Oossa

Anthropic files IPO aiming for $88.5 billion raise

The AI startup plans to sell shares at $70‑$78 each, targeting a $1.4 trillion valuation and a $62.5 billion IPO—the biggest since SpaceX.

By Published by Oossa: 1 min read

Tomas Eidsvold · Unsplash

Anthropic filed an updated S‑1 on Tuesday, outlining an IPO that could bring in up to $62.5 billion. The company would price each share between $70 and $78 and sell a little over 800 million shares. At the top of that range, the public offering would be the largest ever after SpaceX’s $75 billion debut. A private placement expected to close right after the IPO would add another $26 billion, coming from investors such as AMD, Broadcom, Google, Micron, Microsoft, Nvidia and TSMC. Together the two tranches would raise about $88.5 billion, enough to fund Anthropic’s costly compute expansion. Anthropic aims for a fully diluted valuation of up to $1.4 trillion, which would place it second only to SpaceX’s June 2026 market debut. Earlier forecasts had put the company nearer $2 trillion, but the revised numbers still mark a historic debut. The firm expects to list on Nasdaq later in November under the ticker “ANT”. Revenue has surged to $33.2 billion for the first nine months of 2026, up from $2.5 billion a year earlier. Despite the growth, the company posted an operating loss of $1.3 billion for the same period, and a net loss that widened to $104 billion. The IPO will give Anthropic cash to keep investing in AI infrastructure while it works toward profitability.

Why the size matters

A fundraise of this magnitude gives Anthropic the runway to build more powerful models and expand its cloud‑compute fleet, which could translate into faster, more capable AI services for enterprise customers. For investors, the sheer scale of the offering signals confidence from big‑chip makers and cloud providers, but the lack of profit also means the company still faces pressure to turn revenue into earnings.

Why it matters

The capital will let Anthropic keep scaling its AI models, which could make its products more competitive for businesses that rely on large‑language models. However, the company’s continued losses mean investors will watch closely for signs that the new cash turns into profit.

Was this article useful?
Share

Read next

Oossa · Newsletter

The week in AI, explained

Every Monday: the stories worth knowing, in plain language. Free, no spam.