MSX US Stocks Daily Watch: Anthropic Officially Files for IPO: $16.3 Billion in Half-Year Revenue, Frontier AI Business Model Faces Public Market Test for the First Time

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Today's Observations

Claude's parent company Anthropic has officially taken a key step toward going public. On October 26, Anthropic publicly filed its S-1 prospectus with the US Securities and Exchange Commission, planning to list on the Nasdaq Global Select Market under the ticker symbol "ANT." The company had previously filed confidentially; this public filing means its operating data, customer structure, compute investment, and governance arrangements are being fully presented to the public market for the first time. Based on current progress, the company could complete its listing as early as November, though the final timing still depends on SEC review, market conditions, and offering arrangements.

The most striking figure in the prospectus is revenue growth. In the first half of 2026, Anthropic generated revenue of $16.286 billion, roughly 14 times the same period a year earlier. Of this, approximately $13.064 billion came from usage-based API and model invocation fees, and about $3.222 billion from subscription business. This structure indicates that Anthropic is currently closer to an AI infrastructure and enterprise software company that charges based on compute usage.

Anthropic's book net loss for the first half reached $80.75 billion, but approximately $72.4 billion of that came from fair value changes on financing instruments such as convertible notes, derivative liabilities, and SAFEs. As the company's valuation rises, the book liability value of these instruments—convertible into shares in the future—increases in tandem, generating massive non-cash expenses. Excluding stock-based compensation, non-cash charitable contributions, and certain litigation expenses, adjusted operating profit was approximately $1.618 billion. Second-quarter operating profit alone was about $974 million, making it the first quarter to achieve operating profitability during the prospectus disclosure period.

The significance of this prospectus goes beyond adding another large tech company. Anthropic could become the first frontier large-model developer to list on the public market, giving investors their first direct window into the relationship between model invocation revenue, enterprise AI adoption, compute costs, and long-term infrastructure commitments.

Data in a Minute

• First-half 2026 revenue of $16.286 billion, roughly 14 times the same period a year earlier;

• Usage-based revenue of approximately $13.064 billion, accounting for about 80% of first-half revenue;

• Subscription revenue of approximately $3.222 billion, accounting for about 20%;

• First-half operating loss of approximately $693 million;

• Adjusted operating profit of approximately $1.618 billion, with an adjusted operating margin of about 10%;

• Second-quarter operating profit of approximately $974 million, the first quarterly operating profit during the disclosure period;

• First-half book net loss of $80.75 billion;

• As of the end of June, the company held approximately $131.7 billion in cash, cash equivalents, and other short-term liquid assets;

• As of the end of September, more than 11,900 customers contributed annual revenue of $100,000 or more;

• More than 1,900 customers contributed annual revenue of $1 million or more;

• Approximately 250 customers contributed annual revenue of $10 million or more;

• In the first nine months of 2026, the top five customers together contributed approximately 25% of revenue, with no single customer accounting for more than 10%;

• More than half of Fortune 500 companies and more than 30% of Global 2000 companies have become Anthropic customers, each contributing at least $100,000 in revenue over the past 12 months;

• Approximately 48% of first-half revenue was generated through cloud marketplace channels such as AWS, Google Cloud, and Microsoft Azure;

• Anthropic disclosed a net revenue retention rate of approximately 900%, reflecting rapid expansion of usage among existing enterprise customers, though this metric excludes Claude Pro and Max individual subscribers;

• The company's valuation was approximately $965 billion at the time of its May 2026 private financing;

• On the day the filing was published, the AI and semiconductor sectors strengthened broadly, with the Philadelphia Semiconductor Index rising approximately 2.9%.

MSX View

The most important significance of Anthropic's listing is that the public market can finally price a frontier large-model company on a standalone basis. Previously, investors participated in the generative AI industry mainly through indirect investments in chip companies such as Nvidia and Broadcom, cloud service providers such as Amazon, Microsoft, and Google, and data center, power, and optical communications companies. AI revenue at these companies is typically blended with other businesses, making it difficult for the market to accurately determine how much end customers are actually paying for large models.

Anthropic's prospectus, for the first time, presents a relatively complete picture of a frontier model company's revenue structure. About 80% of first-half revenue came from usage-based billing, meaning revenue can grow with enterprise API calls, Claude Code usage, and the number of agentic tasks, rather than relying entirely on fixed-seat subscriptions.

This also explains Anthropic's net revenue retention rate of approximately 900%. This figure does not mean the customer count grew ninefold; rather, it means that among the existing customer cohort that qualifies for the calculation, quarterly revenue contributed a year later was approximately nine times the prior level. Enterprises may start with a few developers trying Claude, then expand it to code development, customer service, data analysis, internal search, and automated workflows, rapidly scaling up model invocation volume. However, as the customer base expands and enterprises complete initial deployments, usage growth may naturally slow. Anthropic also notes in its prospectus that future revenue growth may decelerate and fluctuate.

Claude Code is another key to understanding Anthropic's business model. Unlike ordinary chatbots, coding agents can continuously read code, modify files, run tests, and complete multi-step tasks, consuming significantly more tokens and compute resources per user. The prospectus shows that highly active enterprise users of Claude Code spend far more per month than enterprise users who do not use the coding tool. This means coding is not just a standalone product but more likely an entry point for Anthropic to deepen enterprise customer usage.

The financial data also shows that Anthropic's unit economics are improving. The company's first-half operating loss has narrowed to $693 million, and it achieved its first quarterly operating profit in the second quarter. Compared with the $80.75 billion book net loss, operating profit better reflects the state of day-to-day business, since the vast majority of the net loss comes from non-cash remeasurement charges on financing instruments as valuation rises.

But adjusted operating profit should also not be understood as the company having fully solved its profitability problem. This metric excludes stock-based compensation, non-cash charitable contributions, and certain litigation expenses. For a company that needs to continuously recruit top researchers and continually train new models, stock-based compensation still carries a real cost of shareholder dilution.

The bigger variable is compute commitments. Anthropic has signed large-scale long-term infrastructure agreements with partners such as Amazon, Google, and Microsoft. Some agreements require the company to bear minimum purchase commitments regardless of how much compute it ultimately uses. Such arrangements can lock in scarce GPU, TPU, network, and data center capacity in advance, ensuring Anthropic does not miss customer demand due to insufficient compute, but they also create higher fixed costs.

If Claude's enterprise invocation volume continues to grow, locking in compute in advance can become a competitive advantage; if demand growth slows, model prices decline, or new architectures significantly reduce inference costs, these long-term commitments could compress cash flow and capital returns.

The dual role of cloud partners also deserves attention. AWS, Google Cloud, and Microsoft Azure not only provide Anthropic with compute and sales channels but may also be its investors, creditors, or potential competitors. About 48% of first-half revenue was generated through cloud marketplaces, indicating that these channels significantly lower the barrier for enterprises to purchase Claude, but also meaning that Anthropic's distribution, collections, and infrastructure depend to a considerable extent on a few large tech platforms.

Customer concentration is currently at a controllable but watch-worthy level. The top five customers contributed about 25% of revenue, with no single customer accounting for more than 10%; at the same time, more than 1,900 customers generate annual revenue of $1 million or more. This shows that Anthropic has a broad enterprise customer base, but some large contracts can still significantly affect quarterly growth.

Valuation will become the most closely watched issue during the IPO phase. Based on media estimates of a $1.5 trillion to $2 trillion valuation, even simply annualizing first-half 2026 revenue, Anthropic's corresponding price-to-sales ratio would still be at a high level. How high a valuation the market is willing to assign depends on whether investors believe current revenue growth, customer expansion, and unit economics can continue, and whether future cash flow can cover long-term compute commitments. Therefore, Anthropic's IPO is testing an entirely new business model: whether enterprise spending on agents and model invocations can grow fast enough to cover the R&D, talent, and compute costs required to train the next generation of models.

This prospectus has already proven that enterprise AI demand truly exists, and Claude has already moved from an experimental product into large-scale deployment. What needs to be proven next is whether rapidly expanding invocation volume can continuously translate into operating profit and free cash flow. If Anthropic successfully lists and obtains a high valuation, it could establish the first public-market pricing benchmark for OpenAI and other large-model companies, and would further influence the valuation logic of the Nvidia, cloud computing, data center, power, and optical communications supply chains.

Frontier AI is moving from a technology race backed by private capital into a phase of sustained public-market scrutiny. Anthropic's filing of its S-1 is precisely the starting point of this phase.

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