Anthropic IPO: $70–$78 share range, $17B revenue, Nasdaq debut set for November 19

Anthropic has formally opened its initial public offering. According to the investor site the company launched alongside a roadshow that began on November 10 — a page that reached the Hacker News front page on November 12 — the AI developer will list shares on Nasdaq under the ticker ANT, with final pricing expected on November 18 and trading expected to begin the following day.

The filing offers the most detailed public picture yet of Anthropic's finances. The company's Q3 2026 highlights report $17.0 billion in revenue, up more than 12x year over year, and more than 11,900 customers generating at least $100,000 in trailing-twelve-month revenue — also an increase of more than 12x. The same disclosure cites a greater-than-4x gain in compute efficiency since Q1 2025, a 15% adjusted operating margin and an unadjusted operating margin of negative 3%.

The most eye-catching figure is a $23.3 billion net loss. Anthropic explains that $21.9 billion of it comes from a non-cash charge tied to a shift in the fair value of convertible notes, derivative liabilities and SAFEs — an accounting consequence of the company's valuation climbing, not cash leaving the business.

The offering terms

Class A common stock will be offered at an estimated $70 to $78 per share in the U.S. offering, with the final price to be determined based on regulatory clearance, investor demand and market conditions. Retail investors can request shares through participating brokerage platforms, though the site cautions that no one is guaranteed an allocation.

A separate European prospectus lists a maximum price of $120 per share. Anthropic says that ceiling was set deliberately above the U.S. range so that European and Swiss retail investors can still take part if the final price ends up exceeding the current estimate — and that they will pay the same final price as any other participant in the global offering, before brokerage fees and currency conversion costs.

The published documents include an IPO fact sheet, financial statements, the European prospectus with summaries translated into French, Spanish and Swedish, and the company's incorporation papers and bylaws.

Enterprise adoption as the growth story

The site leans heavily on customer metrics to argue its case. Legal technology firm Legora reports more than 1,500 law firms and in-house legal teams served, with an independent study across 31 firms finding 4.3 non-billable hours recaptured per lawyer each week. Eli Lilly has extended Claude Enterprise access to more than 50,000 employees, with over 85% of staff in key functions actively using it.

On the technical side, Rakuten counts more than 70 business units using AI tooling, while Salesforce cites an API migration completed 18x faster — 231 days of estimated work finished in 13 days — and a 151% year-over-year rise in effective output per developer. Walmart reports roughly 35% higher average order values on orders placed through its Sparky experience compared with other orders.

How Anthropic frames the listing

The company anchors the offering in its public benefit corporation structure, which it describes as devoted to realizing AI's upside while keeping its dangers in check. An accompanying founders' letter contends that AI may be among the most significant technologies people have ever built and that, handled well, it could speed up scientific discovery, lift economic growth and make cures for major diseases attainable.

Why it matters

This is one of the fullest financial disclosures any major AI developer has made public, and it frames the trade-off investors will be asked to price: revenue compounding at more than 12x a year set against a headline loss that is enormous but almost entirely non-cash. It is also a live test of whether a company founded around AI safety can carry that mission into public markets, where quarterly scrutiny will sit alongside its public benefit charter. And the result will act as a benchmark for the sector — how the ANT listing prices and trades will shape how the market values AI companies more broadly.