CoreWeave beats estimates, lifts outlook on $104B AI backlog
CoreWeave's second-quarter results and surging order book suggest enterprise demand for dedicated AI computing infrastructure is accelerating, not slowing.
CoreWeave reported second-quarter revenue of $2.58 billion, surpassing analyst expectations and signaling robust demand for specialized cloud computing. The world's largest neocloud provider posted a per-share loss of $1.14, significantly narrower than the consensus estimate of a $1.41 loss.
Revenue surged 112% year over year, driven by the company's strategy of stockpiling graphics processing units to offer computing power as a service. While heavy infrastructure investments widened the net loss per share from $0.60 in the prior-year quarter, the top-line performance and earnings beat highlight improving cost efficiency.
Founder and CEO Michael Intrator said, "CoreWeave reached an important inflection point this quarter as our scale began to translate into expanding operating leverage." This suggests the business is moving past an era of purely brute-force capital expenditure toward generating more predictable returns on its massive hardware deployments.
The most critical metric for market professionals was the company's backlog, which skyrocketed 246% year over year to $104.2 billion. For a financial sector anxious about whether artificial intelligence spending is sustainable, this enormous book of business provides concrete evidence that major customers are locking in long-term compute contracts rather than pulling back.
That guaranteed demand is already translating into forward-looking financials. CoreWeave issued third-quarter revenue guidance of $3.45 billion to $3.6 billion, representing 158% growth at the midpoint. Management also raised its full-year revenue forecast to a midpoint of $12.8 billion, up from $12.5 billion issued just three months ago.
Neocloud operators like CoreWeave and rival Nebius Group have emerged as vital bellwethers for enterprise AI adoption. By stripping away traditional cloud software to focus purely on GPU-as-a-service, these companies offer a transparent view of underlying demand for computational horsepower. CoreWeave's quarterly update confirms that the race to secure AI infrastructure is still accelerating.
