DT 10-K & 10-Q changes, risk factors and insider trading

Overall demand and market adoption of the solutions that we offer may not grow as we expect, which may harm our business and prospects.

We believe our future success will depend in large part on the growth, if any, in the overall demand and market adoption for observability and related solutions that utilize analytics and AI at their core, particularly the demand for enterprise-wide solutions and our ability to provide solutions that meet such ever-evolving needs. We currently target the markets for AI observability, log management and analytics, modern cloud observability, infrastructure observability, application observability, digital experience, application security, software delivery, developer experience, and business analytics. It is difficult to predict customer demand, adoption, churn, and renewal rates for our new and existing solutions, the rate at which existing customers expand their usage of our solutions, and the size and growth rate of the market for our solutions. Expansion in our addressable markets depend on a number of factors, including the continued and growing use and reliance of enterprises on software applications to manage and drive critical business functions and customer interactions, increased cloud computing adoption and use, increased use of microservices and containers, and the continued proliferation of mobile applications, large data sets, and the Internet of Things. If our solutions do not achieve widespread adoption, we are not able to develop new or innovative solutions that meet customer needs, or there is a reduction in demand for observability and related solutions generally, it could result in reduced customer purchases, reduced renewal rates, and decreased revenue, any of which will adversely affect our business, operating results, and financial condition.

The markets in which we operate are highly competitive, which may adversely affect our ability to add new customers, retain existing customers, and grow our business.

We have incorporated AI into our platform and AI is changing the competitive dynamics of our industry. Our competitors or other third parties may incorporate AI into their products more quickly or more successfully than us, may invest more in AI development than us, or have access to more advanced AI models or autonomous agents with greater capabilities or broader functionality, which could reduce demand for our platform and adversely affect our results of operations. We may also face greater competition from non-specialist solutions relying on generic LLMs, generative AI, and general-purpose agents to address a broad range of business needs. As part of our sales efforts, we must demonstrate to existing and prospective customers that our offerings are preferable to other solutions available to their organizations, including generic LLMs, software created using natural language prompts and generative AI (referred to as vibe coding) and other emerging technologies. If we are unable to continue developing and integrating advanced AI functionality into the Dynatrace platform in a way that meets customer expectations or competitive benchmarking, our market position and growth prospects could be adversely affected. For a description of additional risks related to AI, please see the risk below entitled, “Our use of new and evolving technologies, including AI in our offerings and business, may present risks and challenges that can impact our business, including by posing cybersecurity, operational, and other risks to our confidential and/or proprietary information, including personal information, and as a result we may be exposed to reputational harm and liability” along with AI-related references in other risks discussed in this section.

We compete either directly or indirectly with infrastructure monitoring vendors, APM vendors, log management vendors, digital experience monitoring vendors, security vendors, open source and commercial open source vendors, point solutions from public cloud providers, and IT operations management and business intelligence providers with offerings that cover some portion of the capabilities that we provide. Further, to the extent that one of our competitors establishes or strengthens a cooperative relationship with, or acquires one or more software APM, data analytics, compliance, or network visibility vendors, it could adversely affect our ability to compete. We may also face competition from companies entering our market, which has a relatively low barrier to entry in some segments, including large technology companies that could expand their platforms or acquire one of our competitors. For example, Cisco acquired Splunk in 2024 and Palo Alto Networks acquired Chronosphere in 2026.

•greater brand recognition, longer operating histories, and greater familiarity with some of our target customers;

Additionally, in certain circumstances, and particularly among large technology companies that have complex and large software application and IT infrastructure environments, customers may elect to build in-house solutions to address their observability and related needs. Any such in-house solutions could leverage AI and open source software, and therefore be made generally available at little or no cost.

The markets for observability and related solutions are characterized by constant change and innovation, and we expect them to continue to rapidly evolve. Moreover, many of our customers operate in industries characterized by changing technologies and business models, which require them to develop and manage increasingly complex software application and IT infrastructure environments. Our future success, if any, will be based on our ability to consistently provide our customers with a compelling, AI-driven, end-to-end, near real-time view into the performance of their software applications and IT infrastructure, provide notification and prioritization of degradations and failures, perform root cause analysis of performance issues, and analyze the quality of their end users’ experiences and the resulting impact on their businesses and brands. If we do not respond to the rapidly changing needs of our customers by developing and making available new solutions and solution enhancements that can address evolving customer needs on a timely basis, our competitive position and business prospects will be harmed, and our revenue growth and margins could decline.

In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention.

In addition to developing new solutions or solution enhancements using internal resources, we may license or acquire technologies from a third party, or acquire another company. Any acquisition of this type could be unsuccessful for a variety of reasons, require significant management attention, disrupt our business, dilute stockholder value, and adversely affect our results of operations. For a description of some of the risks related to potential acquisitions, please see the risk below entitled “We may acquire other businesses, products, or technologies in the future which could require significant management attention, disrupt our business or result in operating difficulties, dilute stockholder value, and adversely affect our results of operations.”

To the extent that we are not able to continue to execute on our business model to timely and effectively develop, license, or acquire and market applications to address these challenges and attain market acceptance, our business, operating results, and financial condition will be adversely affected.

•offer a compelling, AI-driven, end-to-end platform that combines broad and deep observability and continuous runtime application security to support IT operations, development, security, business, and executive teams;

Our customers have no obligation to renew their agreements, and our customers may decide not to renew these agreements with a similar contract period, or at the same prices and terms. Although our customer retention rate has historically been strong, some of our customers have elected not to renew their agreements with us, and it is difficult to accurately predict long-term customer retention, churn and expansion rates. Our customer retention and expansion rates may decline or fluctuate as a result of a number of factors, including our customers’ satisfaction with our platform, the competitiveness of other software products and services, utilization rates of our platform by our customers, reductions in our customers’ spending levels, customer concerns about macroeconomic trends, our prices and pricing plans, the impact of mergers and acquisitions on our customers, leadership changes at our customers, our customer support and professional services, changes to our go-to-market strategy, user adoption of our solutions, deployment success, new product releases and changes to our product offerings. If our customers do not renew their agreements, or renew on less favorable terms, our business, financial condition, and operating results may be adversely affected.

Our ability to increase our customer base and achieve broader market acceptance of our solutions will depend to a significant extent on the ability of our sales and marketing organizations to work together to drive our sales pipeline and cultivate customer and partner relationships to drive revenue growth. The increasing adoption of generic LLMs and AI‑driven assistants may also impact how customers access, interpret, and derive value from Dynatrace, which could affect how we market, sell, and position our solutions. We have invested in and plan to continue expanding our sales and marketing organizations, both in the United States and internationally. We also plan to dedicate significant resources to sales and marketing programs, including lead generation activities and brand awareness campaigns, such as our industry events, webinars, and user events with an increased investment in digital or online activities. If we are unable to effectively identify, hire, onboard, train, develop, motivate, and retain talented sales personnel or marketing personnel or if our new sales personnel or marketing personnel, online investments are unable to achieve desired productivity levels in a reasonable period of time, or if we do not create an effective strategy for our personnel to execute, our ability to increase our customer base and achieve broader market acceptance of our offerings could be harmed.

In addition to our sales force, we rely on partners, including our strategic partners, to increase our sales and distribution of our software and services. We also have independent software vendor partners whose integrations may increase the breadth of the ecosystem in which our solutions can operate, and the size of the market that our solutions can address. We also have partnerships with GSIs and hyperscalers on which many of our customers depend, and through which our customers may be able to procure and deploy our solutions. We are dependent on these partner relationships to contribute to enabling our sales growth. We expect that our future growth will be increasingly dependent on the success of our partners and our partner relationships, and if those partnerships do not provide such benefits, our ability to grow our business will be harmed. If we are unable to scale our partner relationships effectively, or if our partners are unable to serve our customers effectively, we may need to expand our services organization, which could adversely affect our results of operations.

Our agreements with our partners are generally non-exclusive, meaning our partners may offer products from several different companies to their customers or have their products or technologies also interoperate with products and technologies of other companies, including products that compete with our offerings. Moreover, some of our partners also compete with us, and if our partners do not effectively market and sell our offerings, choose to use greater efforts to market and sell their own products or those of our competitors or fail to meet the needs of our customers, our ability to grow our business and sell our offerings will be harmed. Many of our customers are also customers of hyperscalers. If our solutions fail to interoperate effectively with the hyperscalers’ products, or if our partnerships with one or more of these hyperscalers are not successful or are terminated, our ability to sell additional products or offerings to these customers and our ability to grow our business will be harmed. Furthermore, our partners may cease marketing our offerings with limited or no notice and with little or no penalty, and new partners could require extensive training and may take several months or more to achieve productivity. The loss of a substantial number of our partners, our possible inability to replace them or our failure to recruit additional partners could harm our results of operations. Our partner structure could also subject us to lawsuits or reputational harm if, for example, a partner misrepresents the functionality of our offerings to customers or violates applicable laws or our corporate policies.

We believe that maintaining and enhancing the Dynatrace brand and increasing market awareness of our company and our solutions are critical to achieving broad market knowledge of our existing and future solutions. Increasing awareness is important to attract and retain customers, partners, and employees, particularly as we continue to introduce new capabilities and enhancements and expand internationally. In addition, independent industry analysts, such as Gartner and Forrester, often provide reviews of our solutions, as well as those of our competitors, and perception of our solutions in the marketplace may be significantly influenced by these reviews. We have no control over what these or other industry analysts report, and because industry analysts may influence current and potential customers, our brand could be harmed if they do not provide a positive review of our solutions or view us as a market leader. In addition, the increasing adoption of generic LLMs and AI‑driven assistants may influence how customers discover, recognize, and attribute value to brands across the observability and security market segments.

Our growth depends upon our ability to enhance our existing offerings and our ability to introduce new offerings on a timely basis. We intend to continue to address the need to develop new offerings and enhance existing offerings both through internal research and development, and also through the acquisition of other companies, product lines, technologies, and personnel. In the last two years, we acquired Metis, DevCycle, and Bindplane. We expect to continue to consider and evaluate a wide array of potential acquisitions as part of our overall business strategy, including, but not limited to, acquisitions of certain businesses, technologies, services, products, and other assets and revenue streams. At any given time, we may be engaged in discussions or negotiations with respect to one or more acquisitions, any of which could, individually or in the aggregate, be material to our financial condition and results of operations. There can be no assurance that we will be successful in identifying, negotiating, and consummating favorable acquisition opportunities, and we may not be able to complete such acquisitions on favorable terms. If we do complete acquisitions, we may not ultimately strengthen our competitive position or achieve our goals, and any acquisitions we complete could be viewed negatively by our customers, securities analysts, and investors, and could be disruptive to our operations.

•inadequate data security, cybersecurity, and operational and IT compliance and resilience;

We sell our solutions to U.S. federal and state and foreign governmental agency customers, often through our distributors and resellers, and we may increase sales to government entities in the future. Sales to government entities are subject to a number of challenges and risks, including constraints on the budgetary process, including changes in the policies and priorities of the particular government, such as to reform federal government processes and reduce government expenditures, continuing resolutions, adherence to government audit and certification requirements, debt ceiling disruptions, deficit-reduction legislation, and any shutdown or default of the particular government. Selling to government entities can be highly competitive, expensive and time consuming, often requiring significant upfront time and expense without any assurance that these efforts will generate a sale. Contracts and subcontracts with government agency customers are subject to procurement laws and regulations relating to the award, administration, and performance of those contracts. Government demand and payment for our solutions are affected by public sector budgetary cycles and funding authorizations, with funding reductions or delays adversely affecting public sector demand for our solutions, including in connection with an extended federal government shutdown. We may be subject to audit or investigations relating to our sales to government entities, and any violations could result in various civil and criminal penalties and administrative sanctions, including termination of contracts, refunds of fees received, forfeiture of profits, suspension of payments, fines, and suspension or debarment from future government business including business with governmental agencies across the country involved. Government entities may have statutory, contractual, or other legal rights to terminate contracts with our distributors and resellers for convenience, non-appropriation, or due to a default. Any of these risks relating to our sales to governmental entities could adversely impact our future sales and operating results.

Our use of new and evolving technologies, including AI in our offerings and business, may present risks and challenges that can impact our business, including by posing cybersecurity, operational, and other risks to our confidential and/or proprietary information, including personal information, and as a result we may be exposed to reputational harm and liability.

Our company has significant experience with the use and integration of AI and we have incorporated it within our offerings for several years. We use AI technologies as a core component of the products and services we offer to customers, and for internal purposes to support our operations and performance. The operations of third parties upon which we rely also use AI. AI is rapidly evolving and developing, and our use of AI involves a broad range of risks and challenges that could negatively impact our business, including cybersecurity, data privacy, IT, IP, regulatory, legal, operational, competitive, and reputational. While we continue to invest in AI solutions and we believe that AI-related capabilities will be increasingly important to the value that the Dynatrace platform provides to our customers and to the efficiency of our operations, there can be no assurance that we will realize the desired or anticipated benefits from our AI investments.

AI technologies and solutions, including agentic and generative AI tools, may have bias, produce inaccurate, misleading, harmful, or incomplete data, content, analyses, and recommendations, or other discriminatory, hallucinatory, or unexpected results, inferences, or behaviors. As we integrate more agentic AI workflows into our platform, the actions that are taken or suggested by AI-powered agents performing without human oversight could be incorrect or unintended, resulting in negative impacts for both our company and our customers. If our use of AI were to draw controversy, it could harm our reputation and could give rise to legal or regulatory action.

While we focus on using AI in a responsible, ethical, and legal manner, our use of AI and the impact of laws, regulations, and ethical considerations for AI generally, and as they apply to our customers, are evolving rapidly and becoming increasingly complex. We expect to see increasing government and supranational regulation related to AI use and ethics, which may also significantly increase the burden and cost of research, development and compliance in this area. A growing number of legislators and regulators are adopting laws and regulations and have focused enforcement efforts on the adoption of AI and use of such technologies in compliance with ethical standards and societal expectations. These developments may increase our compliance burden and costs in connection with use of AI and lead to legal liability if we fail to meet evolving legal standards or if use of such technologies results in harms or other causes of action we did not predict. For example, the European Union (“EU”) adopted the Artificial Intelligence Act (the “AI Act”) on August 1, 2024, with significant components of the AI Act continuing to come into effect in the near future. As currently enacted, the AI Act, which may be amended as part of the EU’s Digital Omnibus, imposes significant obligations on providers and deployers of high-risk AI systems, and encourages providers and deployers of AI systems to account for EU ethical principles in their development and use of these systems. The scope of requirements depends on judicial interpretations and forthcoming legislative amendments, and non-compliance can lead to significant fines.

In the United States, new AI-related laws and rulemakings are underway or being proposed at the federal, state, and local levels. Over the past year, states have advanced, and in some cases passed, dozens of laws focusing on AI governance and regulation, including on deployment of AI in healthcare settings. At the federal level, the Trump Administration has endorsed a federal moratorium on the enforcement of state AI laws, including through a December 11, 2025 executive order on “Ensuring a National Policy Framework for Artificial Intelligence.” So far, these efforts have not been successful at curtailing state action on AI regulation, contributing to a complicated legislative patchwork, which may be litigated in state and federal courts. Current or future laws, regulations, and ethical considerations related to the use of AI technology may impact our ability to provide insights from data and use certain data to develop our offerings.

The rapid evolution of AI will require the application of significant resources to design, develop, test and maintain our products and services to help ensure that AI is implemented in accordance with applicable law and regulation and in a socially responsible manner and to minimize any real or perceived unintended harmful impacts.

We rely on third-party vendors for both our customer facing AI capabilities and AI-enabled internal tools. These vendors may not meet existing or rapidly evolving regulatory or industry standards and best practices, including with respect to privacy and data security.

Bad actors around the world use increasingly sophisticated methods, including the use of AI, to engage in fraud, scams, targeted attacks (such as model poisoning or data poisoning), and other illegal activities involving the theft and misuse of data, personal information, confidential information and IP. Our development, use, and deployment of AI may also result in misinformation or an erosion of shared understanding, increased inequality, environmental harms, and other adverse effects. These risks or their effects may also impose burdensome and costly requirements on our ability and our customers’ ability to utilize data in innovative ways.

Our customers include many of the world’s largest enterprises which deploy the Dynatrace platform to support increasingly complex IT environments. As workloads scale and cybersecurity threats evolve, cloud modernization and rapid AI adoption have significantly increased data volume and complexity, rendering traditional monitoring or observability approaches insufficient for many organizations. We believe this positions Dynatrace to address a significant market opportunity through our differentiated platform, deep cloud ecosystem integrations, and trusted customer and partner relationships.

Revenue

Impairment of long-lived assets. We review long-lived assets for impairment whenever events or changes in circumstances indicate the carrying amount of an asset may not be recoverable. Impairment of long-lived assets consists of impairment losses on certain right-of-use assets and the associated property and equipment when the carrying amounts exceed their respective fair values.

U.S. Tax Legislation

On July 4, 2025, the OBBBA was enacted into law. The OBBBA contains a broad range of tax reform provisions including immediate expensing of domestic research and development expenditures, the reinstatement of 100% bonus depreciation, and modifications to the international tax framework. The OBBBA has multiple effective dates, with certain provisions effective in fiscal 2026 and other provisions effective in subsequent years. The OBBBA did not have a material impact on fiscal 2026. We do not anticipate the provisions effective in future years will have a material impact. We will continue to monitor ongoing developments and guidance and evaluate any potential impact on future periods.

Revenue

Subscription

Service

Subscription

Service

Impairment of long-lived assets

The impairment loss in fiscal 2026 reflects the write down of certain leased office spaces with impairment indicators due to changes in the utilization of these facilities, including the decision to cease use of certain locations and pursue sublease arrangements, to their estimated fair value. No impairment loss was recorded in prior periods.

Interest income, net, remained consistent in fiscal 2026 compared to fiscal 2025.

Overall demand and market adoption of the solutions that we offer may not grow as we expect, which may harm our business and prospects.

We believe our future success will depend in large part on the growth, if any, in the overall demand and market adoption for observability and related solutions that utilize analytics and AI at their core, particularly the demand for enterprise-wide solutions and our ability to provide solutions that meet such ever-evolving needs. We currently target the markets for AI observability, log management and analytics, modern cloud observability, infrastructure observability, application observability, digital experience, application security, software delivery, developer experience, and business analytics. It is difficult to predict customer demand, adoption, churn, and renewal rates for our new and existing solutions, the rate at which existing customers expand their usage of our solutions, and the size and growth rate of the market for our solutions. Expansion in our addressable markets depend on a number of factors, including the continued and growing use and reliance of enterprises on software applications to manage and drive critical business functions and customer interactions, increased cloud computing adoption and use, increased use of microservices and containers, and the continued proliferation of mobile applications, large data sets, and the Internet of Things. If our solutions do not achieve widespread adoption, we are not able to develop new or innovative solutions that meet customer needs, or there is a reduction in demand for observability and related solutions generally, it could result in reduced customer purchases, reduced renewal rates, and decreased revenue, any of which will adversely affect our business, operating results, and financial condition.

We have incorporated AI into our platform and AI is changing the competitive dynamics of our industry. Our competitors or other third parties may incorporate AI into their products more quickly or more successfully than us, may invest more in AI development than us, or have access to more advanced AI models or autonomous agents with greater capabilities or broader functionality, which could reduce demand for our platform and adversely affect our results of operations. We may also face greater competition from non-specialist solutions relying on generic large language models (“LLMs”), generative AI, and general-purpose agents to address a broad range of business needs. As part of our sales efforts, we must demonstrate to existing and prospective customers that our offerings are preferable to other solutions available to their organizations, including generic LLMs, software created using natural language prompts and generative AI (referred to as vibe coding) and other emerging technologies. If we are unable to continue developing and integrating advanced AI functionality into our platform in a way that meets customer expectations or competitive benchmarking, our market position and growth prospects could be adversely affected. For a description of additional risks related to AI, please see the risk below entitled, “Our use of new and evolving technologies, including AI in our offerings and business, may present risks and challenges that can impact our business, including by posing cybersecurity, operational, and other risks to our confidential and/or proprietary information, including personal information, and as a result we may be exposed to reputational harm and liability” along with AI-related references in other risks discussed in this section.

•greater brand recognition, longer operating histories, and greater familiarity with some of our target customers;

•substantially greater financial, technical, management, and other resources.

Additionally, in certain circumstances, and particularly among large technology companies that have complex and large software application and IT infrastructure environments, customers may elect to build in-house solutions to address their observability and related needs. Any such in-house solutions could leverage AI and open source software, and therefore be made generally available at little or no cost.

The markets for observability and related solutions are characterized by constant change and innovation, and we expect them to continue to rapidly evolve. Moreover, many of our customers operate in industries characterized by changing technologies and business models, which require them to develop and manage increasingly complex software application and IT infrastructure environments. Our future success, if any, will be based on our ability to consistently provide our customers with a compelling, AI-driven, end-to-end, near real-time view into the performance of their software applications and IT infrastructure, provide notification and prioritization of degradations and failures, perform root cause analysis of performance issues, and analyze the quality of their end users’ experiences and the resulting impact on their businesses and brands. If we do not respond to the rapidly changing needs of our customers by developing and making available new solutions and solution enhancements that can address evolving customer needs on a timely basis, our competitive position and business prospects will be harmed, and our revenue growth and margins could decline.

In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention.

In addition to developing new solutions or solution enhancements using internal resources, we may license or acquire technologies from a third party, or acquire another company. Any acquisition of this type could be unsuccessful for a variety of reasons, require significant management attention, disrupt our business, dilute stockholder value, and adversely affect our results of operations. For a description of some of the risks related to potential acquisitions, please see the risk below entitled “We may acquire other businesses, products, or technologies in the future which could require significant management attention, disrupt our business or result in operating difficulties, dilute stockholder value, and adversely affect our results of operations.”

To the extent that we are not able to continue to execute on our business model to timely and effectively develop, license, or acquire and market applications to address these challenges and attain market acceptance, our business, operating results, and financial condition will be adversely affected.

•offer a compelling, AI-driven, end-to-end platform that combines broad and deep observability and continuous runtime application security to support IT operations, development, security, business, and executive teams;

Our customers have no obligation to renew their agreements, and our customers may decide not to renew these agreements with a similar contract period, or at the same prices and terms. Although our customer retention rate has historically been strong, some of our customers have elected not to renew their agreements with us, and it is difficult to accurately predict long-term customer retention, churn and expansion rates. Our customer retention and expansion rates may decline or fluctuate as a result of a number of factors, including our customers’ satisfaction with our platform, the competitiveness of other software products and services, utilization rates of our platform by our customers, reductions in our customers’ spending levels, customer concerns about macroeconomic trends, our prices and pricing plans, the impact of mergers and acquisitions on our customers, leadership changes at our customers, our customer support and professional services, changes to our go-to-market strategy, user adoption of our solutions, deployment success, new product releases and changes to our product offerings. If our customers do not renew their agreements, or renew on less favorable terms, our business, financial condition, and operating results may be adversely affected.

Our ability to increase our customer base and achieve broader market acceptance of our solutions will depend to a significant extent on the ability of our sales and marketing organizations to work together to drive our sales pipeline and cultivate customer and partner relationships to drive revenue growth. The increasing adoption of generic LLMs and AI‑driven assistants may also impact how customers access, interpret, and derive value from Dynatrace, which could affect how we market, sell, and position our solutions. We have invested in and plan to continue expanding our sales and marketing organizations, both in the United States and internationally. We also plan to dedicate significant resources to sales and marketing programs, including lead generation activities and brand awareness campaigns, such as our industry events, webinars, and user events with an increased investment in digital or online activities. If we are unable to effectively identify, hire, onboard, train, develop, motivate, and retain talented sales personnel or marketing personnel or if our new sales personnel or marketing personnel, online investments are unable to achieve desired productivity levels in a reasonable period of time, or if we do not create an effective strategy for our personnel to execute, our ability to increase our customer base and achieve broader market acceptance of our offerings could be harmed.

In addition to our sales force, we rely on partners, including our strategic partners, to increase our sales and distribution of our software and services. We also have independent software vendor partners whose integrations may increase the breadth of the ecosystem in which our solutions can operate, and the size of the market that our solutions can address. We also have partnerships with GSIs and hyperscalers on which many of our customers depend, and through which our customers may be able to procure and deploy our solutions. We are dependent on these partner relationships to contribute to enabling our sales growth. We expect that our future growth will be increasingly dependent on the success of our partners and our partner relationships, and if those partnerships do not provide such benefits, our ability to grow our business will be harmed. If we are unable to scale our partner relationships effectively, or if our partners are unable to serve our customers effectively, we may need to expand our services organization, which could adversely affect our results of operations.

Our agreements with our partners are generally non-exclusive, meaning our partners may offer products from several different companies to their customers or have their products or technologies also interoperate with products and technologies of other companies, including products that compete with our offerings. Moreover, some of our partners also compete with us, and if our partners do not effectively market and sell our offerings, choose to use greater efforts to market and sell their own products or those of our competitors or fail to meet the needs of our customers, our ability to grow our business and sell our offerings will be harmed. Many of our customers are also customers of hyperscalers. If our solutions fail to interoperate effectively with the hyperscalers’ products, or if our partnerships with one or more of these hyperscalers are not successful or are terminated, our ability to sell additional products or offerings to these customers and our ability to grow our business will be harmed. Furthermore, our partners may cease marketing our offerings with limited or no notice and with little or no penalty, and new partners could require extensive training and may take several months or more to achieve productivity. The loss of a substantial number of our partners, our possible inability to replace them or our failure to recruit additional partners could harm our results of operations. Our partner structure could also subject us to lawsuits or reputational harm if, for example, a partner misrepresents the functionality of our offerings to customers or violates applicable laws or our corporate policies.

We believe that maintaining and enhancing the Dynatrace brand and increasing market awareness of our company and our solutions are critical to achieving broad market knowledge of our existing and future solutions. Increasing awareness is important to attract and retain customers, partners, and employees, particularly as we continue to introduce new capabilities and enhancements and expand internationally. In addition, independent industry analysts, such as Gartner and Forrester, often provide reviews of our solutions, as well as those of our competitors, and perception of our solutions in the marketplace may be significantly influenced by these reviews. We have no control over what these or other industry analysts report, and because industry analysts may influence current and potential customers, our brand could be harmed if they do not provide a positive review of our solutions or view us as a market leader. In addition, the increasing adoption of generic LLMs and AI‑driven assistants may influence how customers discover, recognize, and attribute value to brands across the observability and security market segments.

Our growth depends upon our ability to enhance our existing offerings and our ability to introduce new offerings on a timely basis. We intend to continue to address the need to develop new offerings and enhance existing offerings both through internal research and development, and also through the acquisition of other companies, product lines, technologies, and personnel. In the last two years, we acquired Metis, DevCycle, and Bindplane. We expect to continue to consider and evaluate a wide array of potential acquisitions as part of our overall business strategy, including, but not limited to, acquisitions of certain businesses, technologies, services, products, and other assets and revenue streams. At any given time, we may be engaged in discussions or negotiations with respect to one or more acquisitions, any of which could, individually or in the aggregate, be material to our financial condition and results of operations. There can be no assurance that we will be successful in identifying, negotiating, and consummating favorable acquisition opportunities, and we may not be able to complete such acquisitions on favorable terms. If we do complete acquisitions, we may not ultimately strengthen our competitive position or achieve our goals, and any acquisitions we complete could be viewed negatively by our customers, securities analysts, and investors, and could be disruptive to our operations.

•inadequate data security, cybersecurity, and operational and IT compliance and resilience;

Our use of new and evolving technologies, including AI in our offerings and business, may present risks and challenges that can impact our business, including by posing cybersecurity, operational, and other risks to our confidential and/or proprietary information, including personal information, and as a result, we may be exposed to reputational harm and liability.

Our company has significant experience with the use and integration of AI and we have incorporated it within our offerings for several years. We use AI technologies as a core component of the products and services we offer to customers, and for internal purposes to support our operations and performance. The operations of third parties upon which we rely also use AI. AI is rapidly evolving and developing, and our use of AI involves a broad range of risks and challenges that could negatively impact our business, including cybersecurity, data privacy, IT, IP, regulatory, legal, operational, competitive, and reputational. While we continue to invest in AI solutions and we believe that AI-related capabilities will be increasingly important to the value that our platform provides to our customers and to the efficiency of our operations, there can be no assurance that we will realize the desired or anticipated benefits from our AI investments.

AI technologies and solutions, including agentic and generative AI tools, may have bias, produce inaccurate, misleading, harmful, or incomplete data, content, analyses, and recommendations, or other discriminatory, hallucinatory, or unexpected results, inferences, or behaviors. As we integrate more agentic AI workflows into our platform, the actions that are taken or suggested by AI-powered agents performing without human oversight could be incorrect or unintended, resulting in negative impacts for both our company and our customers. If our use of AI were to draw controversy, it could harm our reputation and could give rise to legal or regulatory action.

While we focus on using AI in a responsible, ethical, and legal manner, our use of AI and the impact of laws, regulations, and ethical considerations for AI generally, and as they apply to our customers, are evolving rapidly and becoming increasingly complex. We expect to see increasing government and supranational regulation related to AI use and ethics, which may also significantly increase the burden and cost of research, development, and compliance in this area. A growing number of legislators and regulators are adopting laws and regulations and have focused enforcement efforts on the adoption of AI and use of such technologies in compliance with ethical standards and societal expectations. These developments may increase our compliance burden and costs in connection with use of AI and lead to legal liability if we fail to meet evolving legal standards or if use of such technologies results in harms or other causes of action we did not predict. For example, the European Union (“EU”) adopted the Artificial Intelligence Act (the “AI Act”) on August 1, 2024, with significant components of the AI Act continuing to come into effect in the near future. As currently enacted, the AI Act, which may be amended as part of the EU’s Digital Omnibus, imposes significant obligations on providers and deployers of high-risk AI systems, and encourages providers and deployers of AI systems to account for EU ethical principles in their development and use of these systems. The scope of requirements depends on judicial interpretations and forthcoming legislative amendments, and non-compliance can lead to significant fines.

In the United States, new AI-related laws and rulemakings are underway or being proposed at the federal, state, and local levels. Over the past year, states have advanced, and in some cases passed, dozens of laws focusing on AI governance and regulation, including on deployment of AI in healthcare settings. At the federal level, the Trump Administration has endorsed a federal moratorium on the enforcement of state AI laws, including through a December 11, 2025 executive order on “Ensuring a National Policy Framework for Artificial Intelligence.” So far, these efforts have not been successful at curtailing state action on AI regulation, contributing to a complicated legislative patchwork, which may be litigated in state and federal courts. Current or future laws, regulations, and ethical considerations related to the use of AI technology may impact our ability to provide insights from data and use certain data to develop our offerings.

The rapid evolution of AI will require the application of significant resources to design, develop, test, and maintain our products and services to help ensure that AI is implemented in accordance with applicable law and regulation and in a socially responsible manner and to minimize any real or perceived unintended harmful impacts.

We rely on third-party vendors for both our customer facing AI capabilities and AI-enabled internal tools. These vendors may not meet existing or rapidly evolving regulatory or industry standards and best practices, including with respect to privacy and data security.

Bad actors around the world use increasingly sophisticated methods, including the use of AI, to engage in fraud, scams, targeted attacks (such as model poisoning or data poisoning), and other illegal activities involving the theft and misuse of data, personal information, confidential information, and IP. Our development, use, and deployment of AI may also result in misinformation or an erosion of shared understanding, increased inequality, environmental harms, and other adverse effects. These risks or their effects may also impose burdensome and costly requirements on our ability and our customers’ ability to utilize data in innovative ways.

IP ownership and license rights related to AI technologies have not been fully addressed by U.S. courts or other federal, state, or international laws or regulations, and our use of certain AI technology could also give rise to risks of third party claims of infringement, misappropriation, or violation of IP rights.

As AI technology is evolving rapidly, it is not possible to predict all of the operational, technological, and legal risks that may arise related to the use of AI. For a description of additional risks related to AI, please see the AI-related references in other risks discussed in this “Risk Factors” section.

Our customers include many of the world’s largest enterprises which deploy the Dynatrace platform to support increasingly complex IT environments. As workloads scale and cybersecurity threats evolve, cloud modernization and rapid AI adoption have significantly increased data volume and complexity, rendering traditional monitoring or observability approaches insufficient for many organizations. We believe this positions Dynatrace to address a significant market opportunity through our differentiated platform, deep cloud ecosystem integrations, and trusted customer and partner relationships.

Beginning in the first quarter of fiscal 2027, we updated our non-GAAP liquidity measure from free cash flow to adjusted free cash flow to exclude the impact of certain items that management does not consider indicative of ongoing operating performance. We believe that adjusted free cash flow is a more useful measure as excluding payments for acquisition-related, restructuring, and other non-recurring and unusual items provides investors with better comparability of cash generated from our business period over period. Adjusted free cash flow is not residual cash flow available for our discretionary expenditures. Prior period results have been recast to conform to the current period presentation for comparability.

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Subscription

Subscription gross profit increased by $57.5 million, or 15%, during the three months ended June 30, 2026 as compared to the three months ended June 30, 2025. Subscription gross margin decreased to 85% for the three months ended June 30, 2026 compared to 86% for the three months ended June 30, 2025. The decrease in gross margin was primarily due to higher cloud-based hosting costs, which were driven by increased customer utilization of our SaaS platform and expanding adoption of platform features, slightly offset by efficiencies in personnel costs.