OpenAI Chief Financial Officer Sarah Friar told Yahoo Finance’s Deirdre Bosa that third-quarter revenue rose nearly 50% from the second quarter to $10 billion, with an annual run rate of roughly $50 billion, Yahoo Finance reported on 10 November. “Our enterprisebusiness doubled quarter over quarter”, Friar said, and revenue is now split 50/50 between enterprise and consumer.
Those two statements let the quarter be split. By our arithmetic, enterpriserevenue went from about $2.5 billion to about $5 billion, which is about $2.5 billion of the roughly $3.3 billion increase, or about 75%. Consumer, which Friar said grew 20%, added about $0.8 billion.
According to Yahoo Finance, Friar said the growth was driven by OpenAI’s frontier research and its enterprisebusiness. “What’s driving that is products like Coding, Cyber, starting to get more virtual assistants like Dots into the enterprise”, she said. Yahoo Finance describes Dots as OpenAI’s AI agent platform for enterprise.
The small- and medium-business offering also grew more in the third quarter than in the prior six quarters, Friar added. On the consumer side, the article reports sales up 20% quarter over quarter, subscriptions topping 100 million users and 1.2 billion weekly active users. By our arithmetic, that is about one subscriber for every 12 weekly users.
Yahoo Finance compares the quarter with the 18% growth it says OpenAI saw in the second quarter, citing the Wall Street Journal.
OpenAI’s quarterly revenue split by business. The CFO gave growth rates and a share, not dollar splits: each third-quarter half is half of about $10 billion; the second quarter is enterprise halved and consumer divided by 1.2. The splits and the 75% are our arithmetic on the rounded figures Yahoo Finance reported.
Business Pill · Run-Rate Revenue Explained
An evergreen Business Engineer explainer on what an AI company’s run-rate number means. It teaches the general idea only and does not discuss OpenAI’s quarter.
The key insight: As we read it, the quarter Friar described was carried by business customers: by our arithmetic enterpriserevenue went from about $2.5 billion to about $5 billion, about three quarters of the roughly $3.3 billion increase, while consumer, which still has 1.2 billion weekly users behind it, added about $0.8 billion.
How the Quarter Splits
Friar gave growth rates and a share, not dollar figures for each business, so the split below is ours. Half of about $10 billion is about $5 billion for each side in the third quarter. Enterprise doubled, so it was about $2.5 billion in the second quarter; consumer rose 20%, so it was about $4.2 billion.
The two halves sum to about $6.7 billion for the second quarter, consistent with growth of nearly 50%, by our arithmetic. In the second quarter enterprise was therefore about 38% of revenue, against 50% in the third. A run rate of roughly $50 billion is about $12.5 billion a quarter, 1.25 times the third quarter’s $10 billion.
Friar said Anthropic’s enterprise success showed her that OpenAI needs to focus on distribution agreements with third-party cloud service providers, according to the article. “Part of it was we were really stuck on this [Microsoft] Azure contract that we had”, she said. “I think getting that unlocked, Anthropic showed me just the power of that model, and I think for us that can be a very big tailwind in 2027.”
In the same interview, as reported in a second Yahoo Finance article, Friar said of OpenAI’s lightweight model: “A model like Luna is actually about one-fifth, one-sixth the cost of, say, a Chinese open-source model”. The article says she explained that OpenAI saw a 10x jump in Luna usage after dropping its price by some 80% two weeks after launch.
The Structural Read
As we read the two articles together, Friar tied the enterprisegrowth to products (coding, cyber and Dots) and the next leg to distribution: she said OpenAI was “really stuck” on its Azure contract and called third-party cloud deals a possible tailwind in 2027.
As we read the Luna remarks, the price lever runs the other way from the enterprise mix: Friar said a roughly 80% price cut two weeks after launch came before a 10x jump in usage, which raises volume at a lower price per token.
Sarah Friar, OpenAI CFO, to Yahoo Finance, 10 November 2026
“Part of it was we were really stuck on this [Microsoft] Azure contract that we had”
Three Implications
FOR OPENAI Friar said the small- and medium-business offering grew more in the third quarter than in the prior six quarters.
FOR MICROSOFT Friar named the Azure contract as the thing OpenAI was stuck on and said getting it unlocked could be a very big tailwind in 2027.
FOR ANTHROPIC Friar said Anthropic showed her the power of the third-party cloud distributionmodel.
As we read it, Friar’s two levers map onto that: enterprise products such as coding, cyber and Dots, and cloud distribution deals that place OpenAI inside the platforms companies already buy from. The framework predates the interview and does not discuss OpenAI’s quarter.
What Is Not Established
The articles we read give no dollar revenue for the enterprise or consumer businesses, so the split above rests on the rounded growth rates and the 50/50 share Friar gave; small changes in those inputs move the result by a few points. The 75% is our arithmetic, not a figure OpenAI stated.
A post on X on 11 November attributed a 70% run-rate growth figure to Friar; the two Yahoo Finance articles we read do not print it, and we did not transcribe the video. OpenAI is a private company and its figures are unaudited. We did not contact OpenAI for this piece.
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OpenAI’s CFO said third-quarter revenue rose nearly 50% to $10 billion, with enterprise doubling to half of revenue and consumer up 20%. By our arithmetic, enterprise supplied about $2.5 billion of the roughly $3.3 billion increase, about 75%, and Friar named the Azure contract as a constraint on the cloud channel she called a possible tailwind in 2027.
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A note on sourcing. We read two Yahoo Finance articles of 10 November 2026 by Daniel Howley on Deirdre Bosa’s interview with OpenAI CFO Sarah Friar in full; quotations are as those articles print them, and we did not transcribe the interview video. The enterprise and consumer dollar splits, shares and ratios are our arithmetic on the rounded figures reported. Earlier figures come from our own linked coverage. We did not contact OpenAI for this piece.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
