contract value, with 10 involving partner collaboration. The company continued its share repurchase program, spending $45 million to repurchase 905,000 shares at an average price of $49.76.

Looking ahead, Dynatrace raised its FY2026 guidance, now expecting total revenue of $1.97-1.985 billion, representing 16-17% growth, and ARR of $1.988-2.003 billion, reflecting 15-16% growth.

Dynatrace (NYSE: DT) has announced significant enhancements to its AI-powered observability platform with new agentic AI capabilities. The platform now features autonomous capabilities designed to predict and prevent disruptions, protect systems, and optimize operations automatically.

The upgraded platform includes key components: Grail (an indexless data lakehouse), Smartscape (real-time topology discovery), Davis AI (combining causal, predictive, and generative AI), and AutomationEngine (for autonomous task execution). These innovations aim to address the challenge where developers typically spend up to 80% of their time on securing, debugging, and optimizing digital systems in production.

Dynatrace (NYSE: DT), the leading AI-powered observability platform, has scheduled its first quarter fiscal year 2026 financial results announcement for August 6, 2025, before U.S. markets open.

The company will host a conference call and webcast at 8:00 a.m. Eastern Time on the same day. Investors can access the call via phone from the U.S. and Canada at (866) 405-1247, or internationally at (201) 689-8045, using conference ID #13754900. A live webcast will be available on the company's investor relations website.

Dynatrace (NYSE: DT) has unveiled significant advancements to its 3rd generation AI-powered observability platform, marking a major step toward autonomous intelligence. The platform combines analytics, AI, and automation to transform observability data into actionable insights and automated responses across IT, cloud, security, and business operations.

Key new capabilities include cloud-native and AI-native acceleration for developers, preventive operations powered by Agentic AI through Davis AI and Davis CoPilot, and a transformative log management experience with petabyte-scale ingestion. The platform's core component, Grail, serves as a massively parallel processing data lakehouse that unifies observability, security, and business data.

Dynatrace (NYSE: DT), the leading AI-powered observability platform, has announced the opening of its new corporate headquarters at Atlantic Wharf in Boston. The office is located in a 32-story mixed-use tower, which holds the distinction of being Boston's first green skyscraper with LEED Platinum certification.

CEO Rick McConnell emphasized the strategic importance of the Boston location, highlighting its access to top talent, universities, and a robust tech ecosystem. The new headquarters has been designed with a focus on collaboration, flexibility, and inclusion to support Dynatrace's continued growth and innovation.

Dynatrace (NYSE: DT) has achieved top rankings in the 2025 Gartner Critical Capabilities for Observability Platforms report. The company ranked #1 in four out of six use cases, scoring highest in Cost Optimization (4.32/5), Site Reliability Engineering (4.3/5), Business Insights (4.3/5), and AI Engineering (4.29/5). The company also performed strongly in Platform Operations (4.28/5) and Software Engineering (4.29/5).

Additionally, Dynatrace was named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms, positioning highest for Ability to Execute. The company's AI-powered observability platform provides unified visibility across digital ecosystems, helping organizations manage complex cloud-native environments.

Dynatrace (NYSE: DT) has achieved the highest position for Ability to Execute in the 2025 Gartner Magic Quadrant for Observability Platforms. This marks the company's 15th consecutive year as a Leader in this category, with Gartner evaluating 20 vendors for the report.

Steve Tack, EVP and Chief Product Officer at Dynatrace, emphasized the company's commitment to innovation and highlighted the importance of AI-powered observability in managing complex cloud-native environments. The recognition reinforces Dynatrace's mission to provide customers with precise insights and intelligent automation capabilities.

Dynatrace (NYSE: DT) has been recognized as the only vendor to receive a Customers' Choice designation in the 2025 Gartner Peer Insights Voice of the Customer for Digital Experience Monitoring. The company achieved an impressive 4.6 out of 5 stars rating, with 93% of customers recommending their solutions based on 67 reviews as of January 2025.

The recognition follows Dynatrace's leadership positions in the 2024 Gartner Magic Quadrant for both Digital Experience Monitoring and Observability Platforms. The company also ranked #1 across three out of five use cases in the 2024 Gartner Critical Capabilities for Observability Platforms, demonstrating its strong market position in AI-powered observability solutions.

Dynatrace (NYSE: DT) announces major platform enhancements with agentic AI capabilities, designed to revolutionize enterprise software development and management. The platform combines observability, security, and business data in a schema-free data lakehouse architecture to enable autonomous operations. Key components include Grail (real-time data lakehouse), Smartscape (topology discovery), Davis AI (combining causal, predictive, and generative AI), and AutomationEngine (autonomous task execution). This advancement addresses a critical challenge where developers spend up to 80% of their time on system maintenance rather than innovation. The platform aims to transition enterprises from manual oversight to AI-driven workflows, enabling autonomous prediction, prevention, and optimization of digital systems.