A revenue curve that rewrites expectations
Anthropic’s revenue growth is the single most important number in Alexander Green’s “Secret Backdoor to the REAL #1 Tech IPO of 2026” presentation, and it is the reason the pitch has landed with such force. The company went from roughly $1 billion in annualized revenue in early 2025 to $11.5 billion in a single quarter, and by the end of July, Bloomberg reported an annualized run-rate of $65 billion, up from $47 billion in May. That is a jump of $18 billion in about two months, a pace that is hard to find anywhere else in technology.
For context, the speed of that ramp is what separates Anthropic from almost every other private AI company. Most firms would be pleased to add $18 billion in a year. Anthropic added it in a matter of weeks on an annualized basis. Our AI valuations explainer covers what that kind of growth does to the multiple an investor is willing to pay.
Where the revenue comes from
The composition of the revenue matters as much as the total. Anthropic’s AI coding business, built around Claude Code for software engineering, grew from about $500 million to $2.5 billion in five months. That is a fivefold increase in the product line that most directly addresses business customers. The company now counts more than 300,000 business customers, which anchors the revenue in recurring enterprise relationships rather than one-off consumer usage.
The business-first strategy is deliberate. Anthropic pivoted early toward tools for companies and spent less subsidizing mass-market free users than rivals like OpenAI and ChatGPT. Claude has around 350 million monthly actives, a smaller audience than ChatGPT’s more than one billion weekly users, but the revenue per employee tells the story. At $11.5 billion a quarter across roughly 5,000 employees, revenue per worker runs near $8 million, edging toward $9 million annualized. That efficiency is unusual and is a big part of why Green calls Claude “far and away the best AI on the face of the planet.”
The profit number in context
The Wall Street Journal reported an operating profit of $559 million in the most recent quarter. That figure deserves careful framing. It is an operating number, not GAAP net income, and it comes from a company that is preparing an IPO and filing a confidential S-1, where the incentive to present favorable optics is real. It is a strong signal that the enterprise strategy is starting to generate margin, but it is not the same as a clean, audited earnings statement. Investors should hold the two apart.
What it means for the IPO
Green floats a $2 trillion IPO valuation, and the revenue curve is what makes that number plausible enough to debate rather than dismiss. A $65 billion run-rate against a $2 trillion target implies roughly a 30-times-sales multiple, which is high but not unheard of for a company still compounding at this rate. The question is whether the growth can hold long enough to grow into that price. For the mechanics of how investors actually get exposure before the IPO, see our Anthropic IPO explainer.
The honest takeaway is that Anthropic’s revenue growth is real and impressive, and it is the strongest part of Green’s thesis. The weaker part is the price, which is always the harder half of the equation.
The mix behind the margin
The quality of Anthropic’s revenue is unusual because so much of it comes from paying business customers rather than free users. The company moved early into enterprise tools, and Claude Code, its coding product, grew from about $500 million to $2.5 billion in five months. More than 300,000 business customers now anchor the top line. Claude has around 350 million monthly actives, well below ChatGPT’s more than one billion weekly users, but a paying enterprise account is worth far more than a free consumer, and that mix is why the operating margin is starting to turn positive while the company still spends heavily.
The model wars that shaped the numbers
Anthropic’s revenue strategy is a bet that the business market, not the mass consumer market, is where durable AI economics live. Rivals subsidized free users to win share, while Anthropic spent less on mass-market subsidies and more on reliability and enterprise features. Green’s thesis is that this higher-margin, business-focused approach is the more durable one, and the revenue per employee, near $8 million and trending toward $9 million, is the clearest evidence. For more on how that choice separates Anthropic from the pack, see our AI stocks explainer.
What to watch next
The number that will move the story most is whether the run-rate keeps accelerating or starts to flatten. A jump from $47 billion in May to $65 billion in July is extraordinary, but it is also a two-month snapshot, and public markets will want to see it hold. The confidential S-1 will eventually reveal the audited picture, and that filing, not the marketing pitch, is where the real revenue story will be told.
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