United Microelectronics (UMC) Non-Current Debt (2009 - 2026)
United Microelectronics (UMC) posted Non-Current Debt of -$692.67 million for the year ended Dec 31, 2023.
Analysis
United Microelectronics (UMC) Non-Current Debt (2009 - 2026) Analysis & Trends
- The figure for the year ended Dec 31, 2023 stands as the highest annual Non-Current Debt since the year ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 32.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 1.54 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 57.17 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 4.69 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 2.35 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 3.18 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 48.55 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 5.25 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 3.73 Bn |
| 10 | United Microelectronics | 45.98 Bn | 31.23 Bn | 706.26 Mn | 360.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360.57 Mn |
| Mar 31, 2026 | 408.61 Mn |
| Dec 31, 2025 | 361.70 Mn |
| Sep 30, 2025 | 803.70 Mn |
| Jun 30, 2025 | 595.21 Mn |
| Mar 31, 2025 | 603.91 Mn |
| Dec 31, 2024 | 944.70 Mn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 704.16 Mn |
| Mar 31, 2024 | 589.32 Mn |
| Dec 31, 2023 | 672.89 Mn |
| Sep 30, 2023 | 667.57 Mn |
| Jun 30, 2023 | 580.85 Mn |
| Mar 31, 2023 | 537.60 Mn |
| Dec 31, 2022 | 547.40 Mn |
| Sep 30, 2022 | 729.15 Mn |
| Jun 30, 2022 | 762.48 Mn |
| Mar 31, 2022 | 946.10 Mn |
| Dec 31, 2021 | 605.66 Mn |
| Sep 30, 2021 | 1.11 Bn |
API Access
United Microelectronics Non-Current 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=non-current-debt&ticker=UMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=UMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();