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Nebius beats quarterly revenue estimates on strong AI demand

Nebius reported third-quarter revenue of $981 million, above analysts' average estimate of $907.5 million, and forecast $12 billion to $13 billion in 2027 sales. Its 2026 forecast of $3 billion to $3.4 billion was slightly below market estimates at the midpoint, while the company expects to break even before tax by the end of 2027.

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What happened

Nebius reported third-quarter revenue of $981 million, above analysts’ average estimate of $907.5 million, and forecast $12 billion to $13 billion in 2027 sales. Its 2026 forecast of $3 billion to $3.4 billion was slightly below market estimates at the midpoint, while the company expects to break even before tax by the end of 2027.

Confirmed

Global impact / market context

The revenue beat and longer customer deals at higher prices point to strong demand supporting Nebius’s sales. However, its lower-than-expected 2026 forecast suggests that near-term growth may not meet market expectations. Customer prepayments can bring cash forward, but do not by themselves establish that future sales or profits are assured.

Analyst inference

Nebius’s shares had risen more than 15% on Wednesday after rival CoreWeave reported results, then were marginally higher in volatile premarket trading. The article also describes a recent selloff in AI and data-center shares, amid investor concern about debt and companies’ ability to raise funds in tighter markets.

Confirmed

What to watch

  1. Compare Nebius’s reported sales in coming quarters with its 2026 forecast range of $3 billion to $3.4 billion to see whether the near-term outlook is being met. Analyst inference
  2. Watch whether longer customer commitments at higher prices and upfront payments continue; sustained bookings and cash paid early could support revenue and funding for infrastructure spending. Analyst inference
  3. Track progress toward the company’s expected pre-tax break-even by the end of 2027, since missing that target could increase pressure to obtain funding amid tighter markets. Analyst inference

Evidence

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