Taiwan Semiconductor Manufacturing (TSM) Other Operating Expenses (2009 - 2026)
Taiwan Semiconductor Manufacturing's Other Operating Expenses came in at $166.86 million for the quarter ended Jun 30, 2026, up 813.5% from $18.27 million a year earlier and up 214.5% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Taiwan Semiconductor Manufacturing reported Other Operating Expenses of $252.47 million; for the year ended Dec 31, 2025, it came in at $14.2 million.
- Other Operating Expenses carries a five-year compound annual growth rate of -10.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Operating Expenses was -$37.5 million in the year ended Dec 31, 2024, $6.2 million in the year ended Dec 31, 2023, -$12 million in the year ended Dec 31, 2022 and -$12 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Other Operating Expenses since the quarter ended Jun 30, 2018.
- Business Quant data shows TSM's Other Operating Expenses at $53.05 million (quarter ended Mar 31, 2026), $35.69 million (quarter ended Dec 31, 2025) and -$3.13 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.86 Mn |
| Mar 31, 2026 | 53.05 Mn |
| Dec 31, 2025 | 35.69 Mn |
| Sep 30, 2025 | -3.13 Mn |
| Jun 30, 2025 | 18.27 Mn |
| Mar 31, 2025 | -34.35 Mn |
| Dec 31, 2024 | -38.12 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | -39.43 Mn |
| Mar 31, 2024 | -4.13 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | 4.15 Mn |
| Jun 30, 2023 | -1.54 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | -11.76 Mn |
| Sep 30, 2022 | 394,341.01 |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | -28.69 Mn |
| Dec 31, 2021 | -12.00 Mn |
| Sep 30, 2021 | -3.33 Mn |
Taiwan Semiconductor Manufacturing Other 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=other-operating-expenses&ticker=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "TSM", "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-operating-expenses&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();