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ASML stock drops 5% as China segment takes hit from export bans

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ASML stock drops 5% as China segment takes hit from export bans

ASML raised full-year net sales guidance to €36 billion-€40 billion ($42.46 billion-$47.18 billion), citing strong AI-driven demand and customer capacity expansion plans for 2026 and beyond. The update was tempered by Q2 guidance of about $9.91 billion-$10.62 billion, slightly below the roughly $10.70 billion consensus, and by China’s share of net system sales falling to 19% from 36% due to export bans. Shares fell as much as 5% on the day, though the stock remains up 35% year-to-date.

Analysis

The first-order read is still constructive for the semiconductor capital-expenditure cycle: guidance moving higher while the stock sells off suggests the market is trying to reconcile near-term China normalization with a much larger AI-led demand runway. The more important second-order effect is that ASML’s book is becoming less China-dependent just as policy risk increases, which usually improves the quality of future revenue even if it reduces headline growth volatility. That makes the reaction more about mix than demand destruction. The underappreciated signal is timing. If customers are pulling capacity plans into 2026 and beyond, the order cycle is likely lengthening rather than peaking, which supports the entire lithography and memory equipment complex over the next 2-4 quarters. The near-term downside is that the market may have already priced a lot of this into the 35% YTD move, so any quarter where guidance is merely “good” instead of “raised” can still produce sharp de-rating in high-beta semis. For TSM, the setup is cleaner than the stock reaction implies: strong foundry utilization and record revenue validate the same AI infrastructure thesis that supports ASML, but TSM is more exposed to customer concentration and gross margin sensitivity if advanced-node demand moderates. The key contrarian point is that this is not a broad-based semis call; it is a capital-intensity call on a handful of AI leaders, while the rest of the ecosystem may lag as export controls, pricing power, and capacity constraints sort winners from cyclical beneficiaries. The biggest risk to the current tape is a slowdown in AI capex commentary from hyperscalers over the next 30-60 days, which would hit multiples before fundamentals.