Atlassian (TEAM) Q1 2027 earnings call transcript

I will now hand the call over to Martin Lam at Atlassian's head of investor relations. Welcome to Atlassian's first quarter of fiscal year 2027 earnings call. Thank you for joining us today. On the call with me today, we have Atlassian CEO and co-founder Mike Cannon Brooks, Sir James Chong. We are today, we publish the shareholder letter and best release with our financial results in commentary for the first quarter of fiscal year 2027. The shareholder letter is available on the investor relations section of our website where you will also find our other earnings related materials, including the earnings, press release and supplemental investor data sheet. As always, our shareholder letter contains management's insight and commentary for the quarter.

So during the call today, we'll have brief opening remarks and then focus our time on Q&A. This call will include forward-looking statements, forward-looking statements involved known and unknown risks on certainties and assumptions. If any such risks or uncertainties materialize or if any of the assumptions prove and correct, our results could differ materially from the results expressed or implied by the forward-looking statements we make. We should not rely upon forward-looking statements as predictions or future events, forward-looking statements represent our management's beliefs and assumptions only as of the date such statements are made, and we undertake no obligation to un-update or revise such statements should they change or cease to be current. Further information on these and other factors that could affect our business performance and financial results is included in filings we make with the Securities and Exchange Commission from time to time, including the section titled risk factors in our most recently filed annual and quarterly reports.

During today's call, we will also discuss non-gapped financial measures. These non-gapped financial measures are in addition to and are not a substitute for or superior to measures of financial performance prepared in accordance with GAP. The reconciliation between GAP and non-gapped financial measures is available in our shareholder letter and earnings release on the investor relations section of our website.

We'd like to allow as many of you to participate in Q&A as possible, so out of respect for others on the call we'll take one question at a time.

With that, I'll turn the call over to Mike for opening remarks.

Thank you all for joining us today. Now as you've already written our shareholder, we had a great start to fiscal 2027. Total revenue grew 24% to $1.8 billion. Cloud revenue grew 31% to $1.3 billion and subscription our grew 23% to $6.8 billion. We also delivered GAP operating margin of 11% and free cash flow of $463 million, an increase of 304% year on year, representing a free cash flow margin of 26%. These results reflect strong customer demand and execution across our big strategic priorities of enterprise, AI, and the system of work. Our continued focus on driving durable, profitable growth. Customers are bringing more people, more agents, and more workflows onto the Atlassian platform, and they're making larger and longer-term commitments.

This quarter, Infosys, SAP, Workday, and Westpac are just a few examples of global enterprises that expanded greatly with us, standardizing how their teams collaborate, operate, and execute business processes on the Atlassian platform. You can see that in our RPO, which grew 44% year over year to $4.7 billion, and customers spending more than $1 million a year grew well north of 30% year over year. In the cloud, we saw continued strong seed expansion in Jiren Confluence, along with strong cross-sell into our collections. More than 3,000 customers have now upgraded to the teamwork collection for expanded rovo credits and platform capabilities.

That's a 7x increase year over year. The service collection has now surpassed 70,000 customers, with our R continue to grow over 30% as we continue to take market share.

What makes our system of work variable in the AI era is a combination, a unique combination, of context, collaboration, and confidence. With context, yes, models are getting smarter, but to be effective at work, they need to understand and organizations' goals, knowledge, people, decisions, and history. The teamwork graph now connects more than 250 billion objects and relationships, and extends across customer third-party tools to more than 80 out of the box connectors. That context can translate into real value for our customers.

Customers with a richer teamwork graph are twice as likely to become deep rovo adopters, and deep adopters grow ARR more than twice as fast as customers would like rovo usage.

Teamwork collection customers are running twice as many agents, while expanding their year-end confluence seats much faster than standalone customers. Next, to collaboration. At Team26 Europe, we introduced our Agentic MultiPlayer protocol, or AMP, as a collaboration layer built across the Atlassian platform, not as a separate product the customers have to buy. It helps people and agents work together with shared context, clear identity, attribution, and governed authority. More than 10 million human agent collaborations now happen on our platform every month, double the level of six months ago.

To learn more about AMP, I just shared a loom on our investor relations website. And finally, to customer confidence. As agents take on more work, enterprises need visibility, security, and governance of where that work is happening. We continue to build those controls into our platform so customers can scale their AI responsibly. More than 87% of our enterprise cloud customers are now using rovo, and our larger, longer commitments show how deeply customers are investing in this foundation.

Overall, we're executing extremely strongly our strategy from a position of strength. We're seeing this play out again in our results. I'm super excited about the year ahead. Connecting agents and humans on the Atlassian platform will continue to unlock huge value for our customers, and we're extremely proud to be building for that future.

With that, I'll pass the call to the operator for Q&A.

Thanks for the question, Ryan. Yeah, I think just starting on the overall performance on the data center side, as we continue to see customers migrate over to the cloud right now, we're seeing some of the largest, most complex customers. One of the things that we're in the quarter right now is really strong retention. And a big part of that is obviously the cloud roadmap that we have, but also the commitments that we're making, for example, in areas like the public sector opportunity. We talked about submitting for IL-5 or impact level 5 authorization six months early, had to schedule for July 2028 FedRAMP high authorization submission in January 29 to follow that, and then submitting for rovo and AI on our Atlassian government cloud platform in June 2027.

So I think what we're seeing is that in that commitment that we're making to our customers here, we're really being rewarded by some of the high retention rates that we're seeing, and that's outpacing even our expectations here. So really pleased with what we're seeing on that side of it. And I'll also note that right now data center migrations to cloud are distributed approximately mid to high single digits to cloud revenue growth.

But in terms of one of the areas where we want to make sure we meet our customers where they are commercially, is to make available for them hybrid deployments in particular in Q2. There were a number of very large customers in the quarter who, as part of the migration journey, signed cloud migration commitments through these hybrid deployments that enable them to migrate to the data from data center to cloud over a multi-year period. So those are the great customers are deepening their commitment to Atlassian. They see cloud as the final destination, and because we don't charge customers twice on these hybrid deals, hybrid deployments did split revenue between data center and cloud. And as a result, that meant slightly more revenue on data center and slightly less on cloud this quarter.

But if you zoom out, the key takeaway here is that the largest, most complex customers are moving ahead with their multi-year journeys to cloud, where they can really unlock all the benefits of the Atlassian platform.

Yeah, Ron, I guess I just add on a little customer color from my point of view. We've spent nine on a decade now managing these migrations between server and then data center to the cloud. Having had more than 100 customer conversations in the last quarter, well over 100, I would say, the customers are very excited about what we've built in the cloud. They continue to be so. They see the value of AI. It is a big catalyst beyond all the enterprise and compliance and infrastructure improvements that James talked about to driving that momentum forward. We landed some very big migrations during the quarter, and we continue to work on them for the quarters ahead. So I would say the customer feeling and drive towards the cloud remains incredibly strong as they see how powerful, what a huge upgrade the cloud platform is from where they are in data center.

Thanks Fatima. Great question. We've often agreed on things in the past. I'd have to say we disagree on this question personally.

The value of Juron confluence or coordination in the AI era is even stronger than it has been in the past. I think this is often mistaken, right? In fact, we shared an example at Team 26 at Europe where Morgan Stanley, somewhere on the call, announced they're moving their Juron confluence to the cloud at large scale and rolling out robo to thousands of users.

And the main reason to turn even more so to the IT platform than they have been before as a longtime customer is for their software development and to get a better view of what's happening across their teams and to connect their technology teams with their business teams, which is almost exactly out of our system of work playbook. I think there are multiple factors happening simultaneously when you talk about this. Firstly, it's about bringing all of that agent work into a collaboration platform. The human role is incredibly important in intent in applying intuition and understanding and guiding and handling exceptions in initiating work. So we shipped a whole series of features about agentic sessions coming into JIRA at Team 26 Europe and they were incredibly positively received.

There's no doubt the amount of work happening is going to go up precipitously so. The coordination tax of that then becomes even more so. If you're trying to understand 10 times as much work, you need to understand more coordination, more connections than you have been beforehand. The context that JIRAN Confidence provides of your history and your future are two of the most essential ingredients. We can see that. We know we're in the top handful of MCP servers of all of the major foundation labs and not just for reading but for writing as well as organizations continue to try to work out how to manage that across their systems. And lastly, as I said, it's about connecting those technology teams to business teams.

Increasingly that code writing which is incredibly exciting is being done by people in finance, by employees in marketing and HR and other areas. And so you have even more of a coordination challenge, a larger opportunity for us to connect technology and business teams than we've ever ever seen before. I believe you can see that showing up on our numbers today. Our customers would say that. You can see that in our seed expansion numbers being incredibly strong this quarter. Our RPO number again, accelerating to 44.5%, this quarter reflecting just increasing longer and larger commitments from customers going out multiple years as they see the value of the Atlassian platform and the context we have in the teamwork graph and that collaboration happening across multiple teams.

Be that in the service collection or be that in the teamwork collection or the software collection. So we're incredibly bullish on our role in the in the AI future. And that's before we even get to AMP, which we've talked about and I recommend watching the Team 26 keynote or the room that I just shipped today.

Thanks, Matt. Look, I can talk to our FDA motion. Firstly, I would encourage as I encourage all customers and I encourage all investors, all FDEs are not built the same.

RFDEs are fully qualified AI and ML engineers who are writing full production customer code and product code at the customer site. So they're trying to help customers to get their AI motions moving to get workflows moving onto the platform. We have had that different to some other places where they're re-badged customer success staff, et cetera. It's extremely hard to scale that program fast. As you can well appreciate, those are very rare individuals. RFDE program, though, is going extremely well. Couple of quarters in now. We are working with many, many large customers on helping them get more value from AI. They bring processes and improvements that they want to see. RFDEs help them connect the teamwork graph.

They help them explain to engineers and staff at the customer sites how they can continue to roll the Atlassian platform out across more and more of their world, how they can continue to build out their ontology into the teamwork graph and how that yields better results with rovo, with coding agents, with service agents, et cetera. So still early in the program for us, the goal is delivering AI usage and leaving the customer with a trained group of people who can then continue that rollout by themselves, who have confidence in forages and extensibility platform and the teamwork graph in our connectors and everything that exists in the Atlassian platform. It's been going very, very well. Again, our goal is not building a service business.

These aren't professional services, folks. They are rarely ever charged for, so it's pretty different to what other people are doing in terms of professional services and customer success. Lastly, I will say that philosophically, we are seeing great speedups in our ability to build product with FDEs. So increasingly, we are doing more and more core software engineering at the customer site. That is very unique. It's an ability of our platform and our really world-class R&D organization to be doing this.

It helps speed up the customer request to deliver a loot incredibly fast. It's something we're very bullish on. We'll probably talk more about that in the coming quarters as we keep accelerating in the program.

Thanks, Adam. I will answer that. Look, a couple of things. I think the right to orchestrate managed compliance agents, et cetera, that's a very broad term. So the reason you're seeing a lot of companies say things like this is it means a lot of different things to a lot of different customers. I can only talk about what it is that we are doing. If you talk about what, I don't know, an octa or a workday or someone else is doing, it's very, very different, even though the words may sound the same and part of the problem is just everyone's saying agents a lot. We're trying to show in two different places, I think, incredible differentiation uniqueness.

So the first I would point to is AMP. We are trying to bring agents into customers' workflows, structured or unstructured workflows into their collaboration. That collaboration happens an awful lot on the Atlassian platform, inside platforms or inside service management. It happens an awful lot off the Atlassian platform. That may be in a partner app like Figma. It may be in a command line tool like Codex.

All of that is contributing to your collaboration and your workflows. What we're doing in AMP is bringing you a set of experiences, really highly designed experiences, which are truly unique in the world today, as well as bringing all the technological standards, so your MCPs, your ATAs, all the technology standards that are underneath AMP and bringing them that in a very human-centric way, so that you can quickly roll out the agentic use cases in ways that are understandable, and whether your staff are operating on or off the standing about what is happening. So when we talk about traceability and accountability, it is saying that people can see where a human has done something, where an agent has done something on behalf of a human, and if so, who it was on behalf of, if it's just agents operating by themselves, which does happen quite a lot, and if you need to pull other SaaS applications or other agents in, no matter whether that's on or off the Atlassian platform, it's understandable.

It was incredibly well received by Customs at Team 26 Europe, because it's trying to bring the humanity, the design and experience, and the power of the agentic world together into understandable experiences, cross-jira, compliance learning, etc. So we are super bullish about that. It's very, very unique and very different to what is happening elsewhere. We do have a lot of agentic governance features focused more on agents in the Atlassian platform. So when you're building robo agents, customers need to be very clear on the controls, the cost measures, the permissioning and the compliance of those agents. We continue to improve that, we shift non-human identities, for example, and where those agents can get to our world with MCP servers and the CLI.

Again, there's a lot of controls, but that's not so much of a control at the orchestration layer overall. You can see that's going really well, I would say, more than 10 million human agent interactions. MCP servers pass 2 million now, 15 million tool calls. So all of the numbers are going in incredibly rapid pace in the right direction. But with our goal of helping you collaborate across those business processes everywhere that you speak to, and we really think it expands our opportunity as we continue to win more and more workflows and business processes across all the types of teams from leadership teams to service teams and everyone to be in between. How that shows up in the incredibly important, I believe, and letting us harness the best of all of those models.

So it's a pretty unique viewpoint, I think, but it's very customer-centric and customer-driven.

Yeah, thanks for the question, Greg. Yeah, look, I think from the starting point of what we saw on Q1, we were really pleased with the performance that we saw across that cloud business. As I mentioned a little bit earlier, sustaining north 30% year of year growth, and really strong NRR sort of once again here. So, on what we're seeing here and what we're anticipating is the continued momentum on cross-sell. We saw that service collection in Q1 against across 70,000 customers at a billion dollars of ARR growing north of 30%. And in terms of seat growth from competitive displacements, that was up over 40% year over year. So I think we feel really good about what we're seeing there.

And as it relates to the teamwork collection, over 3,000 customers, 7x year over year now. And again, still remains the best way for us to help customers adopt and unleash AI across the entire Atlassian platform. When it comes to the guide here, I think we're still early in the year. And we're going to continue to take a thoughtful and prudent approach here, balancing the momentum that we're seeing in the business with RPO at 44%, CRPO at 28%. And balance that with the uncertainty around the evolving dynamics in the macro environment, fiscal policy, geopolitical landscape. So again, going to continue to take a prudent approach here. In Q2, we'll begin to lap the DX acquisition. And in the second half, we'll begin to face some tougher comps given the acceleration that we saw in the second half of fiscal 26.

And of course, we're still scaling our enterprise go-to-market sales motion to unlock the massive opportunity that we have here. We're an 85% of the Fortune 500, and that represents really just about 10% of revenue. So a ton of opportunity is still ahead of us, and for us to continue to invest and scale the capacity on the enterprise sales side. If you look at our million-dollar customer plus cohorts, continue to grow north of 30% year over year. And at the same time, as the business continues to mature, especially on the enterprise side, do expect to see a little bit more predictability in the business and the forecast. And that's just a natural evolution as we mix shift towards more annual and multi-year deals.

But all up, feel really good about the state of the business coming off the quarter where we posted really strong RPO subscription, ARR growth at 22.5, and Cloud revenue growth is still north of 30%.

Thanks, Alan. Great question. There are a lot of things I would say here. Let me try to put it into a concise answer for you. Overall, the feedback we're getting from customers is ranges from excitement to queries about how we are doing so well, which is a great question to get from customers. Rovo continues to massively outperform other AI systems or services that they are using. And we hear that consistently from customers to credit to our engineering team.

All of the layers from the platform through the teamwork graph, through the search and Rovo and chat capabilities and the integration into our products, our agent capabilities, so when you're building agents with Studio, these are truly, truly world-class and fantastic and deliver amazing results. And we hear that over and over again from customers. When I say skepticism, the question is like, how are you doing this when X can't or I tried Y and it doesn't work as well as Rovo, why is that? I love those sort of questions. The answer is we have a kick-ass engineering team.

We've invested very heavily in the fundamentals and the architecture. We have a great ability to use models in harness them and we have amazing organizational context. We have the best enterprise context graph in the world and it continues to grow and gets stronger as you saw. We just added assets and agentic sessions and more and more inference that we run on top of that graph to fundamentally get better answers to agents. I think we're seeing that in the pull-through from customers. Our AI numbers are fantastic. Agentic automation is up 9X year-on-year, now more than 10 million a month. 15 million tool calls from MCP a day. We just shipped only a few weeks ago a V2 of our MCP server which greatly reduces token usage, has hundreds more tools and availability.

The ability to create work, to manage work on the Atlassian platform to handle business processes and workflows from incident management and service to HRSM all the way through software teams and strategy people managing their goals and processes.

Agents are able to use the Atlassian platform and humans are able to understand the agents that are using the Atlassian platform and interact back and forth with them and that's what we want to do. I totally think the subway station analogy or being part of the subway network, that's where Atlassian is philosophically done well in the past. It is where we build deep and meaningful customer relationships. Our goal is to help you get things done as a customer. It is not to be in control of your world, it's your world. I think that's landing really well and you can see that in overall customers using Atlassian's AI technology, the deep rovo users are growing twice as fast as those that aren't and obviously we're adding to the pile of customers that are using AI heavily on a continued basis.

Part of the reason we feel incredibly bullish about the future, I will say it's very easy to claim these things about AI. I tell every single customer, put us to the test, take our team work graph, take our context graph, assess us against other people, I'll send you FDEs, I'll send you people to help, we will win that head-to-head battle, test us. Secondly, don't believe everything you read in marketing and for many vendor at the moment, test it. There's a lot of claims being made about agents and this and that and we are asking customers to prove to themselves that we can do what we say we can do and we stand behind all the engineering and the deep architectural and R&D investments we've made.

This stuff is really hard. This stuff is not simple to build, certainly not to scale to incredibly high levels of throughput. When you add compliance and governance, hundreds of millions, if not billions of objects being processed simultaneously to try to grow great answers. We have a truly unique AI platform and it goes all the way up to the design experience of how users use it. I will say I feel incredibly bullish and I would tell every customer, test this, we'll stand up against anybody.

Now, and just to answer your question there, we haven't broken up that color, but I would just characterize it as modestly less than what we had expected in terms of impact. I'll just point you again to overall DC migrations to cloud contributed that mid to high single digits to cloud revenue growth this quarter.

If you look at the cloud revenue beat of 20 million, we're flowing slightly more than that through the entire year there. And the mix that you're seeing, marketplaces also flowing through as well. It's really the data center side. So if you recall, the data center beat in Q1 is 33 million. But again, there's some timing effects related to the pull forwards of ASC 606 on the Rev Wreck. So that's why you're not seeing the full total revenue flow through from the Q1 beat through the year. So it's really timing mechanics related to that.

Hey, coach, I'm going to guess that I'm taking that one. I see them as sort of two layers. It gets a little nuanced and detailed here. The teamwork graph is the fundamental context layer underneath AMP and the Atlassian platform, and increasingly a lot of customer usage off the Atlassian platform. So that is taking all of your knowledge, your work. We're now semantically indexing the entire code base if you want us to, to give all of your agents fantastic answers and help them get the right information, getting high quality answers, significant token savings.

And we are continuing the teamwork graph to do more and more inference on your knowledge to pull out objects that exist. So we can now infer things like projects and teams that aren't actually specified as objects, but we can see people working together. We are looking increasingly at inferring other things. So, for example, we showed demonstrations of taking any agentic session that is in the teamwork graph and pulling out learnings to contribute to the very next session. So that's all about helping any agentic use case, any search use case, whether that's human search or anything right that way. The teamwork graph is a large-scale knowledge graph, an ontology of everything your organization brings, highly customizable through forge, through assets, through lots of other technologies to get that data layer in a very AI specific way with an incredible search engine and an incredible graph query engine, which are a little different, but both gives great answers to agents and agents are able to use them.

And think about it as more at the interface level for humans. It's more about experiences and designs. How do we bring all the agents that you're using on and off the Atlassian platform into workflows in ways that humans can cooperate with. Now, underneath AMP are a lot of technologies. So the teamwork graph, yes, MCP, A to A, so agent protocols to other tools, we're trying to bring that all together into a package. Again, maybe an interesting analogy. When you use the first iPhone, you didn't care about GPRS and GPS and 5G, third-generation Wi-Fi, 2.4 gigahertz, all the technology standards were hidden inside the phone and just make a simple experience for you to use between Safari, between your phone, between mail, etc. And as about bringing all those agentic experiences into our products and off our products and dealing with the modalities of how agents and humans are going to come together.

So think about it more as an experienced layer that is across the Atlassian platform, but also helps inform third parties and how others will use our platform as well. So it builds on top of the teamwork graph. A long-term opportunity, you asked about that. I think it continues to expand our long-term opportunity greatly. I think we are, again, durable, profitable growth is about continuing to deliver for customers in every single one of our teams, leadership teams, service teams, technology teams, business teams, product teams, showing how we can deliver incredible value across more workflows, more business processes, structured and unstructured across your organization, and between the Atlassian platform and all of the other technology tools that you use.

We are seeing that in customers as they understand how to utilize agents. Again, we have incredibly high AI usage on our platform because of things like AMP. Customers see that and then they bring more workflows onto our platform. Many of the customers I spoke to this quarter are massively increasing the number of workflows they run through the Atlassian platform, right? In the service collection space, moving off legacy vendors onto the service collection because of our AI features and not just sort of will run your service tickets cheaper, but the way your agents are going to interact with that platform, how it all flows through, and how service is integrated into the broader Atlassian platform to connect to your technology, business teams, and others.

I think it's obviously we're investing very heavily in it, both the team of graph and AMP, because I think it shows a large and multi-year expansion opportunity for us.

Hi, Rob. Yeah, let me talk to that. Look, the headline I would say is, as we've said repeatedly, and I hope it's coming through, the teamwork collection and slightly less the service collection are the primary ways that we think about monetizing AI today. You get a largely increased token usage or credit usage, so you get 10 times as many credits in the teamwork collection. It's now over 3,000 customers up 7x year on year, and those customers are running twice as many agents. They're growing their seats significantly faster than non-timo collection and non-AI deep usage customers, so that is our major motion, we believe, for delivering customer value and then getting that value back for Atlassian in terms of monetization.

That is really, really important that is understood that continues to be our way. We are shipping a bunch of usage based pricing or UVP features with enforcement bringing beginning in early December. We are talking to customers about that for a long time. That's about aligning value delivered, especially for extreme customer usage. It is not a near-term revenue driver. We'd be very clear about that. In our guidance, we do not expect that to be a large revenue generation activity. We are focusing on monetization efforts or continuing to grow to the previous question to code use question, bringing growing your long-term opportunity of more and more workflows running on the Atlassian platform through Tumor collection and service production.

UVP is about meeting customers where they're at. We're getting increasing questions around pricing and packaging, around controls, around understanding what that usage is, how they understand their credit usage, who's using it, which agents, which staff members, how that's flowing through and where they're getting value for that. We continue to see that in lots of different places in automation, in rovo credits, in index objects, in Tumor graph queries. There's a lot of different meters inside usage based pricing. Again, we're not assuming any meaningful UVP revenue in FY27 at the moment. We're obviously continuing to work with customers help them with their understanding. We've been very happy with the controls and offerings that we're showing today. Again, our goal is to have very generous credit usage.

Two other things I wanted to say on the back of that, I think I've given huge credit to our finance and engineering teams. Our gross margins continuing to grow despite massively increased AI usage. That's a non-mean feat. That's an incredible achievement from those teams. To 85.2%, strict descent year and year with AI usage greatly expanding. That is our platform investments paying off. That is very strong collaboration between our finance and engineering teams, our infrastructure teams on how we are blending models, how we're helping improve the token efficiency of AI features that we are delivering to customers, improving quality and costs simultaneously. Our gateway continues to be there. We continue to show incredibly high quality in rovo chat, despite cost per chat coming down on a continual and ongoing basis.

That's a huge credit to the team to do both of those things simultaneously. Having the long-term opportunity to grow customers in their workflows while expanding gross margins and delivering a significant AI value to customers in the core packages and similar collections. Those customers continue to grow really strongly as I said.

Rob, I would just add to that. As Mike mentioned a little bit earlier, from an AI monetization perspective, what we hear from our customers is that they're looking for predictability and they're looking for the ability to load balance those tokens. I think we sort of see this in the customer journey as they upgrade from standard to premium to enterprise additions. They're receiving two to three times more rovo credits at each turn. Ultimately, as they upgrade to team work collection, getting 10x more rovo credits. We're seeing that in our ARPOO uplift. We're seeing that in the seed expansions as well as customers continue to consolidate on that platform. Again, it's important to meet customers where they are, but we really like the traction that we're seeing here.

Thanks, Ajahn. How would I think about that? Look, I would say at the headline, there's a lot of parts of that question. When we talk to the headline, I think demand is extremely healthy. So we're seeing strong demand at the SMB level and at the enterprise level. We continue to see strong seat expansion that's very broad based business team, software team, service teams, which is, I think, excellent and reflects the, maybe not the thinking about growth as you ask, but the where that demand of growth is coming from.

Again, we're a very patient and durable company in terms of building out real deep customer value over time. You can see that in our subscription hour at 22.5%, cloud growing north to 30%. As James mentioned, net retention, again, staying extremely strong, well over the 120 mark and obviously RPO at 44%. So very strong future growth indicators, I would say, and demand continues to be healthy. I think we're seeing extremely strong, I'm not sure where we talk about net new customers. Again, we have an awful lot of customers that the 10K customer number and overall customer numbers continue to grow strongly. We're seeing very strong momentum, for example, in both collections. So we talked about 10 more collections of 3,000 customers up 7X and service collection now past 70,000 customers where they are growing north of 30% and strongly taking shares.

So not necessarily net new customer opportunities, but existing customers continuing to grow strongly. There are many, many, many workflows and processes within our existing customer base that are not currently on the Atlassian platform. And that's where those customers are expanding and bringing more workflows onto the platform. That continues to be an extremely healthy demand flywheel. That way you continue to deliver on features to bring in there. Customers north of 3 million go growing at over 50% year on year rate, and those at 5 million level growing at 70% year on year rate. So certainly at the enterprise end, I think you can see very strong, healthy customer growth, resulting in monetization as they bring more and more workflows on.

And we continue to improve, I will say, like how we do that. So you're seeing all of that in lots of different places. I think Dura's role is incredibly important in that world going ahead. Structural workflows are very important. I think you're seeing more and more customers adopt a team of collection to get loom and confluence to get projects and goals in some of the platform applications as those workflows incredibly, increasingly become unstructured as well as they bring agents into those workflows. So I'm incredibly bullish on our opportunity for growth going forward. I hope you can feel that in here that.

Yeah, thanks, Diet. No, you know, I would just say that and reiterate that our migrations continue to be on pace. You know, our customers are incredibly excited about the value they can unlock there, right? We talked about it earlier. ROVO threaded throughout, teamwork, graph, all of the collections, and we see that in customers that move from data center to cloud, right? Three years hence, they're increasing their spend 1.75x. And so we feel really good about the migration pace that we're seeing right now. But again, it's important to make sure that we're meeting our customers where they are. And I also reiterated earlier that for the quarter, mid to high single digits in terms of contribution to that cloud revenue.

So, you know, all up, I think the announcements that we're making around the public sector side is just a recommitment to our customers and making sure that they have the visibility that we're going to be able to unlock all of that value for them as they continue to migrate.

It's hard for me to just add and thank you to the amazing people of the last year's government numbers. I've seen more than 100 customers in the last quarter in more than 11 different countries in four different continents. So, I have a lot of customer detail and knowledge about these types of questions, right? I think one of the things that give me the most strength on data center, we talk a lot about customers talking about when and not if. I also think our history of delivery is incredibly impressive for those customers. Many customers who I saw a year ago or two years ago see the progress we've made in isolated cloud, in government cloud, in European data residency in various ways.

I've been in Singapore, I've been in India, I've been in America, lots of countries in Europe, and whether that's in financial organizations, IT, telecommunications, large-scale automotive, all of those customers see the progress we've made, our delivery on the platform, and it's great that they see that, it's great that they're heading in the right direction. I think importantly it's their faith in the delivery going forward that is important and the realization of how difficult that is to do. Delivering large-scale AI solutions that a European data resident with amazing design and experience on top, connected to the best teamwork graph and doing that all with bringing around key encryption, for example, and meeting various different standards. That's incredibly hard.

I think that's a big moat for us. It's a big challenge for others to build at that scale and delivering a set of workflows that we're delivering. That's why customers are adopting more and more of the platform as they move more and more workflows fundamentally. You can see it look, the 44% RPO number is incredibly strong, continued to grow from last quarter, we've had a series of strong quarters there, and 28% in current RPO as well, so that doesn't happen without recognizing that the value of that overall platform to continue to deliver for all of those customers around the globe. It's very exciting.

I will now turn the call over to Mike for closing remarks. Thanks, everyone, for joining the call today. Thanks for those who came to 1026 Europe a couple of weeks ago. I appreciate all the thoughtful questions and continued support. We'll continue to get cracking through fiscal 2027, so thanks to the last ones out there, and everyone else have a kick-ass day and kick-ass weekend.