From the CEO
Fellow Shareholders,
We had a great start to FY27, and we’re set up well for the year ahead.
- Subscription ARR grew22.5%Y/Y
- Cloud revenue grew30.5%Y/Y
- RPO grew44.4%Y/Y
- Users of Rovo Agents have grown2Xin the last 6 months
- Rovo assisted actions per user up more than3Xsince the beginning of the year
Teamwork is evolving fast, and so is Atlassian. We're laser-focused on our priorities of AI, enterprise, the System of Work, and delivering durable, profitable growth. And we’re shipping at an absolutely cracking pace, putting new features in our customers' hands, week in, week out.
You can see the momentum in the business, as more and more customers are running their work on our connected platform. This quarter, Infosys, SAP, Workday, and Westpac all expanded with us, standardizing how their teams plan, build, and deliver on the Atlassian platform. Customers continue to add seats in Jira and Confluence, and they're adopting and
as they put more agents to work.
More than 3,000 customers have now upgraded to , a 7x increase from last year. These customers are completing 35% more work items per Jira user than those using Jira alone, and running twice as many agents. They're also growing their Jira and Confluence footprints faster than standalone customers.
surpassed 70,000 customers this quarter, with ARR continuing to grow north of 30% y/y. We're taking share from legacy vendors, with seat growth from competitive wins up over 40% y/y.
That’s the flywheel in action. The more of our apps customers adopt, from one to multiple to a full Collection, the richer the context the Teamwork Graph builds across their teams. A richer Teamwork Graph powers more valuable AI, and more value in AI brings more work onto the platform, opening up more opportunities to expand across our customer base. Each turn of the flywheel builds on the last, driving durable, profitable growth.
These results didn't happen by chance. They come from building the System of Work for humans and agents.
The System of Work for humans and agents
For nearly 25 years, we've helped teams plan, build, and move work forward. More than 350,000 customers, including 85% of the Fortune 500, have run billions of workflows on Atlassian. That's given us an unmatched understanding of how teams actually work, from how they make decisions, to how they hand off projects and get things done.
Now, teams are changing. It’s no longer just humans, but humans and agents working side by side.
Agents are a powerful multiplier. They help people move faster and take on work that was once out of reach. But more agents means more output, and more output means more complexity. The companies that pull ahead in the AI era will connect their people and agents on a trusted platform that helps them work together and manage that complexity.
That's what our System of Work delivers. Every business is ultimately a network of interconnected processes. How effectively people and agents execute those processes together determines what the business achieves. Our platform helps customers drive faster, more reliable outcomes by bringing together three reinforcing capabilities:
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Context that makes agents useful
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Collaboration that lets humans and agents work as one team on a shared platform
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Confidence to scale AI with the right governance and controls
Each one makes the others stronger.
Context
AI models are getting smarter every day, but context is what makes them useful at work.
Across billions of workflows, our platform captures the goals teams set, the work they take on, the knowledge they create, the decisions they make, the code they ship, and the outcomes they achieve. All of this comes together in the Teamwork Graph, a living memory of each customer's organization that no off-the-shelf model can replicate.
The Graph spans seven types of context: knowledge, work, people, communications, code, assets, and now, data. It maps more than 250 billion objects and relationships, up from 150 billion six months ago, and connects to more than 80 third-party tools out of the box. Customers are putting that breadth to work. More than 60% connect four or more types of context, which gives their agents a more complete picture of how work gets done.
Any agent or coding assistant can now tap into the Teamwork Graph via the Atlassian MCP Server and the Teamwork Graph CLI, and developers are taking notice. Atlassian’s Teamwork Graph CLI usage grew more than 250% month-over-month in September alone.
We're bringing context to the tools teams already use. We expanded our partnership with OpenAI, connecting ChatGPT and
Codex to the Teamwork Graph so teams get AI grounded in their real work. This strengthens Atlassian's role as the context layer and helps enterprises see real ROI from AI.
We're also helping customers get there faster. This quarter, we expanded our Forward Deployed Engineering (FDE) program to scale enterprise AI transformation. Our FDEs help connect more systems to further enrich organizations' context, build custom Rovo agents and automations, and streamline workflows across technical and non-technical teams. Expedia and Reddit are already seeing the value.
All this context is paying off for our business. Customers with a rich graph are twice as likely to become deep Rovo adopters, and those adopters are growing ARR more than 2x faster than customers with light usage. Simply put, the more customers connect, the more value they get.
“The power of AI isn’t just in parsing words. It’s in the graph. By connecting Rovo to our entire ecosystem, including Jira, Confluence, Slack, and Google, we’ve turned the Teamwork Graph into a real-time engine for delivery. Atlassian provides the context we need to make AI work for us. We’ve proven that a good model powered by Atlassian’s organisational context will always outperform the best model in the world working in a vacuum.”
Collaboration
The future of work isn't people and agents working in isolation, and it isn't agents replacing people. It's teams of humans and agents working toward shared goals, with clear ownership, visible handoffs, and shared context. It's AI moving from single-player productivity, to multiplayer teamwork across the organization.
That's why we introduced the Agentic Multiplayer Protocol (AMP) at Team '26 Europe last month. AMP is the multiplayer collaboration layer, built into the Atlassian platform, that lets humans and agents work together. With AMP, agents become visible teammates. Whether they're working on their own or on someone's behalf, they can create, review, collaborate, and act alongside the people they work with - in real time or asynchronously.
AMP works across Jira, Confluence, and Loom, apps like Figma and Microsoft Teams, and with agents like Claude,
ChatGPT, or custom agents built in-house. Every participant - human or agent - has a distinct identity, clear attribution, and governed authority, providing a full audit trail, so teams always know who did what. And because AMP runs on the Teamwork Graph, every handoff, review, and decision adds context back into the system.
Single player
Humans will continue to work solo but will still need to understand collaboration patterns, when reviewing work coming from other modes.
Delegation
The simplest human-agent interaction will be delegating work for an agent to complete.
Paired collaboration
Humans can collaborate 1:1 with an agent to get work done as a partnership.
Multiplayer
The most complex but most rewarding mode is true multiplayer, with many humans and agents working as one coherent team.
This is already happening at scale:
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Human and agents collaborate on the Atlassian platform over 10 million times a month, doubling in just six months.
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Rovo agentic automations are up 9x year-over-year, as organizations move from simple AI queries to automating their business processes and workflows across our platform.
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Over 2 million monthly active users engage with the Atlassian MCP Server, up 8x since March. Nearly half those users coming from enterprise customers.
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We’re seeing more than 15 million MCP calls a day, up 15x since March. Coding agents like
Codex,
Claude Code, and
Cursor are creating Jira work items, updating statuses, and moving work forward.
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After adopting our MCP Server, users create 50% more in Jira and 75% more in Confluence on average.
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98% of MCP users are also active on the Atlassian platform in the same month. Humans collaborating with their agents together on our platform. Agents aren't replacing our platform. They’re increasing engagement and amplifying its value.
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Customers using the Atlassian MCP Server are growing their ARR ~2x the rate of non-adopters.
Using Atlassian tools like Rovo and Loom, VodafoneZiggo increased AI adoption by 20x in five months, cutting duplicate work and boosting collaboration.
“What started with improving the way marketing works has grown into a new way of collaborating for the business, engineering, and tech teams. Rovo, Loom, and the Teamwork Graph allow us to bring information, people, and work together…
We are trying to connect business and technology together, trying to capture the information from all of these tools and then try to make sense of it, and then translating that input into understandable work items. In the end it's a chain reaction where Rovo is connecting these two worlds, and converting all the requirements into deliverables that can be consumed by our technology colleagues.”
Confidence
The more work agents can do, the more the system around that work matters because speed without control is chaos. As agents take on more work, enterprises need humans in the loop, with full visibility into where work is happening, who is doing it, and when to step in.
We've built the controls that let organizations scale AI with confidence while keeping it secure, compliant, and cost-effective. We're also helping them measure outcomes - what work is getting done, how quickly it's moving, where bottlenecks are forming, where human attention is needed, and what return they're getting. Enterprise customers are responding through larger and longer commitments to our platform, with RPO growing over 44% y/y to $4.7 billion and current RPO growing 28%.
This matters most in highly regulated industries, where customers need the speed of AI without compromising on governance and accountability. Today, more than 80% of highly regulated Cloud customers have Rovo enabled.
At our Team ‘26 Europe Impact Makers event, Morgan Stanley shared how they're moving Jira and Confluence to Cloud and rolling out Rovo to thousands of users. They’re turning to the Atlassian platform to modernize their software development and gain a clearer view of work across their technology teams.
“Atlassian Cloud is at the centre of the SDLC process for thousands of technology users across our organisation, and is a mission-critical part of our software development toolchain.”
Looking ahead
Context, collaboration, and confidence each deliver value on their own, but the real step change comes when organizations bring all three together. Context makes AI useful. Collaboration makes it multiplayer. Confidence lets it scale.
For customers, that means finding answers instantly, handing off work seamlessly, and moving from idea to outcome faster.
For Atlassian, it means durable growth. The more deeply customers adopt our System of Work, the greater the value they get, and the deeper they commit to our platform.
We spent two decades building the System of Work for teams. Now we're strengthening our position as the System of Work for humans and AI agents.
We've got the platform, the momentum, and the conviction. We’re incredibly excited for what comes next.