ASML: Europe’s AI Powerhouse and the Next Semiconductor Super Cycle
- ASML Holding NV has confirmed that demand for its extreme ultraviolet (EUV) lithography systems remains exceptionally strong, driven by accelerating investments in artificial intelligence infrastructure and the continued...
- The Dutch semiconductor equipment maker reported better-than-expected financial results for the first quarter of 2026, with net sales reaching €6.2 billion, a 28% increase year-on-year, and net profit...
- ASML’s order backlog stood at €39 billion at the end of March 2026, up from €34 billion three months earlier, reflecting sustained customer commitment to next-generation lithography tools.
ASML Holding NV has confirmed that demand for its extreme ultraviolet (EUV) lithography systems remains exceptionally strong, driven by accelerating investments in artificial intelligence infrastructure and the continued ramp-up of advanced chip production across key semiconductor manufacturers.
The Dutch semiconductor equipment maker reported better-than-expected financial results for the first quarter of 2026, with net sales reaching €6.2 billion, a 28% increase year-on-year, and net profit rising to €1.8 billion. The company attributed the growth to robust demand from memory and logic chip producers expanding capacity for AI-optimized semiconductors.
Strong Order Book Signals Continued Expansion in AI Chip Production
ASML’s order backlog stood at €39 billion at the end of March 2026, up from €34 billion three months earlier, reflecting sustained customer commitment to next-generation lithography tools. The company noted that memory chipmakers, particularly those producing high-bandwidth memory (HBM) for AI accelerators, accounted for over 60% of its EUV system sales in the quarter.
“We are seeing a clear shift in capital allocation toward AI-driven workloads, which is translating into sustained demand for our most advanced systems,” said Peter Wennink, CEO of ASML, during the earnings call. “Our customers are not just maintaining capacity — they are building new lines specifically for AI chips, and that requires EUV.”
Valuation Remains Elevated Despite Strong Fundamentals
Despite the strong performance, ASML’s share price came under pressure following the results, trading down 4.2% in Amsterdam on April 19, 2026. Analysts cited concerns over the company’s lofty valuation, with a forward price-to-earnings ratio of approximately 48 times, well above the semiconductor equipment sector average.
“The fundamentals are undeniably strong, but the market is pricing in perfection,” said Lena Vogel, senior equity analyst at Bernstein Research. “Any sign of slowing in AI capex or a delay in customer fab ramps could trigger a reassessment, given how much optimism is already embedded in the stock.”
Geopolitical Factors and Export Controls Add Layer of Uncertainty
ASML continues to operate under strict export regulations limiting the sale of its most advanced EUV systems to certain jurisdictions, particularly in relation to advanced chipmaking capabilities in China. While the company confirmed compliance with all applicable rules, it acknowledged that geopolitical tensions remain a persistent factor in long-term planning.
“We operate within the framework set by governments, and our focus is on serving our global customer base within those boundaries,” Wennink added. “The underlying demand for advanced lithography is not going away — it’s being shaped by where and how chips are allowed to be made.”
Outlook Reinforces Confidence in Multi-Year AI-Driven Cycle
Looking ahead, ASML reiterated its full-year 2026 guidance, projecting net sales between €27.5 billion and €28.5 billion and net profit between €7.8 billion and €8.2 billion. The company emphasized that its outlook assumes continued strength in AI-related semiconductor investments and no major disruptions to supply chains or customer capex plans.
The outlook aligns with broader industry expectations of a prolonged supercycle in semiconductor manufacturing, fueled by the expanding compute demands of generative AI, large language models, and AI-integrated consumer and enterprise applications.
