Asml Holding (ASMLF) Accumulated Expenses (2009 - 2025)
Asml Holding's Accumulated Expenses came in at $2.99 billion for the quarter ended Dec 31, 2025, up 4.1% from $2.87 billion a year earlier.
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Analysis
Asml Holding (ASMLF) Accumulated Expenses (2009 - 2025) Analysis & Trends
Going back to the quarter ended Mar 29, 2009, Asml Holding's Accumulated Expenses data covers 66 quarters.
- Accumulated Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 16.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $2.87 billion in the year ended Dec 31, 2024 (+22.5%), $2.34 billion in the year ended Dec 31, 2023 (+22.4%), $1.91 billion in the year ended Dec 31, 2022 (+16.5%) and $1.64 billion in the year ended Dec 31, 2021 (+20.2%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2013.
- Year-over-year, Accumulated Expenses increased in three of the last six quarters, with growth averaging 2.9%.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Oct 2, 2022 (growth of 67.1%), and the weakest in the quarter ended Sep 29, 2024 (a decline of 6.4%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -32.19 Mn |
| Mar 31, 2019 | 32.90 Mn |
| Dec 31, 2018 | 33.52 Mn |
| Sep 30, 2018 | 32.70 |
| Jul 1, 2018 | 27.17 |
| Apr 1, 2018 | 27.44 |
| Oct 1, 2017 | 24.98 |
| Jul 2, 2017 | 23.46 |
| Apr 2, 2017 | 21.91 |
| Dec 31, 2016 | 1.90 Mn |
| Oct 2, 2016 | 18.51 |
| Jul 3, 2016 | 13.99 |
| Dec 31, 2015 | 2.67 Mn |
| Sep 27, 2015 | 3.13 |
| Jun 28, 2015 | 3.58 |
| Mar 29, 2015 | 4.03 Mn |
| Dec 31, 2014 | 2.86 Mn |
| Sep 28, 2014 | 5.10 Mn |
| Jun 29, 2014 | 5.58 Mn |
| Mar 30, 2014 | 6.05 Mn |
API Access
Asml Holding Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASMLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ASMLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASMLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();