Taiwan Semiconductor Manufacturing (TSM) Other Accumulated Expenses (2009 - 2026)
Taiwan Semiconductor Manufacturing (TSM) posted Other Accumulated Expenses of $54.47 million for Q2 2026, up 24.1% from $43.87 million a year earlier but down 3.1% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Taiwan Semiconductor Manufacturing's Other Accumulated Expenses came in at $56.7 million, up 30.3% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, Taiwan Semiconductor Manufacturing's Other Accumulated Expenses was $43.5 million in FY2024 (-15.0%), $51.2 million in FY2023 (-4.1%), $53.4 million in FY2022 (+3.1%) and $51.8 million in FY2021 (-31.0%).
- Quarterly Other Accumulated Expenses has run from a low of -$11.01 million in Q4 2023 to a high of $77.51 million in Q3 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 22.0% over the last seven quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2026, with growth of 53.4%; the weakest was Q2 2023, with a decline of 37.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $56.21 million (Q1 2026), $56.93 million (Q4 2025) and $64.39 million (Q3 2025).
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 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.29 Mn |
| Jun 30, 2026 | 54.47 Mn |
| Mar 31, 2026 | 56.21 Mn |
| Dec 31, 2025 | 56.93 Mn |
| Sep 30, 2025 | 64.39 Mn |
| Jun 30, 2025 | 43.87 Mn |
| Mar 31, 2025 | 36.65 Mn |
| Dec 31, 2024 | 43.53 Mn |
| Sep 30, 2024 | 53.39 Mn |
| Jun 30, 2024 | 36.41 Mn |
| Mar 31, 2024 | 37.02 Mn |
| Dec 31, 2023 | 51.02 Mn |
| Sep 30, 2023 | 50.57 Mn |
| Jun 30, 2023 | 37.88 Mn |
| Mar 31, 2023 | 35.57 Mn |
| Dec 31, 2022 | 53.54 Mn |
| Sep 30, 2022 | 59.15 Mn |
| Jun 30, 2022 | 60.45 Mn |
| Mar 31, 2022 | 50.86 Mn |
| Dec 31, 2021 | 51.96 Mn |
Taiwan Semiconductor Manufacturing 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=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();