CoreWeave reported a 168% increase in third-quarter revenue as demand for artificial intelligence computing continued to grow. The US-based AI cloud company generated $3.66 billion in revenue during the three months ending September 30, 2026, compared with $1.37 billion during the same period last year. The figures were confirmed in CoreWeave’s November 10 earnings announcement.
The results show how quickly demand for specialized AI cloud services is expanding. CoreWeave provides powerful computing infrastructure that businesses use to train artificial intelligence models, run AI applications, and handle demanding workloads. Its quarterly revenue increased by more than $1 billion compared with the previous quarter, reflecting the company’s growing business and computing capacity.
However, the strong revenue growth did not translate into an overall profit. According to the financial results filed with the US Securities and Exchange Commission, CoreWeave recorded an operating profit of $207 million, up from $52 million a year earlier. Despite this improvement, its quarterly net loss widened to $709 million from $110 million. Net interest expenses also increased to $846 million, highlighting the financial pressure associated with the company’s rapid expansion.
Another important development was CoreWeave’s growing revenue backlog, which reached approximately $132.5 billion by the end of September 2026. This represents a 138% increase from a year earlier. The backlog includes revenue the company expects to earn from customer contracts as it delivers services in the future. It is not money CoreWeave has already received, and the full amount is not guaranteed to become revenue on the original schedule.
CoreWeave is expanding its infrastructure to support this demand. Its official third-quarter results infographic shows that the company had 52 active data centers and more than 1.7 gigawatts of active power capacity, alongside over 4.6 gigawatts of contracted power. These figures show the scale of its infrastructure expansion, although contracted power does not mean every planned facility is already operational. TechBonafide previously covered CoreWeave’s $6 billion AI data center expansion plan in Pennsylvania, another example of the company’s investment in computing capacity.
The company also reported expanded business relationships with AI developers and enterprise customers, including OpenAI, Perplexity, and Cohere. These companies rely on substantial computing resources to develop and operate advanced artificial intelligence systems. CoreWeave’s growing customer relationships show its role in supplying infrastructure for AI services, although the company did not disclose the revenue contribution of every individual customer.
Following the strong quarterly results, CoreWeave raised its full-year 2026 revenue forecast to between $13 billion and $13.3 billion. It also expects annual capital spending of $37 billion to $39 billion as it continues building and expanding infrastructure. Chief Executive Officer Michael Intrator said the company expects approximately $9 billion in customer prepayments and deposits over the following three months. These figures are management forecasts rather than completed financial results.
The earnings report comes as technology companies invest heavily in servers, powerful AI processors, electricity infrastructure, and cooling equipment. TechBonafide recently examined the wider rise in AI data center spending during 2026, highlighting the enormous costs of supporting modern AI services. CoreWeave’s latest results offer a clear example of this trend: customer demand is driving rapid revenue growth, but expanding capacity requires substantial investment.
For AI developers, cloud customers, and enterprise technology teams, CoreWeave’s growth reflects the increasing importance of reliable access to computing power. More infrastructure could help the industry support larger AI models and more demanding applications. However, the company’s latest results do not prove that computing prices will fall or that additional capacity will become available to every customer. Its future performance will depend on bringing planned infrastructure online, managing borrowing costs, and turning growing revenue into sustainable profits.
