ASE Technology Holding (ASX) Other Accumulated Expenses (2009 - 2026)
ASE Technology Holding's Other Accumulated Expenses came in at $735.58 million for Q2 2026, up 26.4% from $581.99 million a year earlier but down 8.7% from the prior quarter.
ASE Technology Holding (ASX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, ASE Technology Holding's Other Accumulated Expenses was $681.01 million, up 35.4% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $503.09 million in FY2024 (-11.5%), $568.65 million in FY2023 (+6.1%), $536.09 million in FY2022 (+14.2%) and $469.46 million in FY2021 (+81.5%).
- The five-year range for quarterly Other Accumulated Expenses is -$23.39 million (Q4 2021) to $960.83 million (Q2 2022).
- Year-over-year, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 1.7% over the last seven quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2022 (growth of 74.3%), and the weakest in Q4 2023 (a decline of 99.8%).
- Business Quant data shows ASX's Other Accumulated Expenses at $805.58 million (Q1 2026), $683.77 million (Q4 2025) and $617.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | ASE Technology Holding | 79.05 Bn | 67.38 Bn | 1.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 805.58 Mn |
| Dec 31, 2025 | 683.77 Mn |
| Mar 31, 2025 | 513.54 Mn |
| Dec 31, 2024 | 503.55 Mn |
| Dec 31, 2023 | 567.20 Mn |
| Dec 31, 2022 | 536.96 Mn |
| Dec 31, 2021 | -23.39 Mn |
| Dec 31, 2020 | -875,097.98 |
| Dec 31, 2019 | 221.22 Mn |
| Dec 31, 2018 | 195.86 Mn |
| Dec 31, 2017 | 155.81 Mn |
| Sep 30, 2017 | 145.16 Mn |
| Dec 31, 2016 | 119.37 Mn |
| Sep 30, 2016 | 111.57 Mn |
| Dec 31, 2015 | 99.44 Mn |
| Mar 31, 2015 | 70.11 Mn |
| Dec 31, 2014 | 581.72 Mn |
| Mar 31, 2014 | 51.86 Mn |
| Dec 31, 2013 | 52.84 Mn |
| Mar 31, 2013 | 50.21 Mn |
ASE Technology Holding Other 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=other-accumulated-expenses&ticker=ASX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ASX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ASX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();