ASML Evaluates Increasing EUV Tool Production Past 110 Units by 2028

ASML is evaluating methods to increase its annual production capacity of extreme-ultraviolet (EUV) lithography machines beyond 110 units by 2028. The company is responding to sustained demand for high-end chip-making equipment from the artificial intelligence sector.

The company has established a production capacity of at least 80 units for 2027, according to a Reuters report, but the firm is nearly sold out for that period. Analysts at JPMorgan noted that management described current market demand as "very very strong," and the majority of new orders are now being pushed into 2028 delivery windows.

"Demand remains very very strong, with most new orders currently for 2028 delivery," JPMorgan analysts noted in a recent assessment of the company's production outlook.

Identifying the Operational Bottleneck

ASML has identified the speed of its internal assembly process as the primary constraint on its ability to scale production. The current challenge lies in the complexity and time required to assemble the specialized EUV systems, which are essential for manufacturing the world's most advanced semiconductors.

By focusing on assembly efficiency, ASML aims to unlock additional volume to satisfy the backlog of orders from semiconductor manufacturers who rely on these machines to produce next-generation logic and memory chips.

Financial Context and Market Position

As of September 16, 2026, ASML Holding NV (ASML) shares were trading at $1,608.52. The company's ability to expand its manufacturing footprint impacts the capital expenditure plans of its largest customers, including foundries and memory producers that require these systems to maintain their technology roadmaps.

For the semiconductor industry, the availability of these machines serves as a leading indicator of future chip production capacity. With orders extending into 2028, the company's efforts to exceed the 110-unit target aim to prevent a supply bottleneck that could limit the growth of AI-focused hardware providers.