Atlassian Q3 FY 2026 Earnings Show Continued Cloud And AI-Led Expansion

Atlassian Q3 FY 2026 Earnings Show Continued Cloud And AI-Led Expansion

Analyst(s): Futurum Research
Publication Date: May 4, 2026

Atlassian’s Q3 FY 2026 results reinforced that its Cloud transition and AI product motion are working together, not trading off. Management positioned context and agent orchestration as key to sustaining expansion while addressing customer scrutiny on AI cost and governance.

What is Covered in This Article:

  • Atlassian’s Q3 FY 2026 financial results
  • Rovo adoption and credit usage
  • Service Collection share gains in ITSM
  • Teamwork Graph and agent orchestration
  • Guidance and Final Thoughts

The News: Atlassian (NASDAQ: TEAM) announced financial results for Q3 FY 2026. Revenue was $1.8 billion, up 32% year-on-year (YoY), versus Wall Street revenue consensus of $1.7 billion. Cloud revenue was $1.1 billion, up 29% YoY; Data Center revenue was $560.7 million, up 44% YoY; Marketplace and other revenue was $93.8 million, up 6.9% YoY. Non-GAAP operating income was $607.2 million with a 34% non-GAAP operating margin, compared with $348.3 million and 26% in Q3 FY 2025. Non-GAAP net income was $456.5 million, and non-GAAP diluted earnings per share (EPS) was $1.75, compared with $261.5 million and $0.97 in Q3 FY 2025.

“Our strong Q3 results show the power of our strategy in action, with total revenue growing 32% YoY to $1.8 billion, as customers sign bigger, longer-term commitments, and connect their teams and workflows on our AI-powered platform,” said Mike Cannon-Brookes, Atlassian’s CEO and co-founder. “Service Collection eclipsed $1 billion in ARR, and is growing over 30% year-over-year, as it continues to take share and reinforce our conviction in the long-term growth opportunity of the Atlassian System of Work.”

Atlassian Q3 FY 2026 Earnings Show Continued Cloud And AI-Led Expansion

Analyst Take: Atlassian used Q3 FY 2026 to tie AI adoption to measurable expansion dynamics rather than treating AI as a feature add-on. Management linked Rovo usage to higher customer growth rates and made a clear argument that context reduces AI cost by lowering token usage required to reach answers. The company also described meaningful competitive displacement in service management, with AI and faster time-to-value positioned as differentiators. The quarter also exposed revenue timing noise in Data Center as end-of-life dynamics and pricing actions pulled demand forward, which will matter for how executives interpret next year’s growth profile.

AI Adoption Is Becoming A Growth Multiplier

Management said it continues to add millions of monthly active users to Rovo, while AI credit usage is growing more than 20% month-on-month. The company also said customers using Rovo are growing their annual recurring revenue (ARR) at roughly two times the rate of customers not using Rovo. Atlassian positioned Teamwork Collection as the primary buying motion for AI, stating it provides ten times more Rovo credits versus the standalone subscription. Management added that Teamwork Collection customers use more than three times as many Rovo credits per user and have more than twice as many active agents. These signals suggest Atlassian is using AI packaging to raise attach and deepen product usage, not just to defend renewals.

Teamwork Graph And Jira Are Central To Agent Orchestration’s

Management argued that context makes AI outputs “better, faster, and cheaper,” with the cost point tied to using fewer tokens to reach an answer. The company positioned Teamwork Graph as the connective layer across knowledge, work, people, and code, and said it wants Atlassian context to appear inside and outside Atlassian surfaces. Management described agents as operating both natively in Jira and via third-party agent platforms, with Atlassian enabling orchestration through an open toolchain approach. The company also stressed that Jira remains central in an agent-driven work environment because it captures work history, permissions, audit trails, and governance alongside agent activity. Atlassian is trying to define the control plane for enterprise work orchestration, with context and governance as the stickiness layer.

Service Collection Momentum Is Driving Competitive Replacements

Management called out its largest-ever quarter of competitive displacements from a major IT service management (ITSM) provider. The company stated that 75% of the Fortune 500 use a Service Collection and that 60% of Service Collection customers use it outside of IT. Management attributed traction to faster setup, product experience, and the ability to use org-wide context to support service workflows, including employee service management use cases. The company also said it is early in customer service management, and it cited internal performance of more than 70% AI resolution rates across hundreds of thousands of conversations. Atlassian is positioning service management as a cross-functional system, not an IT-only workflow, which increases expansion paths into non-technical roles.

Guidance And Final Thoughts

For Q4 FY 2026, Atlassian guided total revenue of $1.65 billion to $1.66 billion, with Cloud revenue growth of about 25.5% YoY, Data Center revenue growth of about 8.5% YoY, and Marketplace and other revenue growth of about 6.5% YoY. For FY 2026, the company guided total revenue growth of about 24.0%, with Cloud revenue growth of about 26.5%, Data Center revenue growth of about 21.5%, and Marketplace and other revenue growth of about 6.5%.

The guidance reinforces a model where Cloud and AI-led expansion remain the primary growth engines, while Data Center growth normalizes as pull-forward effects unwind. The linkage between Rovo adoption, higher ARR growth, and increased credit usage suggests Atlassian is successfully translating AI engagement into measurable revenue expansion.

See the full press release on Atlassian’s Q3 FY 2026 financial results on the company website.

Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.

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Author Information

Futurum Research
Futurum Research

Futurum Research delivers forward-thinking insights on technology, business, and innovation. Content published under the Futurum Research byline incorporates both human and AI-generated information, always with editorial oversight and review from the expert Futurum Research team to ensure quality, accuracy, and relevance. All content, analysis, and opinion are based on sources and information deemed to be reliable at the time of publication.

The Futurum Group is not liable for any errors, omissions, biases, or inadequacies in the information contained herein or for any interpretations thereof. The reader is solely responsible for any decisions made or actions taken based on the information presented in this publication.

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