Taiwan Semiconductor Manufacturing (TSM) Total Liabilities (2009 - 2026)
Taiwan Semiconductor Manufacturing (TSM) posted Total Liabilities of $92.36 billion for Q2 2026, up 10.8% from $83.36 billion a year earlier and up 6.8% from the prior quarter.
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Analysis
Taiwan Semiconductor Manufacturing (TSM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Taiwan Semiconductor Manufacturing's Total Liabilities came in at $82.17 billion, up 10.1% from FY2024.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- In prior years, Taiwan Semiconductor Manufacturing's Total Liabilities was $74.64 billion in FY2024 (+8.7%), $68.67 billion in FY2023 (+2.4%), $67.08 billion in FY2022 (+18.1%) and $56.81 billion in FY2021 (+72.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 10.5% over the last four quarters.
- The year-over-year growth in Total Liabilities has ranged between 1.9% (Q4 2023) and 72.8% (Q4 2021) over the last five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 12.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 95.92 Bn |
| Jun 30, 2026 | 92.36 Bn |
| Mar 31, 2026 | 86.46 Bn |
| Dec 31, 2025 | 82.51 Bn |
| Sep 30, 2025 | 77.35 Bn |
| Jun 30, 2025 | 83.36 Bn |
| Mar 31, 2025 | 77.42 Bn |
| Dec 31, 2024 | 74.71 Bn |
| Sep 30, 2024 | 68.90 Bn |
| Jun 30, 2024 | 67.37 Bn |
| Mar 31, 2024 | 67.22 Bn |
| Dec 31, 2023 | 68.50 Bn |
| Sep 30, 2023 | 66.63 Bn |
| Jun 30, 2023 | 63.01 Bn |
| Mar 31, 2023 | 64.83 Bn |
| Dec 31, 2022 | 67.19 Bn |
| Sep 30, 2022 | 60.24 Bn |
| Jun 30, 2022 | 62.35 Bn |
| Mar 31, 2022 | 58.83 Bn |
| Dec 31, 2021 | 56.98 Bn |
API Access
Taiwan Semiconductor Manufacturing Total Liabilities 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-liabilities&ticker=TSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();