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Anthropic files for Nasdaq IPO, shares to trade Nov. 19

The AI startup plans to sell up to 825 million shares at $70‑$78 each, with trading slated for Nov. 19 on Nasdaq under “ANT.”

By Published by Oossa: 1 min read

Maxim Klimashin · Unsplash

Anthropic, the public‑benefit AI company behind Claude, announced on Nov. 12 that it will list its Class A common stock on Nasdaq. The roadshow began Nov. 10, and the final offering price is expected to be set on Nov. 18. Trading of the new shares is scheduled for Nov. 19.

The company is offering 825 million shares in total. Of those, 801.35 million are being sold by Anthropic itself, while 23.65 million are being sold by existing shareholders. Anthropic will not receive money from the latter sale. Underwriters have a 30‑day option to buy up to an additional 123.75 million shares.

The IPO price range is $70 to $78 per share. European investors see a maximum price of $120 in the prospectus, but the actual price will match the U.S. offering once it is set. The shares will trade under the ticker “ANT” on the Nasdaq Global Select Market.

Why the IPO matters now

Anthropic’s filing comes as its AI services are being adopted by large enterprises. In its Q3 2026 filing, the company reported $17 billion in revenue and more than 11,900 customers each generating at least $100 k in annual revenue. Clients such as Legora, Eli Lilly, Rakuten, Salesforce and Walmart cite productivity gains and faster product development thanks to Claude.

The capital raise will fund further development of its AI models and expand the Claude Enterprise platform. For investors, the offering provides a way to own a piece of a fast‑growing AI firm that has positioned itself as a “public‑benefit corporation,” meaning it pledges to balance profit with broader societal impact.

Why it matters

For ordinary investors, the IPO gives a chance to buy shares of a major AI player at a set price before they hit the open market. For businesses, Anthropic’s raised capital could accelerate new AI tools that promise to cut development time and boost productivity, as shown by its enterprise customers.

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