Skip to content
Resources > Research Articles

Anthropic IPO Preview

By Ed Moya, Market Intelligence Strategist and Shelly Hagan, Business & Finance EditorPublished:
anthropic ipo preview

Anthropic is moving closer to what could be the largest IPO in history by capital raised, following its October 26 S-1 filing. Reports suggest a valuation range of $1.5 trillion to $2 trillion; at $1.5 trillion, Anthropic would rank as the third-largest IPO by valuation, behind SpaceX and Saudi Aramco. The company was last valued at $965 billion following its $65 billion Series H funding round in May 2026.

The S-1 filing revealed tremendous revenue growth, with first-half 2026 sales reaching $16.3 billion, up from roughly $1.2 billion a year earlier. Customer concentration has fallen sharply, with the largest customer accounting for 11% of revenue during 1H26, down from 43% in 2023. Still, two customers represented roughly one-fifth of first-half sales. Questions remain about the size of Anthropic's total addressable market and whether that growth can be sustained. The company reported an $80.7 billion net loss, largely reflecting noncash accounting charges.

Valuation will likely depend on whether revenue growth can maintain its momentum and how much profit Anthropic can retain from sales through cloud platforms. The company has yet to disclose an offering price, share count, or fundraising target, but reports suggest it could raise as much as $100 billion, potentially surpassing SpaceX's record IPO proceeds. Anthropic plans to trade on the Nasdaq under the ticker ANT. Investors could get a clearer picture of pricing around the expected November 9 roadshow launch, with a market debut possible the following week.

Read more about Anthropic’s upcoming IPO below, based on insights from AlphaSense’s SuperAnalyst, or see the interactive SuperAnalyst dashboard for yourself.

Related Reading: Top IPOs to Watch in 2026

Company Overview

Anthropic has moved well beyond its roots as an AI research lab, with enterprise customers increasingly using Claude for software development, research, and other business functions. Its business model relies heavily on consumption-based revenue rather than subscriptions, with usage accounting for 83% of revenue in the period discussed in its S-1, up from 75% in the earlier comparison period.

The filing also showed how quickly its enterprise customer base is expanding. Customers generating at least $100,000 in revenue rose from roughly 950 a year earlier to nearly 12,000 as of September 2026. About 2,000 customers now generate at least $1 million in trailing annual revenue, while approximately 250 generate $10 million or more on an annualized basis.

Anthropic continues to emphasize safety and reliability as selling points, particularly for companies operating in regulated industries. Its Claude models compete across a growing range of enterprise applications, while its partnerships with major cloud providers help extend its reach.

Financial Performance

Anthropic's revenue growth remains exceptional, but investors are increasingly focused on whether the company can maintain that pace as its computing costs rise. Revenue growth moderated in the third quarter after more than doubling sequentially in the second quarter, raising questions about whether demand is normalizing or limited by available computing capacity.

One encouraging sign is improving efficiency. The S-1 highlighted a 5.2-fold increase in revenue generated per dollar of compute, suggesting Anthropic is making better use of its infrastructure as demand expands. Stronger inference economics could eventually improve profitability, although training costs, infrastructure spending, and cloud distribution fees remain significant pressures.

The scale of Anthropic's computing commitments is another major concern. The company has secured capacity agreements with Broadcom, SpaceX AI, Google, Amazon, Microsoft, and Nscale, including arrangements valued at more than $100 billion with several partners. These agreements should not be confused with its contractual liabilities. The filing separately identified approximately $245 billion in future minimum payment obligations, highlighting the financial burden associated with securing enough computing capacity to support future growth.

Anthropic has historically relied on large equity raises and strategic partnerships to fund its expansion, with $141 billion in capital raised through June 2026, according to the filing. The IPO would provide additional financing, but the bigger question is whether revenue growth and improving unit economics can eventually offset its enormous infrastructure requirements. Anthropic's ability to secure funding at attractive terms will become increasingly important as the AI industry shifts toward more capital-intensive growth.

Anthropic's founders will retain 50.1% of the company's voting power through a collective ownership structure. That gives the founders control over major corporate decisions, leaving public shareholders with limited influence despite the substantial capital being raised.

Market Competition

Anthropic has established a strong position in enterprise AI, particularly in software development and complex business workflows. While OpenAI has benefited from ChatGPT's consumer reach, Anthropic has focused more heavily on companies incorporating AI into their operations. Its growing base of high-spending customers suggests that enterprise adoption is broadening, although competition for those workloads continues to intensify.

Partnerships with Amazon, Google, and other cloud providers give Anthropic access to a much larger customer base, but they also raise questions about how much revenue the company retains after distribution costs. Competition from open-weight models adds another challenge, potentially putting pressure on pricing as businesses gain access to cheaper alternatives. Anthropic also intends to keep Claude free of advertising, leaving enterprise adoption and usage growth as important drivers of future revenue.

The IPO comes at a critical point for the broader AI industry. Investors are increasingly questioning whether the enormous spending on computing infrastructure will generate sufficient returns, particularly as credit markets become more selective. Anthropic's offering will be an important test of how much capital equity investors are willing to commit to AI growth before the industry demonstrates more consistent profitability.

Anthropic's focus on AI safety also comes with significant risks. The company devoted 94 pages of its S-1 to risk factors, including the possibility of a catastrophic AI-related incident that could exceed available insurance coverage. The filing also disclosed instances of models exhibiting deceptive or self-preserving behavior during testing, highlighting the challenges of controlling increasingly advanced AI systems.

What the Experts Are Saying

Even Anthropic, it is slightly more expensive. However, if we upload contextual heavy data, meaning actually more tokens, longer context usually, Anthropic does give us slightly better results than the OpenAI GPT-3 or four. We began to move our operation to Anthropic. I remember the contract signed in Q3 2024, then gradually we began to move the operation, move the model, move the projects from OpenAI to Anthropic. Currently, we still have both, but Anthropic actually is taking more shares from us.

The most important, nobody buys models. You buy an ecosystem. You buy a platform. [...] Once you get into this, you realize that a model is one of approximately 75 decisions that you have to make as an enterprise.

A lot of the assumptions made by the AI labs were not really geared around, 'We'll figure out how to make the gross margins work later.' I think the assumption was more on the demand side of, 'We're going to make it so good that people will pay so much for it.' [...] For me, that is still an open question. I don't know if people are actually really willing to pay that much money for it.

With AlphaSense's SuperAnalyst, an always-on AI agent purpose-built for financial and strategic workflows, you can run an in-depth analysis for any upcoming IPO. Sign up for your free 2-week trial of AlphaSense today.

About the Authors
  • Ed Moya

    Ed Moya, Market Intelligence Strategist

    Ed Moya is a Senior Macro Analyst at AlphaSense.Β  He was previously chief market strategist at OANDA. Before that, he was the head of FX at Trading Advantage. His particular expertise lies across a wide range of asset classes including stocks, commodities, fixed income, FX and cryptocurrencies. Moya frequently appears as a markets analyst on CNBC, Bloomberg, BBC News, Coindesk, and Yahoo Finance. His economic and market insights are frequently quoted in the Wall Street Journal, Bloomberg, Reuters, The Associated Press, CNN, Fox Business, and the New York Times.
  • shelly hagan headshot

    Shelly Hagan, Business & Finance Editor

    Shelly is a business and finance editor at AlphaSense. She brings years of experience as a business journalist and a background in investment communications and marketing.

Explore more

Shein IPO Preview

As Shein prepares for its public debut on September 1, we provide a deep dive on the e-commerce company backed by AlphaSense research.
shein ipo preview

Top EMEA IPOs to Watch in 2026

Using AlphaSense intelligence, we break down the EMEA companies most likely to IPO in 2026 and what the market expects from each.
EMEA IPOs 2026

Top APAC IPOs to Watch in 2026

Discover the most anticipated Asia-Pacific IPOs of 2026, from e-commerce and fintech companies to chipmakers and more.
top apac ipos 2026

Transform intelligence
into advantage

Develop bold strategies, seize opportunities,
and lead with clarity and confidence.