Anthropic Revenue Hits $65 Billion Ahead of Blockbuster IPO

Anthropic revenue has crossed a milestone that even the company’s own investors did not expect this soon. The AI lab behind the Claude models saw its annualized revenue run rate surge to 65 billion dollars by the end of July, according to a Bloomberg report cited by TechCrunch. That is up from 47 billion dollars in May and just 9 billion dollars at the end of last year.

The jump adds roughly 18 billion dollars in annualized revenue in about two months. Few companies in any industry have grown that fast, and the pace is now central to Anthropic revenue expectations as the company prepares to go public, possibly as soon as this fall.

Anthropic Revenue Growth Accelerates Instead of Slowing Down

Annualized revenue run rate is a projection of a full year’s revenue based on a recent, shorter period of sales. It is a common way for fast growing private companies to show momentum to investors without waiting for a full fiscal year to close.

What stands out about the latest revenue figures is that the growth rate is not cooling as the company gets bigger. Going from 9 billion to 47 billion dollars over most of a year was already remarkable. Adding another 18 billion dollars in just two months suggests demand for Claude models, especially among enterprise and coding customers, keeps climbing rather than leveling off.

Anthropic did not immediately respond to a request for comment on the figures, and the company has not published official second quarter results. The numbers come from investor briefings and reporting rather than a formal earnings release, since Anthropic remains a private company.

How Anthropic Revenue Compares to OpenAI

The Anthropic revenue surge puts the company in a different growth bracket than its closest rival. OpenAI has doubled its own revenue to about 40 billion dollars, up from 20 billion dollars at the end of 2025, Bloomberg reported the week before the Anthropic numbers came out.

Doubling revenue in under eight months would normally be considered spectacular. But the company has grown more than seven times over the same rough window, even though the two companies may calculate their metrics slightly differently.

That gap has changed how investors talk about the two labs. OpenAI is still the larger company by total revenue and remains the household name behind ChatGPT. Yet Anthropic growth rate has captivated investors in a way OpenAI recent numbers have not, based on the reaction described in Bloomberg and Financial Times coverage of both companies’ IPO preparations.

The Road to an Anthropic IPO

Both Anthropic and OpenAI have filed confidential paperwork for a public listing. Anthropic is now expected to reach the public markets first, with a debut possibly landing this fall.

The Financial Times reported that Anthropic will seek a public valuation of 2 trillion dollars or more. If that holds, it would represent the largest market debut on record, ahead of any prior technology listing.

Anthropic was last valued at 965 billion dollars in late May, when it closed a 65 billion dollar funding round. The fact that its annualized revenue figure now matches the size of that funding round, at 65 billion dollars, is one reason bankers and analysts see the IPO target as ambitious but not unreasonable given the current trajectory.

Investors reportedly expect the growth to continue at close to the same pace through the rest of the year, which would put the company between 100 billion and 120 billion dollars in annualized revenue by December, per Financial Times estimates.

Why the Broader AI Infrastructure Race Matters Here

Anthropic revenue growth is not happening in isolation. It is tied directly to a much larger buildout of AI compute across the industry. AMD has already committed up to 5 billion dollars to help expand Anthropic infrastructure, and the company has struck large compute agreements with cloud partners this year.

Rivals are moving just as aggressively on the infrastructure side. Nvidia said this week it will invest 1.5 billion dollars in SB Energy, a data center developer tied to SoftBank and OpenAI, and will supply up to 105 billion dollars in credit toward a facility near Cincinnati. Details of that deal follow an earlier Nvidia and OpenAI data center agreement in Ohio that was restructured earlier this month.

Payments infrastructure is being pulled into the same race. Stripe is reportedly closing in on a deal worth more than 7 billion dollars to acquire the AI gateway startup OpenRouter, a sign that companies well outside the traditional AI labs now see model access and routing as core infrastructure worth owning.

Meta has taken a different approach, releasing an open weight model called Glimmer that anyone can download and run locally, positioned as a counterweight to closed frontier systems from labs like Anthropic and OpenAI. The contrast highlights how differently major players are betting on where AI value will actually accumulate.

What This Means for the Wider Market

Sky high private valuations have made 2026 a landmark year for tech listings. ByteDance was recently valued at 550 billion dollars as investor appetite for large tech names stayed strong, and the growth here suggests AI labs specifically are commanding an even steeper premium.

For enterprise customers, the growth numbers offer a signal about which AI vendors are winning production workloads rather than just headlines. Anthropic has leaned heavily into coding tools and enterprise contracts, areas where usage tends to be sticky and recurring rather than a one time experiment.

For competitors, the pressure is now less about matching model benchmarks and more about matching revenue conversion. A lab can top a leaderboard for a few weeks, but Anthropic revenue at this scale reflects sustained enterprise adoption that is much harder to replicate quickly.

For more coverage of the deals and dollars reshaping the AI industry, including the Nvidia and OpenAI data center buildout and the Stripe OpenRouter acquisition, check back with Welp Magazine as this story develops.