Anthropic is positioning itself for a massive public debut on the Nasdaq, aiming for a valuation that could exceed $2 trillion. The company has informed investors it achieved profitability for the second consecutive quarter, though this claim relies on adjusted metrics that exclude significant expenses like stock-based compensation. According to reports from the Financial Times, gross margins sit above 80 percent, but this figure does not account for revenue-sharing payments to key partners such as Amazon or the substantial costs associated with training new models.
The financial trajectory looks aggressive. Quarterly revenue surged 14-fold year-over-year to reach $11.5 billion, pushing the annualized run rate to $65 billion by the end of July. Market analysts are betting on even steeper growth. SemiAnalysis analyst Joey Brookhart notes that investors are projecting annualized revenue to hit $120 billion by the end of this year, with expectations nearly tripling that figure by the close of 2027. These numbers suggest a market appetite that far outpaces current operational realities, relying heavily on future adoption curves.
Despite the financial momentum, the path to the public markets remains cautious. Anthropic delayed its expected prospectus release last week, opting instead to share documents with a select group of investors first. This controlled rollout contrasts with the typical fanfare of tech IPOs. Meanwhile, CEO Dario Amodei has publicly advocated for slowing AI development, a stance backed by OpenAI’s Sam Altman and Elon Musk. Altman recently confirmed to Fortune that OpenAI will not go public this year, leaving Anthropic as the next major contender in the race for AI market dominance.
The disconnect between adjusted profitability and raw cash burn raises questions about long-term sustainability. While gross margins appear healthy, the exclusion of stock-based compensation and partner payouts paints an incomplete picture of true net income. If Anthropic proceeds with a $2 trillion valuation, it will need to demonstrate that its revenue growth can outpace the enormous capital requirements of model training and infrastructure. Investors will likely scrutinize whether these adjusted metrics can withstand the transparency required by public markets.
