The company revealed that, in conjunction with major new computing deals with Google and Broadcom, Anthropic’s revenue exceeded $30 billion on an annualized basis as of early April 2026, more than tripling the operating rate of approximately $9 billion it reported at the end of 2025.
Anthropic’s official announcement clearly states, “Our run-rate revenue now exceeds $30 billion, up from approximately $9 billion at the end of 2025.” The trajectory behind the person is impressive. The company’s run rate was about $1 billion at the beginning of 2025, $4.5 billion by mid-year, $9 billion by the end of the year, $14 billion in February when it announced Series G, and $30 billion in April. Each milestone was achieved faster than the previous one. Chief Executive Dario Amodei repeatedly pointed out that the company had consistently underestimated its growth, saying it had been “always very conservative” on the business side and had made mistakes each time.
The company’s agent coding platform, Claude Code, is a particular standout, with run-rate revenue of over $2.5 billion as of February 2026 and weekly active users doubling since January 1st.
The expansion of enterprise customers tells the most important part of the story. When Anthropic announced its Series G in February, it noted that it had more than 500 enterprise customers each spending more than $1 million annually. That number now exceeds 1,000, doubling in less than two months. This is not an organic drift from marketing. This reflects a fundamental shift in how large organizations deploy AI. It’s being deployed not as a search replacement or productivity experiment, but as the core infrastructure of legal, finance, consulting, and communications workflows, where knowledge worker productivity delivers a measurable premium. Claude’s API market share grew from 12% in 2023 to 32% by mid-2025, overtaking OpenAI to become the leader in enterprise language models by that measure.
What Google and Broadcom calculate trading signals for
The timing of the computing announcement alongside the earnings disclosure is intentional. Anthropic is communicating to the market that there is a demand to justify infrastructure at a scale that few companies can access. The deal gives Anthropic access to approximately 3.5 gigawatts of TPU-based computing capacity starting in 2027 as an extension of the $50 billion U.S. AI infrastructure commitment announced in November 2025. Anthropic already runs workloads on AWS Trainium, Google TPUs, and Nvidia GPUs, matching each workload to its best chip.
What a $30 billion run rate means for the AI market
As reported by crypto.news, earnings signals from frontier AI companies are now key inputs for institutional investors evaluating whether ramping up AI is worth current infrastructure spending levels. As noted by crypto.news, the competitive dynamics between Anthropic and OpenAI have direct market implications for AI-adjacent crypto assets and broader perceptions of capital efficiency in the AI sector. While Anthropic projects to be free cash flow positive by 2027, OpenAI has pushed its breakeven target to 2030, but the structural gap is becoming more apparent on the revenue side.
