---
title: "Views on ASML's earnings report"
type: "Topics"
locale: "en"
url: "https://longbridge.com/en/topics/39925580.md"
description: "ASML's performance hasn't skyrocketed, with the core reasons being the dual physical constraints of &#34;its own capacity limitations&#34; and &#34;lagging downstream Fab (wafer fab) construction.&#34; Here's a breakdown of the core logic: 1. Demand has actually already &#34;exploded,&#34; but is limited by ASML's extremely long delivery cycle. To gauge ASML's business climate, one cannot just look at current revenue, but must also consider the order backlog. Lithography machines (especially EUV) are the most complex mechanical equipment currently manufactured by humans, and their supply chain is constrained by extremely high physical barriers (such as Zeiss's extreme ultraviolet lenses)..."
datetime: "2026-04-15T09:10:11.000Z"
locales:
  - [en](https://longbridge.com/en/topics/39925580.md)
  - [zh-CN](https://longbridge.com/zh-CN/topics/39925580.md)
  - [zh-HK](https://longbridge.com/zh-HK/topics/39925580.md)
author: "[SpiceMonkey](https://longbridge.com/en/profiles/17534703.md)"
---

# Views on ASML's earnings report

ASML's performance hasn't skyrocketed, with the core reasons being the dual physical constraints of **"its own capacity limitations"** and **"delayed downstream fab (wafer fabrication plant) construction"**.

Here is the core logic breakdown:

#### **1\. Demand has actually "exploded," but is constrained by ASML's extremely long delivery cycles**

To gauge ASML's business climate, one cannot just look at current revenue, but must also consider the order backlog.  
Lithography machines (especially EUV) are the most complex mechanical equipment currently manufactured by humans. Their supply chain is constrained by extremely high physical barriers (such as Zeiss's extreme ultraviolet lenses), making rapid expansion impossible, unlike assembling smartphones. The lead time for advanced EUV equipment is currently as long as **12 to 18 months**.  
Recently, giants like SK Hynix have placed nearly ten-billion-dollar super orders for EUV machines, but delivery is scheduled directly for 2027. Therefore, ASML's 2026 revenue guidance (€34-39 billion) reflects its **capacity**, not the **growing downstream demand**. The strong demand from AI is currently all locked in the order book at record highs, not yet at the stage of revenue recognition.

#### **2\. Downstream fab construction progress is lagging, leading to "machines with no place to go"**

For precision equipment like lithography machines, costing hundreds of millions of euros each, ASML can only recognize the majority of revenue after the downstream fab's cleanroom is fully completed, the equipment is "moved in," and commissioned.  
But the reality is that the physical construction progress of downstream fabs is severely delayed:

-   [TSMC's](https://longbridge.com/quote/TSM.US) factory in Arizona, USA, and [Intel's](https://longbridge.com/quote/INTC.US) expansion plans in Europe and the US have all been hindered to varying degrees by local unions, **shortages of skilled construction workers, slow environmental approvals, and delayed subsidy payouts**.
-   **The delay in physical construction** directly pushes back ASML's equipment delivery milestones, naturally postponing financial revenue recognition.

#### **3\. The "frugality" of fab capital expenditure (CapEx)**

Besides slow factory building, fabs are also more cautious when introducing next-generation machines.  
The High-NA EUV (High Numerical Aperture Extreme Ultraviolet) lithography machine, costing over €350 million per unit, is simply too expensive. Facing strong demand for AI chips, the preferred strategy for foundry giants like TSMC is currently: **to maximize the capacity of existing standard EUV machines through advanced packaging (like CoWoS)**, rather than aggressively upgrading equipment immediately. This "transitional strategy" in fab capital expenditure also makes ASML's sales guidance for High-NA EUV relatively conservative, without a sudden explosive leap.

Based on LongbridgeAI analysis, generative AI may make errors and does not constitute investment advice.

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