# UiPath posts profit on agentic AI gains > Source: > Published: 2026-05-29 02:50:11.441390+00:00 # UiPath posts profit on agentic AI gains UiPath reported quarterly revenue of **$418.4 million**, up **17%** year-over-year, and a return to profitability with net income of **$22.5 million** for the quarter, reversing a **$22.6 million** loss a year earlier, according to SiliconANGLE. The company reported earnings before certain costs such as stock compensation of **$0.15** per share, short of Wall Street's **$0.16** target, per SiliconANGLE. Founder and CEO **Daniel Dines** said agentic products are moving from pilot to production and cited **$1.901 billion** in annual recurring revenue, growing **12%**, in comments reported by SiliconANGLE. SiliconANGLE also described the launch of **UiPath for Coding Agents**, which combines third-party coding agents like **Cursor** and **Claude Code** with UiPath's visual orchestration platform. SiliconANGLE described investor reaction as unimpressed despite the revenue beat and profitability. ### What happened UiPath reported quarterly revenue of **$418.4 million**, a **17%** year-over-year increase, and net income of **$22.5 million**, reversing a **$22.6 million** loss from the prior year, according to SiliconANGLE. The company reported earnings before certain costs such as stock compensation of **$0.15** per share, slightly below the Wall Street consensus of **$0.16** per share, per SiliconANGLE. SiliconANGLE reported that annual recurring revenue reached **$1.901 billion**, a **12%** increase, and included direct quotes from Founder and CEO **Daniel Dines** about agentic product adoption: "One year into general availability, our agentic products are moving from pilot to production with customers standardizing on UiPath as the orchestration and automation execution layer for their enterprise AI transformation," and "The launch of UiPath for Coding Agents marks the next step in that journey, accelerating time to value, and driving the deeper platform adoption that reinforces our position as the long-term business orchestration and automation platform for enterprise AI," both cited by SiliconANGLE. ### Technical details SiliconANGLE described **UiPath for Coding Agents** as combining third-party coding agents such as **Cursor** and **Claude Code** with UiPath's visual agentic orchestration platform to enable builders to create, test, deploy, operate and govern coding projects with the agent of their choice, per the article. SiliconANGLE also reported that on a conference call Chief Financial Officer **Ashim Gupta** noted "strong and rising demand for its AI agents and orchestration tools," as paraphrased in the coverage. ### Industry context Editorial analysis: Companies integrating generative and agentic AI into enterprise automation are increasingly focused on orchestration, governance, and making models operational at scale. Firms that move agentic workflows from pilot to production commonly face increased needs for observability, policy controls, and lifecycle management for multiple third-party agents. ### What to watch Editorial analysis: Observers and practitioners will monitor whether revenue and ARR growth sustain as agentic offerings scale, how customers adopt multi-agent orchestration versus single-vendor stacks, and whether market reaction (described by SiliconANGLE as unimpressed) aligns with longer-term adoption signals such as large enterprise deployments and contract expansions. ### Bottom line UiPath posted a notable revenue beat and returned to profitability in the quarter reported by SiliconANGLE, while public market response was muted in the coverage. The quarter highlights the operational and governance questions enterprises face when moving agentic AI into production, even as vendors push orchestration and integration features into their platforms. ## Scoring Rationale This is a notable earnings update showing revenue growth and a return to profitability tied to agentic AI traction, which matters to enterprise automation practitioners. The story is company-level and not a frontier-model or industry-shaking event, so its importance is moderate. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)