OpenAI 年化营收下修至约 500 亿美元,正洽谈 300 亿美元新融资
OpenAI revenue keeps surging as company seeks $30 billion in fresh capital
- 1OpenAI 9 月底年化营收约 500 亿美元,此前近 700 亿美元的数字源于与 Anthropic 对比的记账口径
- 2口径差异在伙伴销售记账,Anthropic 全额计收再记云厂商分成,OpenAI 只计自家份额,均符合 US GAAP
- 3OpenAI 洽谈至少 300 亿美元新融资,投前估值目标 1.4 万亿美元,预计 2026 年底年化营收至少 700 亿美元
- 4Financial Times 报道后芯片股下跌数个百分点,OpenAI 三季度年化营收增长 77%,企业营收增长 107%
AI 龙头营收之争进入口径博弈阶段,同一批业务因记账方式不同可相差约 200 亿美元,资本市场对增长数据高度敏感。
- 影响:企业若以营收数字评估 AI 供应商稳定性,需先核对记账口径,否则跨厂商比较会失真;两家公司的融资与 IPO 节奏随市场情绪波动,会改变下游采购与续约的谈判环境。
- 参考:评估 AI 供应商时可要求对方说明营收确认口径,避免直接对比不同厂商数字;值得把两家公司 IPO 进程与融资估值纳入预算周期和续约时点的考量。
- 依据:数字分别来自 Financial Times、Axios、Bloomberg、CNBC 的报道,记账差异解释引自 Axios,称两种口径均符合 US GAAP。
Update, October 9, 2026:
OpenAI's annualized revenue rate stood at roughly $50 billion at the end of September, according to the Financial Times. The previously reported figure of nearly $70 billion (see below) was based on a calculation designed to make OpenAI's revenue more comparable to Anthropic's, Axios reports.
The gap comes down to how each company books partner sales, so it's an accounting question. Anthropic records the full customer payment when selling through cloud partners, then logs the cloud provider's cut as an expense. OpenAI only counts its own share as revenue for certain partner deals.
Both methods comply with US GAAP standards, according to Axios. The difference depends on each company's role in the transaction, meaning who controls the customer relationship and who's responsible for delivering the product.
A single report rattled chip stocks and spooked investors
After the Financial Times report landed, tech stocks took a hit, with chip stocks dropping several percent. The selloff shows how jittery the market has become and how tightly it tracks the two biggest US AI companies. That nervousness may also help explain why Anthropic is moving cautiously on its IPO and why OpenAI has already pushed its own public offering to next year.
OpenAI CEO Sam Altman recently blamed the delay on safety risks, but the postponement was already in the works well before the cybersecurity incidents of recent months. Back in April, reports surfaced that OpenAI had missed its internal growth targets.
OpenAI still growing fast and hunting for fresh capital
Separately, OpenAI expects to actually hit an annualized revenue rate of at least $70 billion by the end of 2026, according to Bloomberg. OpenAI shared the figures during talks about a new funding round, Bloomberg says. The main driver is its expanding enterprise business, with overall annualized revenue growing 77 percent in the third quarter and enterprise revenue jumping 107 percent, CNBC reports.
The company is negotiating at least $30 billion in new capital at a target pre-money valuation of $1.4 trillion. In March, OpenAI raised up to $122 billion at a post-money valuation of $852 billion.
All of this feeds back into the AI bubble debate. Can revenue growth at AI companies keep pace with their massive spending commitments on compute buildouts over the long run? That will likely hinge on measurable productivity gains that companies can actually point to.
Original article from September 29, 2026:
ChatGPT now reaches 1.2 billion people every week, OpenAI says
OpenAI is nearing a $70 billion annualized revenue rate, up about 70 percent since the start of Q3, Axios first reported. The ARR metric projects current monthly revenue over a full year. Anthropic's rate reportedly passed $65 billion in July and may now match or exceed OpenAI's. Anthropic is preparing an IPO as early as November.
OpenAI's growth is driven by enterprise sales and an aggressive price war against Claude and Chinese models, a strategy the company doubled down on with the just-launched GPT-6.1-Sol. The Codex coding assistant is also growing fast, riding the popularity of the GPT-6 model family.
At DevDay, OpenAI shared updated usage numbers: more than 1.2 billion weekly ChatGPT users, over 35 million weekly ChatGPT Work and Codex users, and 2.5 million businesses on OpenAI products. The big question is whether revenue can grow fast enough to cover the massive data center bills.
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