Anthropic IPO 招股书隐去多项关键财务数据

Anthropic filed its hotly anticipated IPO prospectus on Monday, spelling out parts of the company’s business, strategy, and risk profile ahead of its public debut. Though the filing, known as an S-1, is several hundred pages long, it has some notable omissions—namely, certain financial figures.

“Claude has experienced the fastest enterprise adoption of any technology in history, as demonstrated by revenue growing from $0 at commercial launch in the first quarter of 2023 to $_____ for the three months ended September 30, 2026,” reads the first of dozens of such examples.

It’s relatively common for companies to redact certain information in their S-1 filings, and Securities and Exchange Commission rules allow for a certain degree of leniency around the practice, particularly when it comes to information considered “confidential.”

Still, it’s helpful to know what, exactly, these companies decide to leave out. In Anthropic’s case, the missing details largely revolve around financials for its most recent quarter, which concluded at the end of September, and lease agreements tied to its compute investments. While experts expect many details to be disclosed before Anthropic goes public, their current absence may hint at the uncertainties of investing in artificial intelligence, as companies work to secure sufficient compute.

Anthropic did not respond to a request for comment.

Michael Dambra, accounting and law professor at University at Buffalo School of Management, tells WIRED that there are “practical reasons” for its third quarter numbers to be absent: September 30 was only a few weeks ago, and “closing the books for a company of this size takes time.”

Companies can also be liable for misstatements in their registration statements, “so there is a strong incentive not to publish numbers before they have been fully vetted,” Dambra says. SEC rules require that “Anthropic would need to update the filing with third-quarter financials” if the company goes public any later than about mid-November, he says.

As for data center lease agreements, Erica Neuman, an accounting professor at Youngstown State University, says it’s “not unusual” for companies to redact confidential details from “contract exhibits,” which could include lease terms.

However, Neuman adds that it’s worth scrutinizing whether Anthropic’s redactions would prevent, or make it more difficult, for investors to analyze Anthropic’s financial obligations and whether they may impact the company’s cash flow.

Many of Anthropic’s financial obligations relate to compute, which is the “most significant operating cost in our business,” according to the S-1. It’s also a business risk for the company, and it’s laid out both in terms of undersupply and overinvestment. (Parts of the AI industry have been warning that chip constraints could slow the progress of AI.)

Anthropic’s prospectus puts more emphasis on the risks of overinvestment, stating that the company needs to make forward investments in compute resources that will seem “irresponsibly large” at first glance.

Chips, Anthropic explains, are approached as a “single, fungible pool from multiple strategic partners,” including Amazon, Google, Nvidia, and AMD. The company notes that it has entered into contracts “with an aggregate committed spend of more than $____, substantially all of which is related to compute and infrastructure.” Some of these contracts are set to be completed before December of 2030, while others may extend through 2045.

Though the prospectus touches on Anthropic’s compute uncertainties due to factors like limited land and power resources, Patrick Moorhead, CEO and chief analyst at Moor Insights & Strategy believes investors are owed more detail.

“It’s about characterizing the odds and impact individually across each of the areas. Anthropic owes investors more information, such as a probability of these individual issues, characterizing the percentage chance and the degree of the impact,” he tells WIRED. “Not ‘could materially impact.’”

Anthropic does provide some eye-catching estimates in footnotes. Since December 31, 2025, it has started or amended “compute and infrastructure” leases with “future minimum payment obligations” worth approximately $417 billion in aggregate. Since June 30, it’s added another $245 billion to its future payment obligations, all related to infrastructure agreements. It also expanded “certain existing commercial agreements” that it caveats “have not yet been finalized,” for an additional $125 billion to $150 billion.

Include “short term” agreements with “minimum non-cancelable payments,” Anthropic says, and that’s another $21 billion. In total, it will owe, at minimum, an estimated $808 billion if it follows through on all of this.

Ben Bajarin, chief executive and a principal analyst at Creative Strategies who tracks the chip industry, says that this is likely just the first draft of Anthropic’s prospectus, and that he expects a lot of gaps to be filled in an updated version.

Despite how common S-1 redactions are, Dambra describes them as “controversial.” While companies may argue that they’re “protecting proprietary information,” Dambra says that skeptics accuse them of using redactions “opportunistically” in order to “avoid disclosing politically or socially sensitive information.”

However, Dambra argues that redacting information may come at a cost. He notes that companies with redactions in their S-1s were also more likely to “underprice” their shares at the initial public offering.

When companies redact information in their S-1, Dambra says they typically understand that they’ve created an “information gap” between them and outside investors. Understanding that investors will treat this gap with “suspicion,” companies may feel inclined to “entice” them to participate in the IPO by setting a lower starting price.

It’s unclear what Anthropic’s opening price may end up being, or how investors may be interpreting the redactions in the company’s S-1. But according to Bajarin, the whole AI industry is one form of “blank” or another when it comes to crunching the numbers based on access to chips and infrastructure right now. So, yes, it’s all a risk.

“All of this,” he says, “just shows how absurdly early we are in enterprise adoption of an AI market that will be more than $3 trillion yearly and likely growing.”

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