The race to define what an AI project management platform looks like at enterprise scale is well underway, and Asana wants to be the company that wins it.
On March 2, the San Francisco-based firm posted fourth-quarter revenues of $205.6 million, up 9% year over year, with margins improving sharply and free cash flow up 108%. But the more interesting question is what Asana is building underneath them: a coordination layer for enterprises deploying AI agents, one that it argues no one else is positioned to provide. FY27 will be the test of whether that argument holds.
Asana Q4 FY2026 Earnings: Revenue and Margin Highlights
For the full fiscal year, revenues reached $790.8 million, also up 9%, while adjusted free cash flow surged to $84.5 million: up from $2.6 million in FY25. Non-GAAP operating income turned positive for the year at $56.7 million, compared to a loss of $40.8 million twelve months prior.
Non-GAAP operating margin reached 9% in Q4, a 10 percentage point improvement year over year. CFO Sonalee Parekh attributed the gains to a shift in how the company allocates spend:
“Our profitability improvement continues to be driven by operating leverage, reallocating spend to the highest ROI go-to-market motions, optimizing infrastructure and cloud costs, and exercising discipline across discretionary spend.”
AI Studio ARR Growth: The AI Revenue That’s Already in the Numbers
The AI momentum most clearly reflected in current financials centres on AI Studio, Asana’s no-code builder for embedding AI reasoning directly inside workflow architecture. It finished FY26 with over $6 million in ARR, growing more than 50% quarter-on-quarter in Q4, with eight customers across North America, EMEA, and Asia-Pacific now spending over $100,000 on it annually, on top of their core subscriptions. According to CEO Rogers:
“Customers are embedding AI Studio into business-critical workflows such as campaign launches, project intake, and service ticketing, where human and AI collaboration accelerates coordination, reduces cycle times, and improves execution quality across teams.”
E.ON Next used AI Studio to automate project intake and triage, increasing request capacity by nearly 500%. A UK fashion and home retailer deployed it to streamline a new “SKU-to-factory” workflow across global teams. Rogers also noted that one of the world’s leading AI labs now runs its compliance, finance, product, and engineering coordination through Asana, using AI Studio to automate elements of its risk register.
What Is Asana AI Teammates and When Will It Launch?
The next phase of the platform is AI Teammates: agents that work directly inside Asana workflows alongside human team members, drawing on the company’s Work Graph for persistent context and governance. Over 200 customers are in the beta programme. Rogers’ pitch is that this is structurally different from bolt-on AI tools:
