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Nebius Sales Surge 684% as AI Infrastructure Pivot Deepens Losses

Summarized by NextFin AI
  • Nebius Group NV reported a 684% surge in annualized run-rate revenue for its core infrastructure business, reaching $55.3 million, driven by AI data center operations.
  • Despite revenue growth, the company faced an adjusted net loss of $92.5 million, indicating high capital intensity in building AI factories.
  • Analysts suggest Nebius needs $15 billion to $20 billion in capital expenditure over the next two years to meet its 2026 revenue target of $7 billion to $9 billion.
  • The company's strategy focuses on securing high-end GPUs for AI workloads, with significant investments in new facilities in the U.S. and Finland.

NextFin News - Nebius Group NV reported a 684% surge in annualized run-rate revenue for its core infrastructure business in the first quarter, a figure that underscores the aggressive expansion of the Amsterdam-based cloud provider as it pivots toward high-end artificial intelligence services. The company, which emerged from the divestment of the Russian internet giant Yandex, announced on Wednesday that its total revenue for the period ending March 31 reached $55.3 million, a 385% increase compared to the same quarter last year. The growth was almost entirely fueled by the company’s AI data center operations, which are being scaled to meet the global shortage of specialized computing power.

The divergence between top-line growth and bottom-line stability remains the central tension in the Nebius narrative. While revenue soared, the company reported an adjusted net loss of $92.5 million for the quarter, widening from a $77.6 million loss in the prior year. This deepening deficit reflects the immense capital intensity required to build out the "AI factories" that house Nvidia’s H100 and Blackwell chips. Arkady Volozh, the founder and CEO of Nebius, noted in a statement that the momentum has carried into the second quarter, with April’s annualized run-rate revenue climbing to approximately $310 million. Volozh, who returned to the helm after European Union sanctions against him were lifted in 2024, is positioning the firm as a Western-compliant alternative to the hyperscale cloud giants.

Market analysts remain divided on whether Nebius can sustain this trajectory without further diluting shareholders or overextending its balance sheet. Morningstar analysts, who have historically maintained a cautious but observant stance on the European tech sector, pointed out that Nebius expects to exit 2026 with an annualized run-rate revenue between $7 billion and $9 billion. However, achieving this target requires a staggering capital expenditure of $15 billion to $20 billion over the next two years. This level of spending is typically reserved for companies with far larger balance sheets, and the Morningstar report suggests that the execution risk associated with building nine new data centers simultaneously is substantial. This perspective is not yet a consensus view on Wall Street, where some growth-oriented funds have focused more on the scarcity of AI-ready infrastructure than on the immediate cash burn.

The company’s strategy hinges on its ability to secure and deploy high-end GPUs faster than traditional cloud providers. By focusing exclusively on AI workloads, Nebius avoids the legacy overhead of general-purpose cloud services, allowing for higher density and more efficient cooling in its facilities. Recent moves, including breaking ground on a gigawatt-scale AI factory in Missouri and a 310-megawatt facility in Finland, signal an attempt to diversify its geographic footprint and tap into the U.S. market. These projects are essential if the company is to reach its ambitious 2026 revenue guidance, which sits significantly higher than current trailing figures.

Despite the triple-digit growth, the path to profitability is obscured by the sheer scale of the required investment. The adjusted EBITDA loss of $62.6 million in the first quarter highlights that the core business is not yet generating enough cash to cover its operational costs, let alone its massive build-out. Investors are essentially betting that the demand for AI training and inference will remain high enough to justify the premium pricing Nebius charges for its specialized clusters. If the AI investment cycle slows or if Nvidia’s supply chain fully catches up with demand, the premium for "AI-first" cloud providers could evaporate, leaving capital-heavy players like Nebius vulnerable to a margin squeeze.

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Insights

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