ASE Technology Holding (ASX) Operating Expenses (2009 - 2026)
ASE Technology Holding's Operating Expenses came in at -$601.64 million for the quarter ended Jun 30, 2026, compared with -$502.91 million a year earlier.
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Analysis
ASE Technology Holding (ASX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ASE Technology Holding reported Operating Expenses of -$1.13 billion; for the year ended Dec 31, 2025, it came in at $2.02 billion, up 14.8% from the prior year.
- Operating Expenses carries a five-year compound annual growth rate of 5.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Expenses was $1.76 billion in the year ended Dec 31, 2024 (+4.9%), $1.68 billion in the year ended Dec 31, 2023 (-5.7%), $1.78 billion in the year ended Dec 31, 2022 (+2.5%) and $1.74 billion in the year ended Dec 31, 2021 (+13.3%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2009.
- Business Quant data shows ASX's Operating Expenses at $548.03 million (quarter ended Mar 31, 2026), -$549.92 million (quarter ended Dec 31, 2025) and -$524.35 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | ASE Technology Holding | 105.53 Bn | 94.27 Bn | 1.27 Bn | -601.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -601.64 Mn |
| Mar 31, 2026 | 548.03 Mn |
| Dec 31, 2025 | -549.92 Mn |
| Sep 30, 2025 | -524.35 Mn |
| Jun 30, 2025 | -502.91 Mn |
| Mar 31, 2025 | 463.42 Mn |
| Dec 31, 2024 | -477.76 Mn |
| Sep 30, 2024 | -463.80 Mn |
| Jun 30, 2024 | -434.78 Mn |
| Mar 31, 2024 | -425.24 Mn |
| Dec 31, 2023 | -438.65 Mn |
| Sep 30, 2023 | -427.12 Mn |
| Jun 30, 2023 | -402.07 Mn |
| Mar 31, 2023 | -383.46 Mn |
| Dec 31, 2022 | -457.40 Mn |
| Sep 30, 2022 | -471.17 Mn |
| Jun 30, 2022 | -469.82 Mn |
| Mar 31, 2022 | -442.21 Mn |
| Dec 31, 2021 | -477.88 Mn |
| Sep 30, 2021 | -444.15 Mn |
API Access
ASE Technology Holding Operating 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=operating-expenses&ticker=ASX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ASX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();