- Anthropic’s annualized revenue run rate exceeded $65 billion by the end of July — up more than sevenfold from its end-of-2025 pace of roughly $9 billion — accelerating from $47 billion in May and confirming the company is growing faster than any AI lab in history, according to people familiar with the matter.
- The company reported preliminary Q2 revenue of more than $11.5 billion, compared to just $787 million in Q2 2025 — a 14-fold year-over-year increase — and posted positive adjusted operating income for the quarter, a milestone that signals the business is beginning to generate returns on its enormous compute and talent investment.
- Anthropic is now ahead of OpenAI on revenue trajectory (OpenAI recently crossed $40 billion), has eclipsed OpenAI in private market valuation (reaching $965 billion in a May fundraising round), and is expected to IPO as early as this fall — working with Morgan Stanley, Goldman Sachs, and JPMorgan — ahead of OpenAI and potentially ahead of China’s DeepSeek.
- The scale of Anthropic’s revenue acceleration — from $9B to $65B in approximately eight months — reflects the explosive enterprise adoption of Claude and Fable across coding, API, and consumer subscription channels, positioning Anthropic as the leading challenger to OpenAI in the commercial AI race ahead of what could be the most anticipated tech IPO in years.
What Happened?
Anthropic’s annualized revenue run rate hit $65 billion by the end of July, people familiar with the company’s investor updates told Bloomberg — a figure the company shared as part of a regular communication with shareholders. The trajectory is extraordinary: Anthropic ended 2025 with a run rate of roughly $9 billion, crossed $47 billion in May, and has now reached $65 billion in July, implying the business added roughly $18 billion in annualized revenue in two months. Q2 revenue came in at more than $11.5 billion — up 14-fold from the $787 million reported in Q2 2025 — and for the first time, Anthropic reported positive adjusted operating income for the quarter, a significant milestone for a company that has been burning enormous capital on model training and compute. The figures were shared ahead of the company’s planned IPO, which it is targeting for as early as this fall.
Why It Matters?
Anthropic’s numbers reframe the AI competitive landscape in a striking way. A $65 billion run rate — higher than OpenAI’s recently disclosed $40 billion — combined with a $965 billion private valuation (surpassing OpenAI’s for the first time after a May funding round) means Anthropic has gone from underdog to co-leader of the commercial AI race in roughly 18 months. The 14-fold Q2 revenue growth underscores how rapidly Claude and Fable have penetrated enterprise and developer markets, particularly in coding and complex workflow automation. Positive adjusted operating income — even if narrow — signals that Anthropic is approaching a point where its unit economics can support sustainable growth rather than requiring perpetual fundraising to stay alive. That changes the IPO calculus significantly: Anthropic will now enter public markets not as a speculative infrastructure play but as a high-growth business with actual earnings momentum.
What’s Next?
Anthropic is working with Morgan Stanley, Goldman Sachs, and JPMorgan on its IPO, which is expected as early as fall 2026 — making it likely to debut before both OpenAI and China’s DeepSeek, which is also preparing for a public listing. The company is seeking public market capital to fund continued model development and maintain its lead as OpenAI, Google, and Meta all scale their AI investments aggressively. For public market investors, the Anthropic IPO will be the first chance to own equity in a frontier AI lab at meaningful scale — a landmark moment that will set valuation benchmarks for the entire AI sector. At a $965 billion private valuation and $65 billion run rate, the implied revenue multiple entering the public market is roughly 15x — a premium that reflects both growth expectations and the strategic value of being a foundational AI platform.
Source: Bloomberg
