OpenAI and Anthropic’s reported annualized revenue figures are difficult to compare directly: a report published October 9, 2026, said the companies calculate the metric differently. OpenAI had a reported expectation of at least $70 billion in annualized revenue by the end of 2026; Anthropic’s reported annualized pace was $65 billion in July. The figures cover different periods and use different methods, so they do not offer a like-for-like ranking.
Why the figures are hard to compare
Annualized revenue projects a shorter-term result across a year. It is a run rate, not revenue earned over a completed year. A figure can therefore describe a reported pace or a future expectation without representing a full year’s realized revenue.
OpenAI’s figure is a reported expectation for the end of 2026. Anthropic’s is a reported pace for July 2026. Along with the different calculation methods, those different periods and statuses make a direct ranking unreliable.
What annualized revenue means
Annualizing revenue means taking results from a shorter period and projecting them over a year. The result is useful as a snapshot of pace, but it is not the same measure as revenue earned during a completed calendar or fiscal year.
The reported figures and their periods
| Company | Annualized figure | Period | Status |
| OpenAI | At least $70 billion | By the end of 2026 | Reported expectation |
| Anthropic | $65 billion | July 2026 | Reported annualized pace |
The dates matter: one figure is an expectation for year-end, while the other describes a reported pace in July. Neither should be treated as the other company’s result for the same period.
What the figures say about success and profitability
These figures alone do not identify an overall winner. They use different calculation methods and refer to different periods, and revenue is not profit. A revenue run rate does not show whether either company is profitable.
