OpenAI reportedly generated $10 billion in revenue during the third quarter of 2026, even as its operating loss widened to $10.9 billion. These figures, which come from private reports rather than audited financial statements, highlight the company's rapid growth alongside its substantial financial burden.
Revenue increased nearly 50% from the second quarter’s $6.7 billion, while the reported operating loss grew from $10.1 billion. Although the absolute loss increased by approximately $800 million, OpenAI’s adjusted operating margin improved from -150% to -109% during the same period.
OpenAI’s quarterly revenue reached $10 billion for the first time in the three months ended September 2026, according to Bloomberg’s November 10 report. Sales increased nearly 50% from the previous quarter, driven by demand for the company’s latest AI software.
These are reported private-company figures, not audited public-company earnings. Bloomberg cited people familiar with the results; Reuters relayed findings from documents viewed by the Journal. Together, the accounts describe a consequential combination for the AI industry: substantially more revenue, a better adjusted operating margin, and a bigger absolute loss.
Revenue Growth Accelerated Sharply
OpenAI’s reported revenue rose from $6.7 billion in the second quarter to $10 billion in the third. That is an increase of approximately $3.3 billion, or 49%, using the rounded figures.
The pace also accelerated. TechCrunch reported that revenue had increased about 18% between the first and second quarters, from approximately $5.7 billion to $6.7 billion. Bloomberg put third-quarter revenue at almost three times the year-earlier level.
Bloomberg attributed the latest increase to strong demand for OpenAI’s recent AI software. TechCrunch also described improving models, pricing changes, discounts, and a greater focus on enterprise products and AI agents that help customers complete tasks.
Those reported drivers matter, but they are not a revenue breakdown. The available accounts do not show how much growth came from subscriptions, enterprise contracts, API usage, partner distribution, or individual products.
My view is that the strongest demand signal here is the additional $3.3 billion in quarterly sales. It establishes the scale of the reported expansion without requiring assumptions about which product or customer group deserves the credit.
A Better Margin Can Accompany a Bigger Loss
OpenAI reportedly improved its adjusted operating margin from -150% to -109%. At the same time, its operating loss widened by approximately $800 million.
Revenue figures are reported by TechCrunch and Bloomberg; operating losses and adjusted margins are reported by Reuters, citing the Wall Street Journal. Calculations use rounded reported figures.
The distinction is straightforward: a margin measures a result relative to revenue, while the dollar loss measures its absolute size.
An adjusted operating margin of -109% corresponds to an adjusted operating loss of $1.09 for every $1 of revenue. At -150%, that ratio was $1.50 of adjusted operating loss per revenue dollar. The loss burden relative to sales therefore became smaller, even as the total reported loss increased.
The figures line up approximately, but the published accounts do not spell out the adjustments or provide a reconciliation to a complete income statement. The operating-loss amounts and adjusted margin should retain their reported labels.
This is the most useful comparison in the story. Revenue grew much faster than the loss, suggesting improved aggregate economics on the reported basis. Yet OpenAI still recorded more than a dollar of operating loss for each dollar of quarterly revenue.
Calling that simply “improving profitability” would obscure the dollar result. Calling it only “widening losses” would miss the substantial change in the relationship between sales and losses.
The $50 Billion Run Rate Measures Something Different
OpenAI also reportedly told investors that its annualized revenue stood at roughly $50 billion at the end of September, according to Quartz’s account of Bloomberg’s reporting.
That figure should stay separate from the $10 billion quarterly result.
Multiplying $10 billion by four produces $40 billion. An annualized run rate measured at a particular point can differ from that calculation because it describes revenue pace at that point, while quarterly revenue covers an entire three-month period. The published accounts do not supply OpenAI’s precise run-rate formula.
Neither measure is a full-year revenue result or a promise of future sales.
Quartz also reported that a previously cited $68 billion annualized figure included gross revenue from partner companies. That makes the accounting scope important: a larger figure can include sales that are not counted in the same way in OpenAI’s own revenue measure.
For readers tracking the business, the useful distinction is between revenue earned during a period and an annualized estimate of the current pace. Mixing them can make growth appear larger or smaller without any underlying change in customer activity.
Anthropic’s Revenue Is an Imperfect Benchmark
Anthropic reportedly generated roughly $17 billion in third-quarter revenue, compared with OpenAI’s $10 billion. Quartz reported approximately 47% sequential growth for Anthropic, close to OpenAI’s nearly 50% increase.
Those numbers make Anthropic an important competitive reference, but they do not support a clean, like-for-like sales ranking.
TechCrunch notes that Anthropic counts sales made by its cloud partners, while OpenAI reports only its own share of some partner sales. Quartz likewise notes that the companies have historically used different methods to calculate revenue.
Counting a customer’s full payment through a partner can produce a different revenue figure from counting only the model provider’s share. Without a common reporting basis, the gap cannot be translated directly into a difference in usage, enterprise adoption, or operating efficiency.
I’d put more weight on OpenAI’s sequential figures than on a simple two-company revenue leaderboard. They provide a more direct view of how its reported business changed over one quarter, although the available reporting still lacks detailed accounting definitions.
What This Says About Frontier-AI Economics
The third-quarter figures show that large-scale demand and large-scale losses can coexist. OpenAI’s reported growth was substantial enough to improve its adjusted margin materially, but insufficient to reduce the absolute operating loss.
That distinction matters for AI labs, cloud partners, and investors evaluating competition. A business can become less loss-making relative to each revenue dollar while still requiring support for a larger total loss. Percentage improvement alone cannot answer how much financial capacity the business needs.
The figures also leave the underlying mechanisms unresolved. They do not show whether the margin improvement came from pricing, customer mix, infrastructure efficiency, spending timing, or some combination. Nor do they establish that serving an individual AI request became cheaper.
Pricing and usage can pull in different directions. A discount may encourage more consumption and increase total revenue, while the resulting activity also creates more work for the systems serving customers. Aggregate revenue and operating margin cannot isolate those effects.
The missing cash-flow statement is particularly important. A $10.9 billion operating loss is not automatically $10.9 billion of cash burned. Accounting expenses, payment timing, and investment spending can make operating results and cash movement differ. These reports do not provide enough detail to calculate cash burn, funding runway, or a path to break-even.
The supported conclusion is narrower and still significant: OpenAI reportedly expanded revenue by roughly half in one quarter, improved its adjusted loss margin by 41 percentage points, and nevertheless posted a larger operating loss. That is evidence of commercial scale and a continuing financial burden, without establishing when profitability might arrive.
Frequently Asked Questions
4 questions
1
Did OpenAI officially publish these results?
The figures came from reporting based on people familiar with the results and investor documents. They are not audited public-company earnings.
2
How can the margin improve while losses increase?
Revenue grew faster than the reported loss. The loss became smaller relative to sales, even though its dollar amount increased.
3
Is the $10.9 billion loss the same as cash burn?
No. Operating loss is an accounting measure. The available reports do not include the cash-flow information needed to calculate cash burn.
4
Can OpenAI’s revenue be compared directly with Anthropic’s?
Only with caution. The reporting identifies differences in how the companies count partner sales, limiting a direct comparison.
