Anthropic Aims to Top SpaceX's Record $86 Billion IPO

Anthropic, the maker of the Claude AI models, is preparing a public listing that could become the largest initial public offering in history. According to a Bloomberg report published August 21, 2026, the company expects its IPO to match — or even top — the size of SpaceX’s record-setting debut, which raised $86.2 billion including the overallotment option. If Anthropic gets there, it would cement a historic shift: the first time AI companies, not rockets or e-commerce, set the high-water mark for public markets.

What We Know So Far

The details come from people familiar with the matter, and they sketch an unusually aggressive plan:

• Scale ambition: Anthropic PBC expects to match or exceed SpaceX’s record IPO size — roughly $75 billion at base offer, $86.2 billion with the greenshoe overallotment fully exercised.
• Target valuation: The company is reportedly aiming for a share price around $135, which would imply a total valuation of nearly $1.8 trillion.
• Filing status: Anthropic confidentially submitted its S-1 to the SEC on June 1, 2026, becoming the first of the major AI labs to formally begin the listing process. OpenAI followed a week later, filing confidentially on June 8.
• Timeline: Reporting throughout the summer has pointed to a fall 2026 debut, with roadshows expected in the coming months.

For context on how fast this company has grown: Anthropic was valued at just $4.1 billion in early 2023. It raised $30 billion in a Series G at a $380 billion valuation in February 2026, then a $65 billion Series H in May 2026 that pushed its post-money valuation to $965 billion. An IPO near $1.8 trillion would mean the company’s value roughly doubled again since that last private round.

The Numbers Behind the Ambition

What makes this listing more than a headline is the revenue trajectory underneath it. Reuters reported on August 15 that Anthropic projects roughly $190 billion to $200 billion in revenue for 2028, according to sources — a figure bankers are using to build valuation models around enterprise-value-to-revenue multiples.

The run-rate growth has been steep:

• Toward the end of May 2026, CNBC reported a $47 billion annualized revenue run rate at the time of the Series H.
• By late summer, reports indicated run rates had surged past $65 billion.

Even against those numbers, the arithmetic is demanding. At a $1.8 trillion valuation and, say, $70 billion of current annualized revenue, the market would be paying roughly 25x trailing run-rate sales for a company still spending enormous sums on compute. Bulls argue Claude’s enterprise penetration, coding-agent dominance, and the stickiness of API workloads justify it. Skeptics point out that SpaceX — the record holder Anthropic wants to beat — went public with hard physical assets, government contracts, and a launch cadence you can count. Anthropic is asking investors to underwrite a forecast.

Why This IPO Is the Real Test of the AI Boom

CNBC called Anthropic’s listing “the first big test of AI boom valuations,” and that framing has stuck. Here’s why:

1. It’s the first AI-native company at this scale to face public scrutiny. OpenAI is queued behind it, but Anthropic goes first among the frontier labs. Its S-1 — when it becomes public — will be the first detailed look inside an AI lab’s unit economics: gross margins on inference, compute commitments to cloud providers, customer concentration, and the true cost of the credits and equity stakes that subsidize growth.

2. Private marks have never been stress-tested. The $965 billion Series H valuation was set in a negotiated private round. A public order book is a different animal entirely — as SpaceX discovered when its debut drew bids some analysts called “driven by hype.” If Anthropic prices at $135 and trades well, the $1 trillion+ private marks of OpenAI and others gain credibility. If it stumbles, the read-across to every late-stage AI round gets painful.

3. The macro window matters. With SpaceX, OpenAI, and Anthropic collectively seeking to add well over $2 trillion in valuation to public markets in a single season, there are real questions about absorption. Moneta’s Aoifinn Devitt framed the consensus view in June: there’s likely enough demand for all three to have huge debuts. But “likely” is doing a lot of work in that sentence — three mega-listings in one window is unprecedented.

The Competitive Backdrop

Anthropic’s IPO ambitions land amid an escalating race. OpenAI’s confidential filing on June 8 means both frontier labs are now on the same public-market track, and comparisons will be constant: revenue growth, enterprise logos, agent capabilities, safety posture. Anthropic’s pitch has long centered on Claude’s strength in coding and long-horizon agentic work — a positioning that has won it deep adoption among developers and enterprises even as ChatGPT retains the consumer mindshare.

There’s also a governance story investors will have to price. Anthropic operates as a public benefit corporation with its long-term benefit trust structure, and converting private cap tables built partly on strategic compute deals (Google, Amazon) into a liquid public float raises structural questions other IPOs haven’t faced.

What to Watch

• The public S-1: When the confidential filing converts, the 2028 revenue forecast and compute commitments become the documents everyone argues about.
• Pricing vs. the $135 target: Reports suggest a target share price; whether underwriters defend it through the roadshow is the real signal.
• OpenAI’s response: A successful Anthropic debut resets expectations for the IPO queued behind it.
• Post-IPO lockup dynamics: With $118 billion raised privately to date, early holders are numerous, and supply overhang will be a live issue.

The Bottom Line

Anthropic has gone from a $4.1 billion startup in 2023 to a company telling bankers it can execute the largest IPO ever at a $1.8 trillion valuation. The Bloomberg report makes one thing clear: this is not a cautious, down-sized listing meant to squeak by — it’s an attempt to break the all-time record on the first try. Whether public investors meet that ambition will define how the rest of the AI era gets financed.