Anthropic files confidential draft for proposed IPO

Anthropic said it confidentially submitted a draft Form S-1 to the SEC for a proposed IPO of its common stock.[1] The company said the draft gives it the option to go public after SEC review, subject to market conditions and other factors.[1] Anthropic has not yet set the number of shares or the offering price.[1] That leaves key offering terms unresolved: the filing alone does not establish what investors will be offered or at what price. The proposed listing is therefore still conditional, rather than a finalized transaction.[1]

Reuters reported that Anthropic was expected to begin marketing the IPO in mid-October at the earliest and complete the listing days before the U.S. midterm elections in November.[2] Reuters also reported that a prospectus was not expected until late September and that the timing and other plans could change.[2] TechTarget described the debut as expected in November.[3] TechTarget said Anthropic could become the largest IPO ever if a reported $2 trillion valuation comes to pass, and Reuters reported that some investors saw that valuation as possible.[3][2] Those are expectations and investor views, not confirmed terms.[1][2]

Bloomberg reported that Anthropic told prospective investors its third-quarter revenue was $16.8 billion and that it had achieved profitability in the quarter on an adjusted basis.[4] Separately, TechTarget cited a leaked prospectus that showed 2025 revenue of $4.6 billion, a net loss of $42 billion and an operating loss of $8.06 billion.[3] The same prospectus data put 2025 compute and infrastructure consumption at $7.33 billion, more than half of operating expenses, and future cloud, computing and infrastructure commitments at $518 billion.[3] The quarterly investor figures and the leaked 2025 figures are distinct reported data points; they should not be treated as a single-period result.[4][3]

TechTarget said the IPO could increase scrutiny of AI business models and affect enterprise AI adoption.[3] The article quoted an analyst who said providers might seek more revenue from customers and that substantial price increases could occur.[3] Chris Ebert of SCG countered that a public listing would not automatically mean higher prices, citing strong competition and generally falling unit costs.[3] Ebert said companies’ larger cost concern was total AI spending as usage grows, rather than the price of a single API call.[3] TechTarget said newly public AI companies might also use price increases, additional tiers and model options to encourage more cost-effective consumption.[3] It advised enterprises to prioritize business rules, data management and workforce upskilling across vendor changes.[3]