United Microelectronics (UMC) Long-Term Debt Repayments (2009 - 2026)
United Microelectronics (UMC) recorded Long-Term Debt Repayments of -$287.71 million in the quarter ended Sep 30, 2026, compared with -$407.52 million a year earlier.
United Microelectronics (UMC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, United Microelectronics' Long-Term Debt Repayments came in at $2.01 billion as of Sep 30, 2026, up 483.7% year-over-year; for the year ended Dec 31, 2025, it was $1.49 billion, up 54.9% from the prior year.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 9.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Long-Term Debt Repayments came in at $963.94 million in the year ended Dec 31, 2024 (+155.4%), $377.48 million in the year ended Dec 31, 2023 (-66.3%), $1.12 billion in the year ended Dec 31, 2022 (+130.8%) and $485.66 million in the year ended Dec 31, 2021 (-49.7%).
- Quarterly Long-Term Debt Repayments has ranged from -$407.52 million in the quarter ended Sep 30, 2025 to $2.47 billion in the quarter ended Dec 31, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$74.39 million (quarter ended Jun 30, 2026), -$99.64 million (quarter ended Mar 31, 2026) and $2.47 billion (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -3.20 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -8.18 Mn |
| 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 | -10.53 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 663.00 Mn |
| 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 | 119.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | United Microelectronics | 38.77 Bn | 23.14 Bn | 788.24 Mn | -287.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -287.71 Mn |
| Jun 30, 2026 | -74.39 Mn |
| Mar 31, 2026 | -99.64 Mn |
| Dec 31, 2025 | 2.47 Bn |
| Sep 30, 2025 | -407.52 Mn |
| Jun 30, 2025 | -171.74 Mn |
| Mar 31, 2025 | -374.56 Mn |
| Dec 31, 2024 | 1.30 Bn |
| Sep 30, 2024 | -84.03 Mn |
| Jun 30, 2024 | -13.29 Mn |
| Mar 31, 2024 | -227.88 Mn |
| Dec 31, 2023 | 714.22 Mn |
| Sep 30, 2023 | -233.39 Mn |
| Jun 30, 2023 | -103.57 Mn |
| Mar 31, 2023 | -19.43 Mn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | -2.05 Mn |
| Jun 30, 2022 | -147.91 Mn |
| Mar 31, 2022 | -259.40 Mn |
| Dec 31, 2021 | 821.93 Mn |
United Microelectronics 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=UMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "UMC", "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=UMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();