ASML Q1 2026 Earnings: Why the Company Behind Every AI Chip Just Raised Its Outlook to €40 Billion

ASML, the Dutch company that manufactures the machines required to produce the world’s most advanced semiconductors, just reported first-quarter earnings that beat expectations and raised its full-year 2026 outlook. The results confirm what many in the industry already suspected: the AI chip boom is not slowing down, and the companies that make the tools to build those chips are reaping the rewards.

But the earnings report also revealed a growing tension between surging demand for AI-related chips and tightening geopolitical restrictions that are reshaping ASML’s business. Here is what the numbers show and what they mean for the broader AI ecosystem.

The Numbers: Beating Expectations

ASML reported first-quarter 2026 results that exceeded analyst consensus on both revenue and profit:

• Net sales: €8.8 billion ($10.4 billion) versus €8.5 billion expected
• Net profit: €2.8 billion versus €2.5 billion expected
• Previous guidance range: €8.2 billion to €8.9 billion

Based on this strong performance, ASML raised its full-year 2026 revenue outlook to €36 billion to €40 billion, up from a previous forecast of €34 billion to €39 billion. This upgrade signals that management sees the demand trajectory continuing to strengthen rather than plateau.

ASML CEO Christophe Fouquet was direct about the driver behind the results: “The semiconductor industry’s growth outlook continues to solidify, driven by ongoing AI-related infrastructure investments. Demand for chips is outpacing supply. In response, our customers are accelerating their capacity expansion plans for 2026 and beyond.”

Notably, this is the first quarter where ASML did not disclose specific order numbers, a metric that investors typically watch closely. Fouquet stated that order intake “continues to be very strong” but did not provide figures. Analysts have noted that the market will need to adjust to this reduced transparency.

Why ASML Matters: The Only Game in Town

ASML occupies a unique position in the global technology supply chain. It is the only company in the world that manufactures extreme ultraviolet (EUV) lithography machines, the equipment required to print the smallest, most advanced chip features. Without ASML’s machines, it is not possible to manufacture the cutting-edge chips that power AI systems from companies like Nvidia, AMD, Apple, and Intel.

Each EUV machine costs hundreds of millions of dollars and is roughly the size of a bus. The manufacturing process is so complex that ASML can only produce a limited number of these machines per year, creating a supply bottleneck that affects the entire semiconductor industry.

When AI companies need more advanced chips, their chipmakers (primarily TSMC, Samsung, and Intel) need more ASML machines. The company is, in effect, the ultimate “picks and shovels” play on the AI revolution: regardless of which AI model wins the performance race, all of them require chips made on ASML equipment.

Memory Chips Are the New Growth Driver

One of the most significant shifts in ASML’s Q1 results was the growing contribution of memory chip manufacturers. ASML reported that 51% of its new tool sales went toward memory production, up from just 30% in the previous quarter. This represents a major shift in the demand composition.

Memory chips, particularly high-bandwidth memory (HBM) from Samsung and SK Hynix, are essential components in AI systems. AI accelerators like Nvidia’s H200 and B200 require HBM modules to feed data to the GPU fast enough to avoid performance bottlenecks. The explosive growth in AI training and inference workloads has created a severe HBM shortage, driving prices to unprecedented highs.

South Korean customers accounted for 45% of ASML’s Q1 sales, while Taiwan represented 23%. Both figures reflect the concentration of memory manufacturing in Korea (Samsung, SK Hynix) and advanced logic chip manufacturing in Taiwan (TSMC).

The memory chip shortage is particularly important because it affects not just AI training but also AI inference at scale. As more companies deploy AI models in production, the demand for HBM will continue to grow, benefiting ASML’s order book for the foreseeable future.

The China Problem: Sales Cut Nearly in Half

The most concerning data point in ASML’s report was the collapse of its China sales. System sales to China fell to 19% of overall sales in Q1 2026, down from 36% in the December quarter and over 35% eighteen months ago. This decline is the direct result of tightening US and Dutch export restrictions on advanced semiconductor manufacturing equipment.

ASML cannot ship its most advanced EUV machines to China at all due to existing export controls. Earlier in April 2026, a bipartisan group of US lawmakers introduced legislation that would ban even less-advanced DUV machines from being exported to China. While that law still needs to work through the legislative process, it signals that the restrictions are likely to tighten further rather than ease.

China has historically been one of ASML’s largest markets, and losing nearly half of that revenue in just over a year represents a significant headwind. However, ASML’s overall growth has been strong enough to absorb this loss, suggesting that AI-driven demand from other regions is more than compensating for the China decline.

Looking Ahead: EUV Shipments and Future Capacity

ASML provided guidance on its manufacturing capacity for the coming years. Fouquet said the company could deliver 80 low-NA EUV machines in 2027, “if customer demand really underpins it.” Some analysts had hoped for 90 units, and Barclays noted that the 80-unit target “could disappoint somewhat.”

The company is also developing its next-generation high-NA EUV machines, which are needed for the most advanced chip nodes. These machines are even larger, more expensive, and more complex than current EUV systems, and their production volume will be a key factor in determining how quickly the industry can transition to next-generation chip technology.

ASML’s capacity expansion plans extend beyond just EUV. The company is investing in its supply chain to increase production of all lithography equipment types, recognizing that the demand for chips spans the entire spectrum from legacy nodes used in automotive and industrial applications to cutting-edge AI chips.

What This Means for the AI Industry

ASML’s results are a real-time indicator of AI infrastructure demand. When the company that makes the tools to build AI chips raises its outlook by billions of euros, it means the companies buying those tools (TSMC, Samsung, Intel) are planning to manufacture significantly more chips than previously expected.

This has several implications:

For AI companies: More chip manufacturing capacity means more access to the GPUs and accelerators needed to train and deploy AI models. The supply constraints that have driven up compute costs may gradually ease, though the timeline depends on how quickly ASML can scale its EUV production.

For enterprises: The continued investment in chip manufacturing capacity suggests that AI compute costs will remain a significant budget item for the foreseeable future. Organizations planning AI initiatives should expect that compute demand will grow faster than prices fall.

For investors: ASML’s results confirm that the “picks and shovels” thesis for AI investing remains sound. The company’s unique market position, strong order book, and raised guidance make it one of the clearest ways to gain exposure to the AI infrastructure buildout.

The fundamental dynamic is straightforward: AI requires chips, chips require ASML machines, and ASML cannot make machines fast enough to satisfy demand. As long as that equation holds, ASML’s growth story remains intact, regardless of which AI model or company wins the performance race.

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