Anthropic's gross margins went from minus 94 percent in 2024 to plus 40 percent in 2025, according to The Decoder. That is the number that made the company worth $1 trillion.
Not the valuation headline. Not the AI race framing. The margin transformation: a company that was burning nearly a dollar on every dollar of revenue 15 months ago is now keeping 40 cents on each one. That is the explanation for why Anthropic commands $688 billion on secondary markets, why CFO Krishna Rao is fielding $800 billion in unsolicited offers, and why the IPO Goldman Sachs, JPMorgan, and Morgan Stanley are rumored to be underwriting this October has the sector watching.
The raw revenue numbers make the trajectory concrete. Anthropic's annualized revenue hit $30 billion in April, up from $9 billion at the end of 2025, Business Insider reported. More than 1,000 customers are spending over $1 million a year with the company, a figure that doubled in less than two months, the same report said. Eight of the Fortune 10 are Anthropic customers, Anthropic said in its Series G announcement. Claude Code, the coding agent Anthropic released less than a year ago, is already running at a $2.5 billion revenue run-rate and doubling every few months, the company confirmed.
The margin story turns those growth numbers into a structural argument. When a company can expand margins at the same time it is expanding revenue, it is no longer a startup with a venture-backed roadmap. It is a business with genuine pricing power. Compute costs are real, and the industry assumed they would stay punishing at scale. Anthropic's swing from minus 94 percent to plus 40 percent suggests either that inference costs have fallen faster than the market expected, or that customers are willing to pay premiums for models they trust to be safer, or both. The $30 billion annualized revenue running through a +40 percent gross margin business produces roughly $12 billion in gross profit a year. That anchors a valuation differently than a multiple applied to a loss-making company.
Anthropic raised $30 billion in Series G in February at a $380 billion post-money valuation, led by GIC and Coatue with D.E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX as co-leads. The company said at the time it had crossed $14 billion in annualized revenue. It has more than doubled that in twelve weeks. The valuation math on secondary markets reflects something real: this is not a company still proving product-market fit.
The safety-first brand Anthropic built its reputation on took a hit on the same day the valuation story was making the rounds. Hackers gained unauthorized access to Mythos, the restricted Claude model Anthropic had described as too dangerous to release publicly. SiliconANGLE reported that access was obtained through a credential belonging to a contractor who evaluates Anthropic models, combined with details from a data breach at AI recruiting startup Mercor. The restricted model was offered to Apple, Amazon, Cisco, CrowdStrike, Google, JPMorgan, Microsoft, and Nvidia, along with roughly 40 other organizations. Euronews Next reported that Treasury Secretary Scott Bessent convened a meeting with senior American bankers in Washington in April to discuss the model before the breach was public.
Anthropic is investigating the scope of the unauthorized access. The company had previously described Mythos as having coding ability that can surpass all but the most skilled humans at finding and exploiting software vulnerabilities, SiliconANGLE noted. That is the model that went into private testing and then got popped through a supply chain attack on the same day it was announced.
The breach complicates the IPO story in a specific way. Anthropic's position in the market rests partly on being the AI company that enterprises and governments trust with sensitive workloads. That is not an accident: it is a deliberate commercial strategy. The safety-first positioning has been a differentiator in conversations with regulators and large buyers. A breach involving a model designed around controlling near-superhuman coding capabilities puts that positioning under pressure at exactly the moment the company needs maximum credibility heading into a roadshow.
OpenAI, which closed an $852 billion funding round in March, is watching its lead narrow. One investor who backed both companies told the Financial Times that justifying OpenAI's valuation required assuming an IPO outcome of $1.2 trillion or more, TechCrunch reported. Jai Das, president of Sapphire Ventures, called OpenAI the Netscape of AI, the same story said.
Polymarket reflects a 65 percent implied probability that Anthropic will finish 2026 with a higher valuation than OpenAI. That is not a fundamental analysis. It is what people who put money on the line think is most likely. It is also a reminder that the secondary market valuations being cited for both companies are not price discovery from public markets. Caplight and similar platforms reflect actual trades, but in volumes thin enough that large positions can move prices. The $1 trillion figure for Anthropic is an implied valuation derived from the most recent transactions and offers, not a price an investor can actually exit at today.
The margin story does not require believing in that valuation to be true. It only requires believing that the business is structurally different from what it was 15 months ago. Anthropic was raising at $380 billion in February and burning money on every sale. The CFO is now turning down checks at $800 billion and fielding more. The margin transformation explains why the math on that valuation, however frothy the secondary market makes it, is not obviously insane. The company that could not make money on its product figured something out. What exactly, and whether it is durable, is the question worth asking before the IPO roadshow begins.