Anthropic has filed for an initial public offering in the United States. The company confirmed the confidential submission of a draft registration statement with the Securities and Exchange Commission. The filing keeps financial disclosures, risk factors, and share structure outside public view at this stage. Any listing will still depend on market conditions and regulatory approvals.
The IPO plan follows a fresh funding round that lifted Anthropic’s valuation close to $965 billion after it raised $65 billion in Series H funding. The round drew major institutional investors, including Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital, Capital Group, Coatue and D1 Capital Partners. The scale of participation signals strong investor appetite for artificial intelligence firms with large enterprise footprints and fast revenue expansion.
The filing enters a crowded field of mega-cap tech listings. SpaceX is preparing for a potential offering targeting a valuation near $2 trillion, with plans to raise more than $75 billion. OpenAI continues parallel fundraising activity, including a $122 billion round in March that placed its valuation at $852 billion post-money.
The overlapping trajectories show how leading AI companies are moving toward public markets at similar speed, setting up direct comparison on valuation, governance and growth expectations.
Anthropic has reported a sharp rise in revenue, with annualized run rate crossing $47 billion, up from $9 billion at the end of 2025. Enterprise adoption has driven much of this expansion as companies integrate large language models into business operations. Attention now turns to its Mythos model, previewed in April and still under restricted access after internal testing flagged thousands of high-severity bugs.
The company is also preparing to give access to the European Union’s cybersecurity agency, according to Bloomberg. The confidential IPO filing places Anthropic at a critical point where market expectations meet unresolved product risks. The next phase will test how investors price rapid revenue growth against safety concerns, model reliability challenges, and rising competition in the AI sector.
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