Taiwan Semiconductor Manufacturing (TSM) Long-Term Debt Repayments (2009 - 2026)
Taiwan Semiconductor Manufacturing's Long-Term Debt Repayments came in at -$1.58 billion for the quarter ended Jun 30, 2026, compared with -$337.57 million a year earlier.
Taiwan Semiconductor Manufacturing (TSM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Taiwan Semiconductor Manufacturing reported Long-Term Debt Repayments of -$4.8 billion; for the year ended Dec 31, 2025, it came in at -$1.73 billion.
- Going back by year, Long-Term Debt Repayments was -$213.5 million in the year ended Dec 31, 2024, -$591.1 million in the year ended Dec 31, 2023, -$143.2 million in the year ended Dec 31, 2022 and -$93.7 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Long-Term Debt Repayments is -$1.75 billion (the quarter ended Dec 31, 2025) to -$16.33 million (the quarter ended Mar 31, 2024).
- Business Quant data shows TSM's Long-Term Debt Repayments at -$151.9 million (quarter ended Mar 31, 2026), -$1.75 billion (quarter ended Dec 31, 2025) and -$1.31 billion (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) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,176.18 Bn | 4,950.34 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,151.74 Bn | 1,776.60 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,543.28 Bn | 1,469.32 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 990.33 Bn | 895.97 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 835.50 Bn | 792.25 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 619.35 Bn | 575.04 Bn | 5.90 Bn | - |
| 7 | Intel | 445.53 Bn | 314.66 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Applied Materials | 302.96 Bn | 268.40 Bn | 4.59 Bn | - |
| 9 | Lam Research | 294.96 Bn | 271.76 Bn | 3.48 Bn | 1.36 Mn |
| 10 | Texas Instruments | 256.34 Bn | 234.16 Bn | 3.35 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.28 Mn |
| Mar 31, 2026 | -12.33 Mn |
| Dec 31, 2025 | 1.91 Bn |
| Sep 30, 2025 | -24.06 Mn |
| Jun 30, 2025 | -23.34 Mn |
| Mar 31, 2025 | -21.90 Mn |
| Dec 31, 2024 | 339.43 Mn |
| Sep 30, 2024 | -18.74 Mn |
| Jun 30, 2024 | -16.81 Mn |
| Mar 31, 2024 | -16.33 Mn |
| Dec 31, 2023 | 663.71 Mn |
| Sep 30, 2023 | -14.46 Mn |
| Jun 30, 2023 | -14.92 Mn |
| Mar 31, 2023 | -10.85 Mn |
| Dec 31, 2021 | 187.14 Mn |
| Sep 30, 2021 | -186.89 Mn |
| Jun 30, 2021 | 186.05 Mn |
| Mar 31, 2021 | -92.77 Mn |
| Dec 31, 2020 | 2.23 Bn |
| Sep 30, 2020 | -1.82 Bn |
Taiwan Semiconductor Manufacturing Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();