For the first time, OpenAI’s quarterly revenue reportedly crossed $10 billion, according to Bloomberg, which cited people familiar with information shared with investors. The figure represents nearly 50% sequential growth from approximately $6.7 billion the prior quarter. That distinction is important: the figures reflect what investors were told, not independently verified public data disclosed in audited financial statements.
Growth That’s Hard to Ignore
Year-over-year, the pace of expansion is even more striking.
Measured year-over-year, quarterly revenue nearly tripled from the same period in 2025. By the end of September, OpenAI’s annualized revenue run rate (the pace of sales projected over a full year) reportedly reached approximately $50 billion, according to TechCrunch.
The Profitability Gap
Revenue is scaling fast, but so are the costs that follow it.
OpenAI’s reported adjusted operating loss for the third quarter reached approximately $10.9 billion, up from roughly $10.1 billion the prior quarter, according to reporting from the Wall Street Journal, which reviewed documents. Adjusted operating margin reportedly improved from around -150% in the second quarter to -109% in the third. That still means OpenAI lost more than a dollar for every dollar it brought in, even after adjustments.
That margin movement signals some efficiency progress, but the absolute loss figure grew larger quarter over quarter. The company’s high computing, infrastructure, research, and talent costs remain substantial, and the available reporting does not establish that those costs are declining relative to revenue.
Where Anthropic Fits
A competitor’s stronger quarterly figure complicates any straightforward reading of OpenAI’s position.
Anthropic reportedly posted approximately $17 billion in third-quarter revenue, exceeding OpenAI’s figure by a significant margin, according to TechCrunch. Anthropic disclosed that figure in an amended Form S-1 filed with the SEC, giving it stronger primary-source standing than OpenAI’s investor-shared numbers. That comparison still requires a caveat: Anthropic includes sales made through cloud partners in its run-rate calculation, while OpenAI reports only its share of some partner-generated sales. The two figures are not directly comparable, and treating them as equivalent overstates or understates the gap, depending on which methodology is applied.
What’s Behind the Revenue Surge
Reported explanations point to pricing, models, and enterprise strategy, though none have been independently confirmed.
The originating report attributes OpenAI’s momentum to tighter pricing, improved models, targeted discounts, and a stronger push into enterprise products and Claude’s new feature and AI agents capable of completing multi-step tasks. These factors were not independently confirmed in the available source material and should be understood as reported explanations rather than verified drivers.
The Bigger Picture
OpenAI’s consumer scale is established; whether it translates into enterprise dominance is still unresolved.
OpenAI competes in a field that includes Google, Microsoft, Amazon, Meta, Anthropic, and a growing number of open-source developers. Revenue leadership in this market can shift as model pricing, cloud distribution agreements, and enterprise contract dynamics evolve. What $10 billion in quarterly revenue does not answer is whether OpenAI can convert its broad consumer reach into durable enterprise dominance through AI-powered websites and tools. Sustained operating losses may force a structural response before that answer arrives.
