According to a paper quoted by Bloomberg, Anthropic collected over $11.5 billion in the second quarter of 2026, a 14-fold increase over the same period and recorded adjusted operating profits. Preliminary data from this group suggest that the expansion of the Claude developer in the enterprise-level AI market is still accelerating and has given more attention to its potential listing process.

Anthropic is currently competing with OpenAI for business clients. As more and more professional users use their software for work scenarios such as programming, the growth of corporate income has increased significantly. Anthropic had previously indicated in May that its annualizations had exceeded $47 billion, while its annual collections in 2025 were about $10 billion.

The data for the second quarter is still preliminary.

According to the report, in the second quarter, Anthropic not only registered a significant increase in revenue but also achieved a positive return on adjusted operating profits. However, the relevant financial figures remain preliminary and may be adjusted for subsequent periods.

At the time of the release of the report, the spokesperson for Anthropic had not responded to CNBC ' s request for comment.

Potential IPO to pre-exposure

CNBC had previously cited sources that Anthropic had begun pre-market contacts with potential investors and that the meetings were still at a high level of communication and had not yet involved specific financial details or valuation discussions.

According to the source, these contacts were led by Chief Finance Officer Krishna Rao. If it goes well, Anthropic could start IPO at the earliest this fall.

Listing or opening financial channels for computing inputs

If listed successfully, Anthropic could be one of the first major private AI companies to enter the open market. Open market financing capacity is particularly important for such model companies, whose business expansion is highly dependent on sustained capital inputs.

  • Expansion of computing infrastructure inputs
  • Procurement of more advanced hardware equipment
  • Building data centres for model-oriented training

Against the background of continued warming competition in AI, the rate of growth, profitability and the pace of financing are becoming direct indicators for the market to measure the competitive position of head model companies.