According to Woofun AI, on October 14, Anthropic held a pre-IPO investor meeting at its headquarters in San Francisco, officially disclosing its financial performance for the third quarter. This highly anticipated AI startup not only continued its strong revenue growth trajectory but also announced to the market that it has achieved adjusted profitability.
This financial turning point marks Anthropic’s transition from a phase of pure growth pursuit to a critical juncture where profitability is being tested, establishing a core factual anchor for its upcoming IPO.
The explosive growth in revenue and a deep breakdown of profitability definitions form the core highlights of this earnings report. Anthropic's revenue in the third quarter reached $16.8 billion, a 45% increase from $11.6 billion in the second quarter, following $4.7 billion in the first quarter. The consistent growth over three consecutive quarters clearly reflects ongoing expansion in enterprise demand for its models and services.
However, profitability has also drawn significant market attention. Although the company reported adjusted profit for the third quarter, it is important to note that this differs fundamentally from net income calculated under generally accepted accounting principles (GAAP). Adjusted metrics typically exclude certain stock-based compensation, asset impairments, and other specific items, and therefore cannot be directly equated with sustained profitability across the company’s overall operations. Looking back at the full year of 2025, Anthropic incurred an operating loss of over $8 billion and a net loss nearing $42 billion. Previous reports on its financial condition indicated that the massive net loss in 2025 was influenced by factors such as the revaluation of financing-related liabilities, resulting in a clear distinction between actual operating losses and net losses.
Woofun AI's compiled data shows that to determine whether a company truly has sustained profitability, it is necessary to review complete financial statements and conduct an in-depth analysis of profit composition and operating cash flow, rather than relying solely on adjusted data from a single quarter.
The refined product portfolio, channel synergies, and intense cost competition have collectively driven this performance. Revenue growth primarily stems from continued adoption of the Claude series by enterprise clients, with increasing demand from professional fields such as finance, law, and software development, as generative AI becomes increasingly integrated into everyday business processes. The Claude 4 series, launched in May this year, enhanced the model’s competitiveness in professional tasks, while the recently released Haiku 5.5 focuses on low-cost applications. This model reduces pricing by 75% compared to its predecessor, aiming to serve scenarios sensitive to inference efficiency and cost, and to directly compete with models such as OpenAI’s GPT-6 Luna.
In addition, cloud service partners provide Anthropic with important sales channels. Google (GOOGL.US) and Amazon (AMZN.US) are both investors in the company and providers of computing power. Claude can reach enterprise customers through Google Cloud and Amazon (AMZN.US) AWS, leveraging the existing customer networks of these cloud platforms to expand sales.
This partnership, combining investment, computing power supply, and commercial distribution, provides strong support for Anthropic’s expansion into the enterprise market. As the business scales, whether these channels can continue driving revenue growth and help the company control customer acquisition and computing power costs will directly impact its ability to sustain profitability.
The competitive landscape is being reshaped as Anthropic’s rivalry with OpenAI and emerging players intensifies. Anthropic’s $16.8 billion revenue in Q3 has prompted the market to reassess its competitive position relative to OpenAI. Investors have recently lowered OpenAI’s annualized revenue forecast from $70 billion to approximately $50 billion. On a simple quarterly average basis, this equates to about $12.5 billion per quarter—lower than Anthropic’s disclosed $16.8 billion in Q3.
However, these two sets of figures are not directly comparable. Anthropic reported actual quarterly revenue, while OpenAI’s $50 billion figure represents investor expectations for annualized revenue, not confirmed quarterly financial data. Based solely on these numbers, it cannot be concluded that Anthropic has fully surpassed OpenAI in revenue scale. Related reports also noted that the market previously estimated OpenAI’s revenue by extrapolating Anthropic’s growth rate, arriving at an annualized figure of approximately $7 billion, which was later revised downward. This indicates that investors are reassessing the growth trajectories of both companies and no longer rely solely on OpenAI’s prior industry leadership to judge its revenue performance. The two companies also have different business structures: OpenAI has a large individual user base, with subscription products serving as a key revenue source, while Anthropic focuses more on enterprise clients, whose contracts are typically larger in value, and whose revenue recognition and delivery timelines may impact quarterly results.
Meanwhile, competitors are also increasing. Meta (META.US) recently launched Muse Wonder, aiming to compete with ChatGPT and Claude on tasks such as programming, finance, and law. Chinese companies like Zhipu and Alibaba (BABA.US) continue to release models at lower prices, vying for enterprise customers and developer markets. The gap in model capabilities, inference costs, and product pricing are collectively influencing corporate purchasing decisions. Haiku 5.5’s significant price reduction reflects Anthropic’s need to respond to intensifying price competition while expanding its market presence.
Valuation reconstruction and future investment commitments will become key metrics for assessing Anthropic’s long-term value. Market expectations for Anthropic’s valuation have reached $1.8 trillion to $2 trillion. According to the prospectus leaked by media in September, Anthropic’s revenue is projected to grow twelvefold in 2025 to nearly $4.6 billion, while its operating loss is expected to expand from $2.98 billion in 2024 to $8.06 billion. At that time, its price-to-earnings ratio appeared extremely high. However, based on current third-quarter revenue of $16.8 billion, the simple annualized revenue amounts to approximately $67.2 billion.
At a $2 trillion valuation, the price-to-sales ratio is approximately 30x. For an AI company still in a phase of rapid growth, this valuation appears more realistic. Achieving adjusted profitability in Q3 does not mean Anthropic has fully covered all its long-term investments, but profitability does ensure the capacity to increase investment. Anthropic has committed to investing at least $518 billion over the next decade in cloud services, computing power, and infrastructure. At least based on the Q3 financial results, Anthropic’s IPO valuation has withstood a significant test.