CoreWeave Inc. (CRWV) Stock Tumbles as 2025 Revenue Forecast Disappoints

CoreWeave Inc. (CRWV) just took a nosedive—Wall Street wasn't ready for its lukewarm 2025 revenue outlook.

Here's what went wrong.

The numbers don't lie: CRWV's projections fell short of analyst expectations, sending shares into a tailspin. Investors expected fireworks—they got a fizzle.

Market reaction? Brutal. The stock got hammered faster than a GPU miner during a crypto winter.

Bonus jab: Another 'growth' stock learning the hard way—Wall Street's love is conditional on hitting targets.

TLDRs;

• CoreWeave shares fell 6% after issuing 2025 revenue guidance below analyst expectations.
• Q3 revenue hit US$1.4B, beating estimates, with net loss narrowing to US$110M.
• Backlog rose to US$55.6B, but near-term revenue may face timing delays.
• GPU supply bottlenecks affect efficiency; AI teams must optimize cloud vendor selection.

Shares of CoreWeave Inc. (CRWV) declined on Monday, slipping 6% in after-hours trading following the release of the company’s full-year revenue guidance, which came in slightly below Wall Street expectations.

Despite reporting strong quarterly results, investors reacted cautiously to the 2025 revenue forecast, highlighting lingering concerns about timing and infrastructure execution in the AI compute sector.

The AI infrastructure firm, known for leasing Nvidia GPUs to cloud and AI teams, reported Q3 revenue of US$1.4 billion, surpassing the analyst estimate of US$1.3 billion and marking a 134% increase year-on-year. The company also significantly narrowed its net loss to US$110 million, down from US$360 million during the same quarter last year, reflecting improved operational efficiency.

Revenue guidance falls short of estimates

CoreWeave’s management announced expected revenue for 2025 in the range of US$5.1 billion to US$5.2 billion, just below the consensus forecast of US$5.3 billion.

CEO Mike Intrator emphasized that a delay at a third-party data center WOULD not affect the company’s US$55.6 billion backlog, which has grown substantially since the firm’s IPO.

The world’s leading innovators trust CoreWeave as their Essential Cloud for AI, and our record third-quarter performance is proof of that confidence.

More here: https://t.co/emApCynzAh pic.twitter.com/muY7s2XSy3

— CoreWeave (@CoreWeave) November 10, 2025

Despite the slight shortfall, the company continues to secure major partnerships, including a US$6.5 billion expansion deal with OpenAI, a six-year agreement with Meta valued up to US$14.2 billion, and a new contract with another prominent cloud provider. These deals underline CoreWeave’s strong positioning in the rapidly growing AI compute market.

Backlog raises timing and execution questions

While the headline backlog figure is impressive, analysts caution that it masks near-term revenue uncertainty. CoreWeave previously stated that roughly 50% of the backlog (~US$15 billion) is expected to convert into revenue within 24 months, leaving the remainder tied to longer-term contracts.

Factors such as dependence on third-party data centers and annual capital expenditures of US$20–23 billion may push some revenue further out than initially projected.

The company also faces operational bottlenecks, with only about 20% of its contracted 2.2 GW of power active in Q2. This illustrates that even specialized AI GPU providers like CoreWeave can encounter supply and infrastructure constraints.

Implications for AI teams and cloud users

The constrained GPU supply has practical implications for teams training large AI models. Careful vendor selection, including comparisons of pricing, service-level agreements, and preemption rates across CoreWeave, hyperscalers, and neocloud providers, can improve efficiency.

CoreWeave reports 35–45% floating-point operations per second (FLOPS) utilization, indicating room for optimization. Selecting the right provider for specific workloads could yield 25–50% efficiency gains in training speed and cost.

Looking ahead, investors will be closely watching CoreWeave’s execution over the next year, particularly how its backlog translates into near-term revenue. While partnerships with major AI players like OpenAI and Meta provide confidence in demand, timing uncertainties and infrastructure dependencies remain key risk factors for the company’s stock performance.