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AI Compute Supply Shortage Supports Nebius Growth; Goldman Sachs Maintains Buy Ahead of 2Q26 Results

Institution
Goldman Sachs
Date
2026-08-10
Authors
Alexander Duval, Anant Jakhar, Ayo Odunaiya
Company
NEBIUS GROUP NV
Ticker
NBIS.US
Industry
AI Infrastructure and Internet Content & Information Services
Rating
Buy
BullishLow confidenceAI infrastructure demand continues to exceed supply, with Nebius selling out at higher prices, extending contract durations, and increasing prepayments, while also advancing capacity expansion and an asset-light partnership model; competition, expansion execution, and regulatory constraints remain the key uncertainties.
AuthorsAlexander Duval, Anant Jakhar, Ayo Odunaiya
Target price$286
CoverageUnited States、Europe
Business segmentsAI Infrastructure and Full-Stack AI Cloud Platform、Enterprise and AI Startup Customer Business、Hyperscale Cloud Customer Business、Asset-Light Platform Deployment Model for Infrastructure Partners
Research firm divisions/subsidiariesGoldman Sachs(Other)

AI summary card

AI Compute Supply Shortage Supports Nebius Growth; Goldman Sachs Maintains Buy Ahead of 2Q26 Results

Goldman Sachs believes strong pricing, improving contract quality, and continued capacity expansion support Nebius's growth outlook, maintaining a Buy rating and a 12-month price target of $286.

Maintain Buy; 12-month price target of $286, based on 9x CY27E EV/Sales; implying approximately 52.2% upside versus the reference share price of $187.97.
AI InfrastructureData CentersCompute Supply and DemandCapacity ExpansionAsset-Light Model2Q26 Earnings Preview
  • Nebius will report 2Q26 results on August 12, 2026, with investors focused on 2026 revenue guidance and changes in ARR.
  • AI infrastructure demand continues to exceed supply, and the company previously sold out all capacity even after raising prices.
  • Contract quality improved meaningfully in 2026, with longer contract durations for both new and existing customers and a stronger trend of prepayments locking in future capacity.
  • Contracted power capacity exceeded 3.5GW in 1Q26, and the company targets more than 4GW by the end of 2026.
  • A new asset-light model that provides a full-stack AI cloud platform to partners is expected to expand infrastructure coverage, but its economics have yet to be disclosed.

Report interpretation

Overview

This report outlines five key investor topics for Nebius ahead of its 2Q26 earnings release: the impact of strong supply-demand dynamics and pricing on 2026 revenue and ARR, competitive pressure from Meta's self-built cloud business, demand from enterprise and AI startup customers, capacity expansion and regulatory bottlenecks, and the new asset-light model of providing a full-stack AI cloud platform to infrastructure partners. Goldman Sachs remains broadly positive and maintains its Buy rating.

Core views

The AI infrastructure market remains in a phase where demand exceeds supply. Nebius is benefiting not only from price increases, but also from improving contract duration and prepayment ratios. The company delivers a complete platform experience through compute, storage, orchestration, engineering support, and flexible contracts, differentiating it from pure bare-metal compute offerings. Continued expansion among enterprise and AI startup customers, a year-end contracted power target of more than 4GW, and the new asset-light partnership model support growth, but potential competitors such as Meta, site ramp-up and grid-connection execution, regulatory constraints, and the pace of AI adoption could still affect the timing of delivery.

Analysis framework

The report uses an earnings event-driven analysis framework, taking market supply and demand, pricing and contract quality, competitive differentiation, customer mix, infrastructure capacity, and regulatory factors as the framework for operational assessment, and values the target price using a CY27E EV/Sales multiple. The analysis is mainly based on company disclosures, recent views from industry participants, Visible Alpha consensus expectations, and Goldman Sachs Research estimates.

Methodology notes

  • Event-Driven AnalysisPre-Earnings Key Questions Framework

    Identify potential catalysts and risks around the operating variables most closely watched by the market before earnings.

    The focus is on assessing new information regarding 2026 guidance, ARR, new customer additions, capacity ramp-up, power access, regulatory bottlenecks, and the asset-light partnership model.

  • Valuation methodsEV/Sales Relative Valuation

    Estimate target value using enterprise value as a multiple of expected sales.

    The 12-month price target of $286 is based on 9x CY27E EV/Sales, suitable for AI infrastructure companies with relatively low current earnings maturity but rapid revenue growth.

  • Competitive AnalysisFull-Stack Platform Differentiation Analysis

    Compare the competitive differences between a complete AI cloud platform and a pure bare-metal compute offering.

    Nebius's differentiating factors include responsiveness, focused compute, storage, and orchestration products, engineering expert support, and flexible contract structures that adapt to uncertainty in project timelines.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • NBIS.US
    Core Research Subject
    Strengths
    Strong AI infrastructure demand, capacity still sold out at higher prices, longer contract durations, increased prepayments, and a full-stack platform covering compute, storage, and orchestration.
    Weaknesses
    Growth depends on large-scale infrastructure expansion, with high requirements for capital, power, site ramp-up, and customer contract execution.
    Comparison
    Compared with Neocloud providers that offer only bare-metal compute, Nebius emphasizes a complete platform experience, engineering support, and flexible contract structures.
    Risks
    Competition from hyperscale cloud providers, slower-than-expected AI adoption, shorter-term contracts reducing revenue visibility, weaker-than-expected capacity expansion, and regulatory bottlenecks.
  • META.US
    Potential Competitor and Industry Variable
    Strengths
    Has large-scale technology, capital, and AI demand foundations, and its self-built cloud business could create new supply capacity.
    Weaknesses
    The report does not provide the specific scale, timeline, or business model of its external cloud business.
    Comparison
    Meta's self-built cloud business could increase industry competition, while Nebius seeks differentiation through a focused full-stack AI platform, engineering responsiveness, and flexible contracts.
    Risks
    If Meta expands external cloud services, it could pressure Neocloud pricing, customer acquisition, and market share.
  • MNDY.US
    Example of Nebius Enterprise Customer
    Strengths
    Its contract provides practical evidence of Nebius's expansion into enterprise customer demand.
    Weaknesses
    The report does not disclose contract size, duration, or revenue contribution.
    Comparison
    Compared with multi-year hyperscale cloud customer transactions, enterprise customer expansion helps validate broader sources of demand.
    Risks
    The ramp-up speed of enterprise customers or the economics of individual contracts may fall short of expectations.

Key data

  • 2Q26 Earnings Release DateAugust 12, 2026Results will be released two days after the report date.
  • 2026 Revenue Guidance$3.0bn-$3.4bnInvestors are focused on whether strong demand and pricing will drive changes to guidance.
  • 2026 Revenue Consensus$3.36bnVisible Alpha consensus expectation, close to the upper end of company guidance.
  • 1Q26 Contracted Power Capacity>3.5GWReflects the company's infrastructure expansion progress.
  • 2026 Year-End Contracted Power Target>4GWFurther validation is needed on site ramp-up, grid access, and regulatory approval progress.
  • 12-Month Price Target$286Based on 9x CY27E EV/Sales.
  • Reference Share Price$187.97Nebius Group reference price disclosed in the report; the market price date is stated as the close on August 7, 2026.
  • Implied Upside to Price TargetApproximately 52.2%Calculated using the $286 price target and the $187.97 reference share price, excluding dividends.

Impact & implications

If Nebius confirms the continuation of selling out at higher prices, long-term contracts, and prepayment trends, and provides credible progress on power access and site ramp-up, the market may raise expectations for 2026 revenue and subsequent ARR. New enterprise and AI startup customer additions would reduce concerns that growth is overly dependent on multi-year hyperscale customer contracts, while the asset-light platform model could expand coverage with lower capital investment. Conversely, if competition intensifies, capacity ramp-up is delayed, or regulatory constraints become bottlenecks, the sustainability of the current high-growth valuation will be questioned.

Risks

  • Hyperscalers and new entrants such as Meta intensify competition in AI cloud infrastructure.
  • Growth in AI applications and compute demand is slower than expected.
  • Shorter-duration contracts increase visibility risk for revenue and ARR.
  • Data center construction, site ramp-up, or grid connection progress falls short of expectations.
  • Regulatory approvals in different regions may become bottlenecks for capacity expansion.
  • The revenue-sharing, capital responsibility, and customer interest in the asset-light partnership model remain unclear.
  • Goldman Sachs discloses underwriting, shareholding, investment banking, and other client relationships with Nebius; investors should pay attention to potential conflicts of interest.

What to watch

  • Whether 2026 revenue guidance is raised and the specific contribution of strong pricing to ARR.
  • Contract durations for new and existing customers, prepayment ratios, and future capacity reservations.
  • The number of new enterprise and AI startup customers, contract sizes, and revenue ramp-up speed.
  • The impact of Meta's cloud business and other hyperscalers on industry pricing and competitive dynamics.
  • Ramp-up progress at recently announced sites, grid-connection milestones, and contracted power capacity.
  • Whether regulatory approvals in various regions delay data center or power infrastructure construction.
  • The fee model, margins, capital investment, and customer interest for deploying a full-stack AI cloud platform to infrastructure partners.
  • Whether declining unit token costs continue to stimulate compute usage and drive revenue growth.
Zhejiang ICP No. 2022035445-5
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