Dynatrace (DT) Q2 2026: Log Management Surges 100% as Platform Consumption Outpaces Revenue
Dynatrace’s log management business doubled, driving platform consumption growth above 20% and outpacing subscription revenue expansion, as the company’s shift to a unified platform and DPS licensing model accelerated large deal wins and early customer expansions. Management’s increased guidance was paired with a prudent outlook for timing variability in large deals, but underlying demand signals and strategic account pipeline remain robust, positioning Dynatrace for continued outperformance in observability and AI-native workloads.
Summary
- Log Management Disruption: Logs revenue more than doubled, fueling outsized platform consumption growth.
- Large Deal Momentum: Strategic account pipeline and seven-figure deals surged, aided by DPS adoption and partner traction.
- Forward Consumption Signal: Platform consumption growth above 20% signals future ARR acceleration as DPS adoption deepens.
Performance Analysis
Dynatrace delivered broad-based outperformance, surpassing guidance on all key metrics and raising its full-year outlook for ARR, revenue, and operating income. Annual recurring revenue (ARR) reached $1.9 billion, with net new ARR up 16% year-over-year, and subscription revenue growth of 17% outpaced guidance. North America and Asia Pacific led geographic strength, while the average new logo ARR grew over 30% year-over-year, reflecting a focus on high-value enterprise customers.
Platform consumption remains the company’s leading indicator, with total Q2 consumption growth above 20%, outpacing both ARR and subscription revenue. The log management business, now rapidly approaching $100 million in annualized consumption, is the fastest-growing product category—doubling year-over-year—and a key driver of large deal expansions, particularly as customers consolidate legacy tools for cost and efficiency gains. DPS, the platform subscription licensing model, now covers 70% of ARR and 50% of customers, with DPS customers showing double the capability adoption and consumption growth rates compared to SKU-based customers.
- Consumption-Led Upsell: Early DPS renewals and expansions, especially among large enterprise clients, contributed to strong net new ARR and reduced reliance on on-demand consumption (ODC).
- Margin Expansion: Non-GAAP operating margin reached 31%, with free cash flow margin at 26% on a trailing 12-month basis, reflecting disciplined execution despite ongoing investments.
- Partner Ecosystem Maturation: Bookings through global system integrators (GSIs) doubled, and new strategic collaborations with ServiceNow and Atlassian are expanding Dynatrace’s reach into autonomous operations and incident management.
Net retention rate (NRR) held steady at 111%, with management emphasizing that ongoing consumption acceleration and early expansions will drive NRR higher over time, albeit with a lag due to the trailing 12-month calculation. The company’s share repurchase program remains active, reflecting confidence in long-term value creation.
Executive Commentary
"Our vision has been consistent over the past years to enable a world in which software works perfectly. By definition, that means that software must always be available. And when issues do occur, the software must self-heal... We see Dynatrace as the AI-powered observability platform for autonomous operations."
Rick McConnell, Chief Executive Officer
"We surpassed the high end of our top-line growth and profitability guidance metrics once again... Consumption growth continues to significantly outpace ARR growth, driven by customer adoption of DPS, leading to broader upsell and cross-sell penetration. Log management continues to be a significant source of growth, both in our installed base and with new logos."
Jim Benson, Chief Financial Officer
Strategic Positioning
1. Unified Observability Platform as Differentiator
Dynatrace’s fully unified platform, built around its RAIL data lakehouse, SmartScape topology, Davis AI, and automation engine, enables deterministic analytics across logs, traces, metrics, and business events. This architecture allows for true end-to-end observability, which is now critical as enterprises adopt multi-cloud and AI-native workloads. The company’s ability to provide “answers, not guesses” is a key competitive moat, especially as customers seek to automate remediation and reduce manual intervention.
2. Log Management Market Disruption
Log management is Dynatrace’s fastest-growing product, with annualized consumption nearing $100 million and growth above 100%. By integrating logs into its unified data model—rather than treating them as a siloed product—Dynatrace enables cross-data analytics and faster root cause analysis. The company’s approach is displacing legacy solutions and driving large expansions, as evidenced by major wins in financial services and airlines seeking to consolidate fragmented toolsets.
3. DPS Licensing Model Accelerates Expansion
The shift to Dynatrace Platform Subscription (DPS) contracts, now covering 70% of ARR, is unlocking broader platform adoption and faster upsell/cross-sell. DPS customers consume twice as many capabilities and grow consumption at double the rate of SKU-based customers. Management targets 80-85% penetration, with ongoing efforts to migrate even like-for-like renewals to DPS. This model is also incentivizing early renewals and larger expansions, supported by recent sales compensation changes.
4. Go-to-Market and Partner Ecosystem Execution
Strategic focus on high-value accounts and partner channels is translating into larger deal sizes, with a 45% increase in strategic account pipeline and 53% growth in seven-figure deals. Bookings through GSIs doubled year-over-year, and new partnerships with ServiceNow and Atlassian are embedding Dynatrace deeper into enterprise IT operations and incident management workflows. The company’s sales productivity has improved, aided by reduced account loads per rep and a two six-month quota structure that enhances linearity and mid-year agility.
5. AI-Native and Autonomous Operations Leadership
Dynatrace is positioning itself as the observability backbone for autonomous, AI-native enterprise operations. The platform is now deeply integrated with leading cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex, NVIDIA), and customers are increasingly adopting Dynatrace to monitor and optimize complex agentic AI workloads. Management sees this as a secular tailwind, with observability becoming mission-critical for self-healing, resilient IT environments.
Key Considerations
This quarter’s results highlight Dynatrace’s ability to capitalize on secular trends in cloud modernization, AI adoption, and tool consolidation, while navigating the complexities of large enterprise deal cycles and evolving customer consumption patterns.
Key Considerations:
- Platform Consumption Outpaces Revenue: Sustained 20%+ consumption growth is a leading indicator for future ARR and expansion, especially as DPS adoption rises.
- Large Deal Timing Variability: Increased focus on strategic accounts brings higher deal values but also introduces more timing uncertainty and longer sales cycles.
- Partner Ecosystem as Growth Lever: Maturing relationships with GSIs, ServiceNow, and Atlassian are expanding Dynatrace’s addressable market and deepening customer integrations.
- Sales Productivity and Compensation Alignment: Recent go-to-market investments and sales comp changes are driving improved execution, early renewals, and higher expansion rates.
- NRR Lagging Consumption: Net retention rate remains stable, but management expects it to rise as consumption-led expansions roll through the trailing 12-month calculation.
Risks
Timing variability in large, strategic deals may create quarter-to-quarter revenue swings, especially as the pipeline becomes more weighted toward high-value consolidations. Macro and geopolitical uncertainty, particularly in EMEA, could impact deal timing and customer budgets. While observability demand remains resilient, competition from legacy and new entrants in log management and AI observability is intensifying. Management’s prudent guidance reflects these uncertainties, even as underlying demand signals remain robust.
Forward Outlook
For Q3, Dynatrace guided to:
- Total revenue between $503 and $508 million
- Subscription revenue between $481 and $486 million
For full-year 2026, management raised guidance:
- ARR growth of 14-15% (up 100 basis points at midpoint)
- Total revenue and subscription revenue growth of 15-15.5%
- Non-GAAP operating margin of 29%
- Free cash flow margin of 26%
- Non-GAAP EPS of $1.62 to $1.64 per diluted share
Management highlighted:
- Seasonality shift toward Q4 for net new ARR due to timing of large deals
- ODC revenue expected in the low 30s as early expansions take precedence over on-demand consumption
Takeaways
Dynatrace’s execution on platform consumption, log management disruption, and DPS penetration is driving sustainable growth, even as large deal cycles introduce timing variability. The company’s strategic positioning in AI-native observability and autonomous operations provides a durable competitive moat.
- Platform-Led Growth: Outperformance in consumption and log management validates Dynatrace’s unified data model and AI-powered analytics as key differentiators.
- Expansion Engine: DPS contracts, partner ecosystem, and early renewals are accelerating ARR growth and deepening customer relationships, especially in large enterprise accounts.
- Future Watchpoint: Monitor convergence of consumption and ARR growth, continued DPS penetration, and execution on large deal pipeline as leading indicators of sustained performance.
Conclusion
Dynatrace’s Q2 2026 results underscore its leadership in observability and autonomous IT, with platform consumption and log management driving future ARR acceleration. While management remains prudent on deal timing, the company’s execution, partner momentum, and AI-native positioning set a strong foundation for continued outperformance.
Industry Read-Through
Dynatrace’s results reinforce two major industry signals: First, unified observability platforms are rapidly displacing fragmented point solutions, especially as enterprises pursue tool consolidation for efficiency and cost savings. Second, AI-native workloads are driving demand for real-time, context-rich analytics, creating tailwinds for vendors that can deliver deterministic, actionable insights across complex, multi-cloud environments. The success of DPS licensing and the maturation of partner ecosystems highlight the importance of flexible consumption models and deep integrations for vendors across the observability and IT automation landscape.