OpenAI Revenue Reportedly Hits $10 Billion in Q3 | Zeniteq
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OpenAI Revenue Reportedly Hits $10 Billion in Q3
Bloomberg’s anonymously sourced update points to faster growth, but deep operating losses and accounting differences complicate comparisons with Anthropic.
OpenAI reportedly reached $10 billion in quarterly revenue for the first time, marking 49 percent growth over the previous quarter. While the company’s adjusted operating margin improved significantly from negative 150 percent to negative 109 percent, this efficiency gain masks a deepening absolute financial burden, with implied quarterly losses increasing by roughly $850 million. Comparing these figures to Anthropic remains difficult due to inconsistent accounting, specifically regarding how revenue from cloud partners is recognized. Ultimately, OpenAI is scaling rapidly, but its massive operating costs continue to outpace its significant revenue growth.
OpenAI’s quarterly revenue reached $10 billion for the first time in the three months ending September 2026, according to a Bloomberg report published November 10. That would put revenue nearly 50% above the previous quarter and almost three times its level a year earlier.
Bloomberg cited unnamed people familiar with the figures, which were shared during an investor call. OpenAI President Greg Brockman, Chief Financial Officer Sarah Friar and product leader Thibault Sottiaux spoke on the call, according to one source.
These are anonymously sourced figures, not a public financial disclosure from OpenAI. Still, the reported combination of rapid growth and a deeply negative adjusted operating margin offers a useful view of the company’s competitive position.
The important detail is that better margins can coexist with larger dollar losses. And while OpenAI’s reported $50 billion annualized revenue run rate signals substantial commercial scale, it cannot be cleanly ranked against Anthropic’s figures without accounting adjustments that the available reporting does not provide.
TechCrunch also reported that OpenAI’s adjusted operating margin improved from negative 150% in Q2 to negative 109% in Q3. That is an improvement of 41 percentage points, but it still implies a substantial operating loss relative to sales.
The distinction becomes clearer when the reported figures are placed together:
The loss estimates are calculations from the reported revenue and margins, assuming adjusted operating margin means adjusted operating income divided by the same revenue figure. They are not separately reported loss figures.
Under that conventional definition, a negative 109% margin means an adjusted operating loss of $1.09 for every $1 of revenue. The previous quarter’s negative 150% margin would mean a loss of $1.50 for every revenue dollar.
That is meaningful progress in the relationship between revenue and costs. Yet because revenue grew so quickly, the implied quarterly adjusted operating loss would have increased by roughly $850 million.
My view is that this is the most useful way to read the update: OpenAI appears to be generating revenue more efficiently relative to its adjusted operating cost base, while the absolute financial burden remains enormous.
The opened reporting does not define the adjustments or provide a detailed expense breakdown. These calculations therefore cannot establish cash burn, net losses or how much OpenAI spent specifically on training, serving models, staffing or infrastructure.
Why Anthropic’s Revenue Needs an Accounting Caveat
Anthropic provides the obvious competitive comparison. TechCrunch reported that the Claude maker had announced $17 billion in Q3 revenue and an $81 billion annualized revenue run rate as of the end of October. It also described Anthropic as having pulled ahead in enterprise AI revenue growth.
Those figures appear substantially larger than OpenAI’s reported $10 billion quarter and $50 billion run rate. But TechCrunch identified a consequential accounting difference:
Anthropic counts sales made by its cloud partners.
OpenAI reports only its own share of some sales through partners.
A simple hypothetical shows why that matters. Suppose a customer pays a cloud partner $100 for access to a model provider’s service, and the provider receives $60. One reporting approach could count the $100 customer sale, while another could count only the provider’s $60 share.
The example illustrates the accounting issue; it is not a description of either company’s actual revenue-sharing terms.
Without a common reporting basis, headline revenue can reflect both customer demand and the way partner transactions are counted. Dividing Anthropic’s $81 billion run rate by OpenAI’s $50 billion figure would produce a ratio, but it would not produce a reliable measure of their relative enterprise businesses.
The companies’ revenue mix adds another limitation. OpenAI sells across consumer and business markets, while TechCrunch characterizes Anthropic as more focused on enterprise adoption. Companywide revenue totals alone cannot isolate enterprise market share.
I would treat these figures as evidence that both companies have reached substantial commercial scale. A precise ranking requires comparable revenue definitions, reporting periods and product breakdowns.
The $50 Billion Run Rate Has an Unresolved Comparison
An annualized revenue run rate extrapolates a recent pace of sales across a year. It is different from revenue already earned during a full year, and its usefulness depends on the period and methodology used.
OpenAI’s reported $10 billion quarter would equal $40 billion annualized if multiplied by four. The separately reported $50 billion run rate therefore uses a different basis from simply annualizing the entire third quarter.
It could reflect a more recent sales pace, but the opened reporting does not specify the calculation. Readers should not interpret it as $50 billion in booked annual revenue.
There is also an unresolved discrepancy with earlier reporting. On September 29, Bloomberg summarized an Axios report saying OpenAI’s annualized revenue was approaching $70 billion. That estimate also relied on unnamed people familiar with the matter.
The later $50 billion figure is lower, but the available sources do not explain how the two estimates relate. Differences in measurement dates, included revenue or calculation methods could matter. None is established as the explanation.
It would therefore be premature to interpret the two reports as proof of a revenue decline. The comparison is unresolved, while the quarterly figures in the latest report point to substantial growth.
For evaluating performance, I would give the reported quarter more weight than an unexplained run-rate comparison. A defined three-month period provides a clearer basis for analysis, even though the underlying financial data remains privately sourced.
What the Numbers Mean for Enterprise AI Competition
TechCrunch linked OpenAI’s recent momentum to improving models, pricing changes, discounts and a stronger focus on enterprise products and agents that help users complete tasks. Bloomberg attributed the revenue growth to strong demand for OpenAI’s latest AI software.
That combination matters because enterprise competition involves more than model capability. Providers must turn useful products into paid usage while managing the expense of delivering them. Discounts can help win customers, but their economic value depends on the resulting usage, revenue and delivery costs.
The reported margin improvement suggests revenue grew faster than adjusted operating expenses over the quarter, assuming a consistent calculation. It does not reveal which products improved the economics or whether individual customer workloads were profitable.
Frontier-model expansion also involves several different demands on resources: developing new models, providing capacity for existing customers and building products around those models. A single operating-margin figure cannot separate them.
The competitive signal is consequently strong but specific. OpenAI reportedly expanded quarterly revenue by about $3.3 billion while improving its adjusted operating margin. That gives it a larger commercial base from which to compete with Anthropic and other AI providers.
The next useful evidence would be a consistent series of financial figures showing how much revenue comes from enterprises, how partner sales are recognized and whether adjusted dollar losses begin to shrink. Until then, rapid growth and improving margins can both be true while operating losses remain above revenue.
Frequently Asked Questions
3 questions
1
Has OpenAI Confirmed the $10 Billion Quarter?
The figures come from Bloomberg’s unnamed sources. The opened reporting does not provide a public OpenAI financial disclosure confirming them.
2
Does a Negative 109% Margin Mean OpenAI Is Profitable?
No. Under the conventional calculation, it means an adjusted operating loss equal to 109% of revenue. The reported adjustments are not detailed.
3
Is the $50 Billion Run Rate Full-Year Revenue?
No. A run rate extrapolates a recent revenue pace. The available reporting does not specify the calculation behind OpenAI’s reported $50 billion figure.
