Anthropic Touts $16.8 Billion Third-Quarter Revenue, Profit Ahead of November IPO

Anthropic is touting revenue growth and improving profitability as it seeks to win over investors ahead of a planned initial public offering in November. With concern rising over the heavy investment costs tied to AI companies, the startup emphasized adjusted profitability and stronger cash flow.

The Financial Times reported on October 14 that Anthropic held an investor presentation that day at its San Francisco office. The company presented third-quarter revenue of $16.8 billion, up about 46% from $11.5 billion in the second quarter. It also recorded an adjusted profit during the period, while cash flow was positive.

Anthropic executives cast rapid growth, improving efficiency and a safety-focused development philosophy as central to the company's listing strategy. For Anthropic, the developer of Claude, the biggest expenses are semiconductors and data centers needed to train and operate its models. Investors are focused on whether revenue growth can support that infrastructure spending.

The risks of the technology itself are also a key issue in the listing process. Recent cases of AI models being hacked or behaving improperly, along with a growing chorus warning about the technology's dangers, have complicated valuation.

Risk factors also accounted for a large share of the draft S-1 registration statement Anthropic shared with some investors last month. About one-third of the document was devoted to those issues, including the possibility that AI models could behave unpredictably or maliciously. The company warned that its technology could threaten humanity's survival.

From a business standpoint, the main question is whether Anthropic can maintain its pace of growth. As competition with OpenAI and Meta intensifies, the company plans to invest more than $500 billion in infrastructure and computing resources over the next decade. Higher interest rates and worsening macroeconomic conditions could weigh on that plan.

Market sentiment also remains challenging. U.S. semiconductor stocks fell sharply that day on worries over inflation and concerns about excessive borrowing to fund AI investment.