Anthropic Launches AI Spend Reporting Tools, Claims Q2 Operating Profit and 900% Net Revenue Retention
Anthropic releases new tools for enterprises to track AI ROI and discloses strong financial metrics ahead of its planned IPO.
Artificial intelligence lab Anthropic announced on Wednesday a new suite of reporting tools designed to give enterprise customers a more granular understanding of the value they get from their token spend. This move comes as the company plans an initial public offering (IPO) in November, aiming to demonstrate the sustainability of its business model and customer stickiness to investors.
According to TechCrunch, financial data shared by Anthropic with investors this week suggests that its AI coding tool, Claude Code, has achieved significant commercial success. The company recorded an operating profit in the second quarter, and reported a net revenue retention (NRR) rate of 900%. This means that spending from the same cohort of customers in Q3 2025 grew nine times by Q3 2026.
The new reporting tools use internal analytics and employee surveys to allow managers to view a team’s work over a given date range, what the team produced, how much it cost, and where its workflows broke down. Anthropic stated that it will not use this data for model training by default. Additionally, the company is creating pooled group budgets to help teams better manage token spending.
These features directly address concerns among large enterprises regarding the return on investment (ROI) of AI tools. While usage among venture-backed firms is driving token spend, most Fortune 500 companies have not seen major gains from deploying AI. Jellyfish, a company that makes tools for software developers, released a report yesterday based on the use of agentic coding tools by 276,000 of its customers. The report found that Claude Code and other tools built on Anthropic models remain the most widely used, responsible for nearly a third of all proposed code changes submitted for review. Spending on these tools has grown 10x since the beginning of the year, now equaling about 2% of total engineering costs.