Taiwan Semiconductor Manufacturing (TSM) Total Debt (2009 - 2026)
Taiwan Semiconductor Manufacturing (TSM) posted Total Debt of $6.8 billion for Q2 2026, up 52.9% from $4.45 billion a year earlier and up 10.4% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Taiwan Semiconductor Manufacturing's Total Debt came in at $5.63 billion, up 101.5% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, Taiwan Semiconductor Manufacturing's Total Debt was $2.8 billion in FY2024 (+526.1%), $446.6 million in FY2023 (-43.0%), $783.4 million in FY2022 (-82.3%) and $4.43 billion in FY2021 (+33.5%).
- The Q2 2026 figure stands as the highest quarterly Total Debt since Q2 2020.
- On a year-over-year basis, Total Debt has increased in each of the last ten quarters, with growth averaging 262.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q3 2024, with growth of 596.3%; the weakest was Q1 2023, with a decline of 91.9%.
- According to Business Quant data, Total Debt for the three prior quarters was $6.16 billion (Q1 2026), $5.66 billion (Q4 2025) and $3.74 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (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 | 8.20 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 33.37 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 59.42 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.18 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.08 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 5.16 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 50.13 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 | 3.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.20 Bn |
| Jun 30, 2026 | 6.80 Bn |
| Mar 31, 2026 | 6.16 Bn |
| Dec 31, 2025 | 5.66 Bn |
| Sep 30, 2025 | 3.74 Bn |
| Jun 30, 2025 | 4.45 Bn |
| Mar 31, 2025 | 3.03 Bn |
| Dec 31, 2024 | 2.80 Bn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 987.18 Mn |
| Mar 31, 2024 | 703.36 Mn |
| Dec 31, 2023 | 445.51 Mn |
| Sep 30, 2023 | 387.80 Mn |
| Jun 30, 2023 | 441.45 Mn |
| Mar 31, 2023 | 467.44 Mn |
| Dec 31, 2022 | 784.67 Mn |
| Sep 30, 2022 | 837.23 Mn |
| Jun 30, 2022 | 4.58 Bn |
| Mar 31, 2022 | 5.76 Bn |
| Dec 31, 2021 | 4.44 Bn |
Taiwan Semiconductor Manufacturing Total Debt 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=total-debt&ticker=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();