Anthropic is preparing for what could be the largest IPO in history, with reports pointing to a valuation of $2 trillion or more. On June 1, the company confidentially filed for an IPO at a $965 billion valuation, after closing a $65 billion Series H funding round. Media reports suggest a public prospectus could emerge after Labor Day, with a listing as early as late September or October 2026.
If the final IPO figures end up close to the expected numbers, Anthropic would surpass SpaceX’s record-setting June 2026 debut, which raised $86 billion and pushed the rocket company’s valuation past $2 trillion on the first day of trading.
Find a primer of Anthropic’s upcoming IPO below, backed by company documents and proprietary research found in AlphaSense.
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Company Overview
Anthropic has been transforming from a research-focused frontier AI lab into a dominant enterprise AI provider through the continued release of state-of-the-art AI models and specialized products for key industries from healthcare to finance.
The company touts a “safety-first” philosophy built around providing reliable, secure, and human-aligned AI, positioning it as a preferred platform for highly regulated industries. Its current large language model lineup includes Claude Fable 5, Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5. The models differ in latency and pricing, but they all support text and image input, text output, multilingual capabilities, vision, and tool use.
The majority of Anthropic’s revenue (~75%) comes from pay-per-token API calls rather than consumer subscriptions. That’s a different mix than that of its competitor OpenAI, whose revenue leans more heavily on ChatGPT’s consumer base. Anthropic has seen a massive surge in high-spending business users: customers spending more than $1 million annually on the platform doubled to 1,000 in April 2026, up from 500 in February 2026.
Financial Performance
Anthropic’s growth has been extremely fast-paced, driven by rising enterprise adoption and the launch of coding tools. The company told investors its second-quarter revenue was more than $11.5 billion, marking a 1,360% increase from the same period a year prior and nearly 2.5x its first quarter total of $4.7 billion. By comparison, OpenAI reached $6.7 billion in second-quarter revenue, according to media reports. Anthropic also reported its annual run-rate revenue was above $47 billion as of May 2026, which was up from roughly $10 billion across all of 2025.
The company requires enormous amounts of computing power and infrastructure to develop and maintain its AI models and has historically relied on equity financing from VC firms and corporate partners. However, recently it has turned to private credit and structured debt facilities to manage its massive infrastructure cash needs. In May 2025, Anthropic secured its first major structured debt instrument with a $2.5 billion debt financing facility from a syndicate including Morgan Stanley, Goldman Sachs, and other major lenders. Investors remain concerned about Anthropic’s massive compute commitments because the spending creates significant margin pressure, raising the bar for future revenue growth and monetization.
On the equity side, Amazon has been Anthropic’s largest stakeholder. Amazon’s investment reached $8 billion in 2024 and grew in 2026 when the two companies expanded their partnership. In the second quarter of this year, AWS and Anthropic announced an expansion of their strategic collaboration, with Anthropic committing to spend more than $100 billion over 10 years on AWS cloud and chip technologies.
Market Competition
Anthropic has positioned itself as a core infrastructure-layer tool for highly regulated, risk-averse, and high-stakes enterprise environments. While OpenAI’s ChatGPT captured early consumer attention, Anthropic has carved out a defensible market position by prioritizing predictability, governability, and safety over broad horizontal consumer experimentation.
Anthropic’s strategic positioning relies on being the intelligence infrastructure for existing software rather than replacing it, which has been reinforced by its partnerships with major backers including Amazon, Google, and Salesforce.
Unlike competitors that rely heavily on expanding their internal direct sales force, Anthropic scales through the Claude Partner Network, relying on global systems integrators like Accenture, Deloitte, and PwC to embed Claude directly into their multi-year digital transformation budgets. This services-led strategy targets complex middle-office workflows like compliance, underwriting, and automated software modernization.
What the Experts Are Saying
I think Anthropic is so far ahead, especially in our Claude Code, and it is deeply embedded into the harness engineering that we're seeing promising results, where we also have standardized Opus 4.6 through Cursor, and that is one of the sanctioned LLMs that we use across the board for all engineering tasks.
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.
It's a multi-agent orchestrated system which does things like, ‘Here is a complex equity analyst bot, generate me a forecast, generate me the P&L, generate me the Sharpe ratio. For these, make sure you apply these guardrails and principles.’ When we apply that, it's a complex backend task, which Claude does best.
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