Nebius Q1 FY 2026 Earnings Show AI Cloud Capacity Scaling

Nebius Q1 FY 2026 Earnings Show AI Cloud Capacity Scaling

Analyst(s): Dion Hinchcliffe
Publication Date: May 26, 2026

Nebius’ Q1 FY 2026 earnings show demand outpacing supply as the company scales AI cloud capacity and expands its software stack. Management positioned owned infrastructure, new US sites, and Token Factory as the operating focus for sustaining growth through FY 2026.

What is Covered in This Article:

  • Nebius’ Q1 FY 2026 financial results
  • Capacity expansion and power contracting
  • Token Factory inference product momentum
  • Partnerships and customer mix supporting the growth strategy
  • Guidance and go-forward perspective

The News: Nebius Group N.V. (NASDAQ: NBIS) announced unaudited financial results for Q1 FY 2026. Revenue was $399.0 million, up 684% year-on-year (YoY), versus street consensus of $391.6 million. Adjusted EBITDA was $129.5 million versus an adjusted EBITDA loss of $53.7 million in the prior-year period. Net income from continuing operations was $621.2 million versus a loss of $104.3 million in the prior-year period, while adjusted net loss was $100.3 million versus an adjusted net loss of $83.6 million in the prior-year period.

The company also said it secured up to 1.2 gigawatts of power and land for a new owned AI factory site in Pennsylvania. “We continue to see unprecedented demand across the market. Compute and cloud needs are vastly exceeding capacity as more industries embrace AI and companies move beyond experimentation to real-world applications. We are seeing this demand firsthand, and are capturing it with our full-stack AI-native cloud,” said Arkady Volozh. founder and CEO of Nebius Group.

“We grew the Group revenue by 684% year-on-year to $399 million, up 75% from Q4. Once again, we sold out our capacity as demand continued to exceed available supply,” said Dado Alonso, chief financial officer of Nebius Group.

Nebius Q1 FY 2026 Earnings Show AI Cloud Capacity Scaling

Analyst Take: Nebius tied its near-term execution to four areas: capacity and scale; product depth; customer demand; and financing. Management described a sell-out environment where capacity remains the primary limiter, not utilization or pricing, and said it raised prices while continuing to sell out across GPU generations. The company continued to position its software stack as an enabler of customer stickiness and account growth rather than as a profit center, the fastest-growing area being inference, particularly production-scale Token Factory. The combined message to the market was simple: expand owned AI compute capacity quickly, attach software to buttress go-to-market, and fund further growth with a mix of customer prepayments and structured financing.

Capacity, Power Contracting, and Owned Buildout

Management said contracted power usage increased to more than 3.5 gigawatts (GW) and at least 4 GW of contracted power is targeted by year end. The company stated that owned contracted capacity accounts for more than 75% of total power use and announced a second owned gigawatt-scale US site in Pennsylvania with up to 1.2 GW usage. Total power was described as sold out again in Q1, and most capacity coming online over the next several quarters to a year as already contracted or earmarked for customers. Typically, four or more customers compete for every GPU it brings online, according to management. Capacity timing matters because leadership expects a back-end weighted ramp in FY 2026, with a step-up beginning in Q3. The implication is that execution risk sits in delivery timelines and site build cadence, not demand generation amid the rapid run-up of global token consumption by businesses and consumers alike.

Nebius Token Factory and the Inference-Led Product Strategy

As noted above, inference was noted as the fastest-growing segment of Nebius’ offer set, led by Token Factory, the production-scale service. This fits with the company’s message that customers choose Nebius for scale, a software stack optimized for open source and specialized models, and total cost of ownership advantages such as cost per token. Company leadership also claimed that contract dynamics are shifting in its favor, including longer average contract durations, higher average contract values, and larger prepayments from customers needing to secure future capacity. Leadership also called out agentic workloads as driving longer-term product direction, with Nebius as a base layer for builders needing to optimize agentic AI at scale. In the company’s view, inference economics and AI developer experiences will shape competitive outcomes as the market continues its shift toward production, agentic-driven inference.

Partnerships and Strategic Customer Mix

Strategic relationships with Meta and Microsoft were described by Nebius leadership as additive to, not a substitute for, a diversified AI cloud customer base. Reported pipeline growth of 3.5x quarter over quarter in Q1 FY 2026 excludes strategic hyperscaler deals like Meta, spanning AI natives, independent software/SaaS vendors, and enterprise. The company said it provided capacity commitments to both Meta and Microsoft, detailing a structured approach to capacity planning that pairs large strategic deals with the broader customer base. Management also discussed NVIDIA’s $2.0 billion strategic investment as a vital extension of the two companies’ multi-year partnership, improving Nebius’ supply chain assurance for future GPU platforms, including Vera Rubin, and for equally critical networking infrastructure. This stands to considerably help Nebius competitively as constrained GPU supply continues to hamper AI provider growth across the industry. (The company said it recently achieved NVIDIA Exemplar Cloud status on the GB300 Grace Blackwell Superchip for training.) Nebius is using strategic offtake, supplier alignment, and its ongoing NVIDIA partnership to mitigate supply risk while maintaining the ability to secure higher-margin multi-tenant demand.

Guidance and Go-Forward Perspective

Nebius reiterated FY 2026 guidance for revenue between $3.0 billion and $3.4 billion and an adjusted EBITDA margin of around 40% while increasing FY 2026 capital expenditure expectations to between $20.0 billion and $25.0 billion. The capital spending increase is driven by 2027 capacity and customer commitments, according to leadership, who described component inflation impact as a low single-digit percentage of total spend. Management also described non-linear adjusted EBITDA margin progression during FY 2026, expecting Q2 margins to dip due to investment timing and back-end weighted capacity, then return to Q1 levels in Q3 and increase further in Q4. The company said it plans to fund incremental capacity using asset-backed financing against the Meta and Microsoft contracts; potential corporate debt; and customer prepayments. Execution will hinge on bringing large US sites online on schedule while sustaining utilization and pricing as capacity expands.

See the full press release on Nebius’ Q1 FY 2026 financial results on the company website.

Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.

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Author Information

Dion Hinchcliffe

Dion Hinchcliffe is a distinguished thought leader, IT expert, and enterprise architect, celebrated for his strategic advisory with Fortune 500 and Global 2000 companies. With over 25 years of experience, Dion works with the leadership teams of top enterprises, as well as leading tech companies, in bridging the gap between business and technology, focusing on enterprise AI, IT management, cloud computing, and digital business. He is a sought-after keynote speaker, industry analyst, and author, known for his insightful and in-depth contributions to digital strategy, IT topics, and digital transformation. Dion’s influence is particularly notable in the CIO community, where he engages actively with CIO roundtables and has been ranked numerous times as one of the top global influencers of Chief Information Officers. He also serves as an executive fellow at the SDA Bocconi Center for Digital Strategies.

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