Taiwan Semiconductor Manufacturing (TSM) Accumulated Expenses (2009 - 2026)
Taiwan Semiconductor Manufacturing's Accumulated Expenses was $13.24 billion in Q2 2026, down 13.3% from $15.28 billion a year earlier but up 11.1% from the prior quarter.
Powered by 
Analysis
Taiwan Semiconductor Manufacturing (TSM) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Taiwan Semiconductor Manufacturing came in at $12.79 billion, down 7.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $13.76 billion in FY2024 (+42.0%), $9.69 billion in FY2023 (+1.6%), $9.54 billion in FY2022 (+63.1%) and $5.85 billion in FY2021 (+87.3%).
- Quarterly Accumulated Expenses has moved between $5.01 billion (Q3 2021) and $15.28 billion (Q2 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with growth averaging 9.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 87.8%); the worst was Q1 2026 (a decline of 16.8%).
- Per Business Quant data, TSM's Accumulated Expenses in the three quarters before Q2 2026 was $11.92 billion (Q1 2026), $12.84 billion (Q4 2025) and $14.18 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.06 Bn |
| Jun 30, 2026 | 13.24 Bn |
| Mar 31, 2026 | 11.92 Bn |
| Dec 31, 2025 | 12.84 Bn |
| Sep 30, 2025 | 14.18 Bn |
| Jun 30, 2025 | 15.28 Bn |
| Mar 31, 2025 | 14.34 Bn |
| Dec 31, 2024 | 13.77 Bn |
| Sep 30, 2024 | 14.37 Bn |
| Jun 30, 2024 | 12.64 Bn |
| Mar 31, 2024 | 13.04 Bn |
| Dec 31, 2023 | 9.66 Bn |
| Sep 30, 2023 | 10.17 Bn |
| Jun 30, 2023 | 8.88 Bn |
| Mar 31, 2023 | 8.60 Bn |
| Dec 31, 2022 | 9.56 Bn |
| Sep 30, 2022 | 8.43 Bn |
| Jun 30, 2022 | 6.67 Bn |
| Mar 31, 2022 | 6.53 Bn |
| Dec 31, 2021 | 5.87 Bn |
API Access
Taiwan Semiconductor Manufacturing 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=TSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();