ASML Boosts 2026 Revenue Guidance on AI Chip Demand, Signaling Continued Growth for Vertiv and Celestica

ASML, a key supplier of advanced semiconductor manufacturing equipment, provides the machines essential for producing the sophisticated chips powering artificial intelligence (AI). Its financial performance offers insight into the broader AI economy, encompassing data center investments and software development. The company's recent first-quarter results on April 15 provided an updated view on this sector.

ASML reported first-quarter 2026 revenue of €8.8 billion, marking a nearly 14% increase year-over-year. The company subsequently elevated its full-year 2026 revenue guidance to a range of €36 billion to €40 billion, an increase from its previous forecast of €34 billion to €39 billion. This upward revision reflects strong customer demand across AI, smartphone, and personal computer markets, where supply constraints are evident. This strong performance extends to other companies in the AI infrastructure chain. Celestica, an electronics manufacturing services provider, saw its non-GAAP earnings climb 56% year-over-year to $6.05 per share.

ASML's updated outlook indicates sustained, high investment in AI infrastructure. The company plans to ship 25% more of its advanced extreme ultraviolet (EUV) lithography machines—devices critical for printing advanced AI chips—this year compared to 2025, with a further 33% jump projected for next year. This expansion in chip manufacturing directly benefits companies like Vertiv, which supplies power and thermal management solutions for the heat-intensive AI data centers. Vertiv ended 2025 with a $15 billion order backlog, up 109% year-over-year. Similarly, Celestica, a provider of networking switches for hyperscale data centers, continues to benefit from the demand for high-speed connectivity. The increasing capital expenditure by AI companies, driven by ASML's supply projections, suggests continued growth for these infrastructure partners. Investors will watch ASML's continued production ramp-up and how it impacts the financial performance of its AI ecosystem beneficiaries.