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    You are at:Home»AI NEWS»Anthropic Targets a $1 Trillion Valuation in Nasdaq IPO, Sets Share Price Range at $70–$78
    AI NEWS

    Anthropic Targets a $1 Trillion Valuation in Nasdaq IPO, Sets Share Price Range at $70–$78

    Brady CottonBy Brady CottonNovember 11, 2026
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    Anthropic is preparing for one of the largest public offerings in the history of the artificial intelligence industry. The company has updated its IPO filing, setting an expected price range of $70 to $78 per share and planning to list on the Nasdaq under the ticker symbol ANT.

    According to the reported schedule, Anthropic expects to price its shares on November 18, with trading set to begin on November 19. If the offering reaches the top of its price range, the AI company could achieve a valuation of more than $1 trillion after the IPO and accompanying private investment.

    The proposed listing would mark a major shift for the frontier AI sector, bringing one of its leading model developers into the public markets.

    Anthropic has also been making progress in its next-generation models, as explored in our report on Anthropic Model 2 and its reported performance improvements over Claude Mythos 5.

    Anthropic Plans to Offer 825 Million Shares

    The updated filing outlines a combined offering of approximately 825 million shares. Anthropic plans to issue around 801.4 million new shares, while existing shareholders intend to sell approximately 23.6 million shares.

    At the upper end of the proposed $78 price range, the public offering could raise approximately $64.35 billion. The large number of newly issued shares means the transaction would provide Anthropic with substantial capital to support its next stage of growth, particularly in computing infrastructure and AI model development.

    Based on the $78 price, the company’s estimated post-IPO valuation could reach approximately $1.02 trillion after accounting for the IPO and private investment. On a fully diluted basis, the valuation could climb to around $1.405 trillion.

    This would put Anthropic above its reported $965 billion post-money valuation from its Series H financing in May. However, the projected figure remains below earlier market speculation that suggested a potential $2 trillion valuation.

    Google and Nvidia Lead a $26 Billion Private Placement

    Alongside the public offering, Anthropic is arranging a separate private placement worth approximately $26 billion. Several major technology companies are expected to participate, including Google, Nvidia, AMD, Broadcom, Micron, Microsoft and TSMC.

    The reported investment commitments include:

    • Google: $10 billion

    • Nvidia: $10 billion

    • AMD: $2.5 billion

    • Broadcom: $1 billion

    • Micron: $1 billion

    • Microsoft: $1 billion

    • TSMC: $500 million

    The private placement involves Class N ordinary shares without voting rights. This structure allows participating companies to gain an investment position in Anthropic without receiving the same voting influence as holders of voting shares.

    When the private placement is included, the overall transaction could reach approximately $90.4 billion at the top of the IPO price range. That would exceed the reported $86.2 billion transaction associated with SpaceX in June, making Anthropic’s proposed capital raise an especially significant event for the technology market.

    Revenue Surges, but Computing Costs Remain High

    Anthropic’s financial figures highlight how quickly demand for its AI products has expanded, while also showing the enormous costs involved in operating advanced AI systems.

    For the nine months ended September 30, the company reported revenue of approximately $33.24 billion, representing year-over-year growth of around 1,200%. Third-quarter revenue reached $16.956 billion, up 47% from the previous quarter.

    However, rapid revenue growth has not eliminated the pressure on profitability. Anthropic recorded a net loss of approximately $104 billion over the nine-month period, with much of the reported loss attributed to fair-value changes in convertible debt and derivative liabilities rather than ordinary operating expenses.

    Computing infrastructure is another major expense. Anthropic spent approximately $9.863 billion on computing in the third quarter, equivalent to about 58% of its revenue for the period.

    The company’s operating performance also weakened. After reporting operating income of approximately $974 million in the second quarter, Anthropic moved to an operating loss of around $567 million in the third quarter.

    These figures illustrate the financial challenge facing frontier AI developers: generating revenue at scale while paying for the computing capacity required to train, improve and serve increasingly powerful models.

    Why Anthropic’s IPO Matters to the AI Industry

    A potential $1 trillion-plus public valuation would make Anthropic’s listing a major milestone for the AI sector. Until now, many leading AI companies have relied heavily on private funding rounds and strategic investments from large technology firms.

    The company’s growing commercial presence is also reflected in how scientists are using Claude for data analysis and research writing.

    A Nasdaq listing would introduce a new source of market-based valuation. Public investors would be able to assess Anthropic’s business through its reported revenue, operating costs, capital requirements and future growth prospects.

    The offering could also provide a clearer benchmark for valuing other AI developers. Investors will be watching whether Anthropic can turn strong demand for AI services into sustainable operating profits, especially as infrastructure spending continues to rise.

    For the wider technology industry, the proposed IPO raises a central question: how much long-term value can advanced AI businesses generate, and what level of spending is necessary to maintain their competitive position?

    Anthropic’s public-market debut could help answer that question. Its eventual trading performance may influence investor expectations for other AI companies seeking large-scale funding or considering their own stock market listings.

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