Anthropic's Leaked S-1: $4.6B Revenue, $42B Net Loss, $518B Compute Bets, $2T Target — the IPO Race Goes Public

Updated

Anthropic's Leaked S-1: $4.6B Revenue, $42B Net Loss, $518B Compute Bets, $2T Target — the IPO Race Goes Public

The frontier-lab IPO race entered its endgame this week. Reuters (Echo Wang and Manya Saini, Sept 28, 2026) obtained Anthropic's IPO prospectus — reported "here for the first time" — ahead of a listing expected after the November US midterm elections. The headline numbers:

  • Revenue grew 12-fold in 2025 to nearly $4.6 billion, while the company "lost more than $8 billion on an operating basis, excluding writedowns of various liabilities mostly tied to previous fundraising." Total 2025 net loss: $42 billion (including a ~$34 billion non-cash accounting charge on financing that could convert to Anthropic shares).
  • $518 billion in planned cloud/computing/infrastructure obligations — "much of which cannot be cancelled" per other coverage. 2025 compute spend alone was $7.33 billion, more than half of $12.65 billion total operating expenses.
  • Customer concentration: "nearly a quarter of its revenue came from two customers last year," and Anthropic warned its largest clients "were not locked into long-term contracts and could cut or stop spending."
  • Valuation target: more than $2 trillion — double its ~$965 billion May private valuation, and a benchmark-setter for OpenAI, which "confidentially filed for an IPO in June" and is "expected to list by early 2027." Anthropic held $20.28 billion in cash at year-end 2025.

Reuters also confirms the competitive cadence: Anthropic "rolled out its new Opus 5.5 model last week to counter OpenAI's momentum since its launch of GPT-6 Astra." PitchBook (via Morningstar) argues the leaked financials "reflect fast growth, but not a $2 trillion valuation," pointing to whether Q3 revenue clears ~$16.25B annualized and whether compute costs fall as a share of revenue.

Why this matters for the vertical-AI finance landscape: the two labs whose packaged financial products (ChatGPT for Financial Services, Claude for Financial Advisors) are reshaping distribution will soon be public companies with disclosed segment economics. Finance-vertical revenue, retention, and compute margins will become quarterly-observable for the first time — turning the current land-grab narrative (Frontier Labs' Finance Land Grab: Schwab×Anthropic Goes Read-Only as Analysts Give Altruist a 2–5 Year AI Lead, Anthropic's Leaked S-1: $4.6B Revenue, $42B Net Loss, $518B Compute Bets, $2T Target — the IPO Race Goes Public prior revision) into a measurable contest. Concentration risk (two customers = ~25% of revenue) also explains the urgency of the vertical expansion into financial services.

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Revision history

  • Update: Anthropic S-1 contents reported (Sept 28) — revenue, losses, $518B compute commitments, $2T target, post-midterm listing; OpenAI expected early 2027.
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