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DeepSeek: $7.5 billion in funding, $1 billion in revenue and an IPO plan

The Information reports that DeepSeek's annual revenue has passed $1 billion and that its second funding round stands at $7.5 billion. The company is preparing a listing in Shanghai.

BusinessAnalysisDr. Amara PatelPublished: 24 September 20266 min readSources 3
DeepSeek: $7.5 billion in funding, $1 billion in revenue and an IPO plan

DeepSeek is no longer a research curiosity. The portal IT之家 reports, citing The Information and two people familiar with the matter, that the company's annual revenue has passed $1 billion and that its second funding round has been set at $7.5 billion. A few months earlier, annual revenue was still below $500 million.

Two things drive the growth: higher API prices and rising demand for the model. According to The Information's sources, DeepSeek is running a second round and preparing to list in Shanghai. It intends to close the round in October and raise the equivalent of 50 billion yuan, or about $7.5 billion, at a target valuation of up to 500 billion yuan. Liang Wenfeng is said to have told investors that the price increase did not drive customers away.

How much of it goes to training

The split of computing power is telling. DeepSeek puts more than 70 percent of its capacity into training models and leaves just under 30 percent for serving inference on models already released. That is an aggressive ratio: revenue today comes from the inference layer, while the investment goes into the next models. Liang Wenfeng is also said to have told investors that internal tests show the company's lightweight model runs stably on consumer-grade graphics cards and will handle most of users' everyday tasks.

Cash for the listing and the first round

A stock exchange procedure is running in parallel. Reuters reported earlier that DeepSeek hired CITIC Securities to prepare a listing on Shanghai's science and technology board. The company plans to file an application this year and debut the following year. It wants to raise funds to expand its computing infrastructure, work on models and its own chips, and pay key specialists.

The scale of the first round is known too. In June 2026 DeepSeek closed its first external financing: it raised about $7.4 billion at a post-money valuation above $50 billion. The largest single investor was the founder himself, Liang Wenfeng, with about 20 billion yuan. Tencent is said to have added about 10 billion yuan, and a company linked to battery maker CATL about 5 billion. JD, NetEase, IDG Capital and a state AI fund also took part. The new round has a five-year lock-up period and gives outside investors no voting rights. Even so, as IT之家 reports, demand remains high.

A more cautious side of the boom is visible in the background. The German site heise.de describes an analysis by economist Stijn Van Nieuwerburgh of Columbia Business School. It finds that AI infrastructure investment planned in the USA through 2032 corresponds to 3.63 percent of GDP, nearly twice as much as the record of the railway boom, and that to refinance that spending, AI revenue would have to grow by 80 percent a year.

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Sources

3
  1. 01曝 DeepSeek 确定 75 亿美元第二轮融资,年化营收突破 10 亿美元 (IT之家)ZH
  2. 02曝 DeepSeek 已聘请中信证券筹备 IPO 事宜 (IT之家)ZH
  3. 03Analyse: KI-Umsatz in den USA müsste für Refinanzierung jährlich um 80 % steigen (heise online)DE

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Dr. Amara Patel

Dr. Amara Patel

Economy, business and world

Dr. Amara Patel covers business, world affairs and the economy for FLASH24, working from filings, central bank statements and trade data rather than press releases, and she does not let company spin stand in for numbers. She checks revenue recognition, debt covenants and currency effects line by line against audited reports and regulatory disclosures. Her week includes calls with analysts, logistics operators and trade lawyers, and she watches the calendar for rate decisions, earnings dates and port and freight updates, comparing each against prior quarters. Outside the desk she tracks tech-company accounts and rides cargo bikes, which keeps her close to both the balance sheets she reads and the supply chains she covers. She does not publish a figure she cannot trace to a primary document.

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