Micron results reinforce positive read-through for European semiconductor equipment and AI infrastructure

Overview

This report uses Micron's 3QFY26 results and management outlook as the starting point to assess their read-through impact on European semiconductor equipment and AI infrastructure companies. Micron's revenue and next-quarter guidance both significantly exceeded expectations, while management emphasized AI-driven data center demand, tight DRAM and NAND supply-demand conditions, and rising future capital expenditures. Goldman Sachs believes this backdrop improves order visibility and technology roadmap visibility for European semiconductor equipment companies, while also supporting sustained AI infrastructure demand.

Core views

The core view is that tight memory supply-demand conditions and sustained AI demand create positive near- to medium-term momentum for European semiconductor equipment stocks. ASML is the biggest beneficiary due to its roughly 40% memory chip exposure and EUV equipment delivery lead times of over 12 months; ASMI is more exposed to logic demand but still has some memory exposure; strong HBM demand benefits all three European semiconductor equipment companies, especially BESI, because major memory makers are testing its Hybrid Bonding solution; strong AI demand also benefits Nebius, as it offers both bare-metal and software products and is expanding contracted power capacity.

Analysis framework

The report uses an earnings read-through approach: it first compares Micron's actual revenue, guidance, data center revenue, supply-demand commentary, strategic customer agreements, capital expenditure plans, and EUV supply agreement, and then maps these to the business exposure of European semiconductor equipment and AI infrastructure companies in memory, EUV, HBM, Hybrid Bonding, and compute infrastructure.

Methodology notes

• Earnings read-throughMicron results and outlook mapping

  Map Micron's memory demand, supply-demand, capital expenditure, and technology roadmap signals to upstream equipment and AI infrastructure beneficiaries.

  Micron's better-than-expected revenue, AI-driven data center demand, tight DRAM/NAND supply-demand conditions, and EUV supply agreement are used to assess the demand visibility and fundamental elasticity of ASML, ASMI, BESI, and Nebius.

• Valuation methodsTarget price multiple method

  Use forward-year earnings, EBITDA, or sales multiples to support 12-month target prices.

  ASML's target price is based on 40x CY27 P/E, ASMI on 25x CY27E EV/EBITDA, BESI on 33x CY27 EV/EBITDA, and Nebius on 9x CY27E EV/Sales.

• Goldman Sachs internal frameworkGS Factor Profile

  Compare stocks on a relative basis using growth, financial returns, valuation multiples, and composite indicators.

  The report states that this framework uses Goldman Sachs analyst forecasts and standardized rankings to convert sales, EBITDA, and EPS growth, as well as ROE, ROCE, CROCI, and valuation multiples, into percentile comparisons.

Asset mapping & comparison

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

• ASML

  A direct beneficiary of Micron's multi-year EUV supply agreement and rising memory capital expenditures.

  Strengths

  Approximately 40% exposure to memory chips, EUV tool delivery lead times exceeding 12 months, and the trend toward higher EUV layer counts is consistent with the report's view.

  Weaknesses

  Highly affected by the semiconductor capital expenditure cycle.

  Comparison

  Among Goldman Sachs' European semiconductor equipment coverage, ASML is seen as the biggest beneficiary of this demand backdrop.

  Risks

  EUV delays, capital expenditure cyclicality, and adverse market share shifts.

• ASMI

  Benefits from tight memory supply-demand conditions and improving equipment demand, but its exposure is relatively more skewed toward logic chips.

  Strengths

  Has some memory exposure and can benefit from clearer customer technology and product ramp timelines.

  Weaknesses

  Its business is more oriented toward logic demand, making its direct sensitivity to a memory upcycle weaker than ASML's.

  Comparison

  Compared with ASML, it has lower memory exposure; compared with BESI, it has less leverage to the Hybrid Bonding theme.

  Risks

  A worsening semiconductor cycle, stronger-than-expected competition, and high customer concentration.

• BESI

  A beneficiary of strong HBM demand and future Hybrid Bonding adoption.

  Strengths

  At its CMD, the company reiterated that the three major memory makers are testing its Hybrid Bonding solution, and memory adoption is viewed as an important future component of Hybrid Bonding demand.

  Weaknesses

  The pace of technology adoption still needs to be validated.

  Comparison

  Under the HBM and Hybrid Bonding theme, BESI is seen as a particular beneficiary.

  Risks

  Cyclicality in customer spending, delays in Hybrid Bonding adoption, and intensifying competition.

• Nebius

  A beneficiary of strong AI infrastructure demand.

  Strengths

  It has a portfolio of bare-metal and software products and is making progress in expanding contracted power capacity to serve AI demand.

  Weaknesses

  Shorter contract durations may reduce revenue visibility.

  Comparison

  Compared with semiconductor equipment companies, Nebius is more directly exposed to demand for AI infrastructure services.

  Risks

  Competitive pressure from hyperscalers, slower-than-expected AI adoption, and reduced visibility due to short-term contracts.

• Micron Technology

  The source company for the earnings read-through in this report.

  Strengths

  3QFY26 revenue and 4QFY26 guidance significantly exceeded expectations, data center revenue was strong, and strategic customer agreements improved medium-term visibility.

  Weaknesses

  The report's focus is not on Micron's valuation itself, but on its transmission effect to related European companies.

  Comparison

  Micron's memory supply-demand and capital expenditure signals are used as leading indicators for European equipment and AI infrastructure companies.

  Risks

  Memory supply improving faster than expected, slowing AI demand, and adjustments to capital expenditure plans.

Key data

• Micron 3QFY26 revenueapproximately $41.5 billionUp 346% year over year and 74% quarter over quarter, above the Visible Alpha consensus estimate of $36.3 billion.
• Micron 4QFY26 revenue guidance midpoint$50.0 billionUp 21% quarter over quarter and about 15% above the pre-print consensus estimate of $43.3 billion.
• Micron 3QFY26 data center revenuemore than $25.0 billionImplies annualized revenue of about $100.0 billion.
• Strategic customer agreements16 take-or-pay agreementsCovering end markets including data centers, consumer, and automotive; floor pricing corresponds to about $100.0 billion in cumulative committed revenue over five years.
• Agreement coverageabout 20% of expected DRAM shipments and about one-third of NAND shipmentsReflecting visibility on part of future volume and pricing over the next several years.
• Micron 4QFY26 expected capital expenditureabout $10.0 billionImplies FY26 capital expenditure of about $27.0 billion.
• FY27 capital expendituresignificantly higher year over yearGoldman Sachs' model currently forecasts FY27 capital expenditure at $50.0 billion, with about 50% of the increase coming from construction capex.
• ASML target price€1,770Buy rating, based on 40x CY27 P/E.
• ASMI target price€955Buy rating, based on 25x CY27E EV/EBITDA.
• BESI target price€315Buy rating, based on 33x CY27 EV/EBITDA.
• Nebius target price$267Buy rating, based on 9x CY27E EV/Sales.

Impact & implications

If the AI-driven memory demand and tight supply-demand conditions described by Micron continue, semiconductor equipment makers may gain better order visibility and stronger momentum for technology upgrades. ASML benefits from memory exposure and increasing EUV layer counts, BESI benefits from HBM and Hybrid Bonding adoption, ASMI gains some memory-related upside, and Nebius benefits from AI infrastructure demand and contracted power capacity expansion.

Risks

• Memory demand or AI infrastructure demand may come in below expectations.
• Memory supply may improve faster than expected, weakening support for pricing and capital expenditures.
• A cyclical downturn in semiconductor capital expenditures.
• Delayed adoption of key technologies such as EUV or Hybrid Bonding.
• Intensifying competition in AI infrastructure, especially from hyperscalers.
• Customer concentration and short-term contracts may reduce earnings and revenue visibility.
• Goldman Sachs discloses that it has investment banking or other commercial relationships with several covered companies, and investors should pay attention to potential conflict-of-interest disclosures.

What to watch

• Whether Micron's subsequent commentary on DRAM, NAND, and HBM demand continues to indicate tight supply-demand conditions.
• Whether Micron FY27 capital expenditures approach Goldman Sachs' model expectation of $50.0 billion.
• Whether Micron's EUV supply agreement with ASML leads to clearer signals on orders and higher layer counts.
• Testing progress and timing of volume adoption of BESI's Hybrid Bonding solution by the three major memory makers.
• Expansion in Nebius' contracted power capacity, contract duration, and changes in AI customer demand.
• What ASML, ASMI, BESI, and Nebius say in upcoming earnings calls about orders, delivery lead times, and demand visibility.