Anthropic 三季度营收 168 亿美元,增速放缓且 IPO 估值预期下调
Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO
Anthropic 在旧金山向潜在投资者披露,三季度营收达 168 亿美元,环比增长约 45%,但远低于二季度因 Claude Code 需求推动的 140% 以上增速。公司截至三季度的调整后营业利润率为 11%,连续第二个季度实现调整后盈利,三季度每花 1 美元算力成本带来 1.70 美元收入。Anthropic 预计 5% 至 7% 的收入来自蒸馏,并称阻断蒸馏将拖累当前季度业绩;其计划于 11 月感恩节前 IPO,部分投资者对营收数据失望,银行顾问可能将估值预期下调至 1.5 万亿美元以下。
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Slowing growth and a tough market are hurting Anthropic's valuation ahead of its planned November IPO.
Anthropic shared its quarterly numbers with potential investors at a private meeting in San Francisco, according to multiple US media reports. Third-quarter revenue hit $16.8 billion. That marks a roughly 45 percent jump from the second quarter and is more than 3.6 times the company's total annual revenue for 2025.
Growth has slowed, though. In the second quarter, surging demand for the developer tool Claude Code had pushed revenue up by more than 140 percent compared to Q1. Anthropic is far from that pace now, though a summer slowdown is one likely factor since people typically work less during those months and burn through fewer tokens. OpenAI also launched a strong competitor with Astra in September, which Anthropic only successfully countered in late September with Opus 5.5 .
Profitable inference shows AI models can make money
According to The Information , Anthropic reported an adjusted operating margin of 11 percent for the year through Q3. That number leaves out major costs like stock-based compensation, but it shows the company is moving toward profitability.
The Financial Times reports this was the second straight quarter of adjusted profitability for the AI lab. The company is cash-flow positive, too. During the third quarter, Anthropic generated $1.70 in revenue for every dollar it spent on compute.
This is good news for the AI industry because it shows trained models can turn a profit despite months of price wars. Plenty of caveats remain, though, including steep training and staff costs and the risk that open-weight alternatives start replacing proprietary models like Claude.
Blocking model theft will hurt Anthropic's short-term revenue
Anthropic also estimates that 5 to 7 percent of its revenue comes from distillation. In this process, other companies use Anthropic's AI to extract data about how it works and train their own models.
Anthropic has repeatedly accused Chinese AI labs of copying its models this way. Still, the company recently rolled out effective countermeasures , raising questions about why Anthropic spent so much time lobbying against distillation if it had the tools to stop the practice all along.
That said, distillation revenue will likely drop now and weigh on the current quarter's numbers, Anthropic told investors. Over the long run, blocking distillation should pay off by making it harder for rival model makers to match Claude's quality.
Investor skepticism could force a lower IPO price
The planned IPO, which The Information says is set for November before Thanksgiving, will be the biggest test yet of investor appetite for the AI boom. Anthropic's private valuation jumped to $965 billion in May, up from under $20 billion just two years earlier. Some bankers even floated a $2 trillion IPO.
But the now presented revenue numbers reportedly disappointed some potential investors. Several now expect Anthropic's banking advisors to lower valuation expectations to possibly under $1.5 trillion, especially since the company did not discuss its September annualized revenue rate or a full-year outlook. In July, that rate was reportedly $65 billion .
The timing for an IPO is hardly ideal. Inflation stays high, borrowing costs are rising, public sentiment toward AI remains more negative than positive, and unsolved cybersecurity risks pose a real operational threat . Moreover, OpenAI, Anthropic, Google, and others have been locked in a brutal price war for months while open models keep closing the performance gap. Still, people will almost certainly use more AI in the future rather than less as improving model capabilities work their way into more everyday office jobs.