
Anthropic's Run-Rate Revenue Hits $81 Billion Ahead of IPO
Anthropic's amended S-1 puts run-rate revenue at about $81 billion, up from $71 billion a month earlier, ahead of a November 18 IPO pricing.
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Anthropic added $10 billion to its run-rate revenue in a single month, lifting the figure to roughly $81 billion as of October 31, 2026. The number appears in Amendment No. 2 to its S-1, which the SEC accepted at 6:29 a.m. ET on November 10. The previous amendment had left that field blank.
By the calculation of 24/7 Wall St., the run rate stood near $71 billion on September 30, so the month brought growth of about 14%. The expected price range remains $70 to $78 for 825,000,000 Class A shares. At the top of the range, Anthropic would raise about $64.4 billion, and the shares would be worth roughly $916 billion to $1.02 trillion on a basic-share count.
How does a 28-day window become $81 billion?
Anthropic derives the metric by multiplying consumption fees from the trailing 28 days by 13, then adding monthly subscription fees multiplied by 12. One strong month can therefore move the headline figure sharply. The filing itself urges caution: the number does not replace GAAP revenue, is not a forecast, has not been independently verified, and can swing with holiday usage. It can also include amounts from customers later found violating usage policies.
The GAAP picture is more modest. Revenue was $16.956 billion in the September quarter, up from $11.555 billion in the June quarter — a gain of about 46.7% — and from $1.382 billion a year earlier. Annualizing the September quarter gives about $67.8 billion, below the run rate because the two figures cover different periods. Customers paying $100,000 or more grew from more than 950 to more than 11,900 over the year, though usage-linked revenue can fall as fast as it rose.
What does the filing mean for Amazon and Alphabet?
Amazon and Alphabet both sell Anthropic computing power and both hold large stakes. In early afternoon trading on November 11, 2026, Amazon was down 1.32% at $267.29 while Alphabet was up 2.85% at $295.58. The filing does not explain either move.
Anthropic has committed to up to 5 GW of Amazon's Trainium chips. Amazon's second-quarter net income included a $53.4 billion pre-tax gain, mostly from its Anthropic interest, and AWS revenue rose 39% to $45.98 billion in the third quarter, though Amazon does not break out Anthropic's contribution. Alphabet took an $8.7 billion loss on equity securities, ending its run of EPS beats, even as Google Cloud grew 103%. Some of the money both companies invest in Anthropic returns to them as cloud spending, which makes independent demand hard to separate.
What does the filing leave out?
There is no forecast and no outside verification of the run rate. The document warns that run-rate growth will slow, possibly sharply. The third quarter brought a GAAP operating loss of $567 million, after a $974 million operating profit in the June quarter; company-defined Adjusted Operating Income was $2.463 billion. A net loss of $23.291 billion included a $21.936 billion non-cash charge tied to fair-value changes in convertible notes, derivative liabilities and SAFEs.
Reports also circulate that orders far exceed the shares on offer and that bankers expect a fully diluted valuation of $1.5 trillion or more. No filing supports either report.
Why does Alphabet look better positioned than Amazon?
Alphabet trades at about 13 times earnings against roughly 38 for Amazon, and Anthropic matters less to its results than Search, Gemini and a cloud business that more than doubled. Amazon, tied to Anthropic through Trainium, has more of its upside riding on one customer that warns its own growth will slow.
The key dates are pricing on November 18 and the first trading day on November 19. Pricing at or above $78, alongside a next run-rate disclosure near $81 billion, would confirm demand; pricing below $70 would suggest the October jump was a one-time spike.
Source: 247wallst.com
More from Nathan Brooks
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Senior reporter covering people, launches and day-to-day practice in Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.
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