United Microelectronics (UMC) Notes Payables (2009 - 2026)
United Microelectronics (UMC) reported Short-Term Borrowings of $86.94 million for the quarter ended Sep 30, 2026, down 83.5% from $527.29 million a year earlier and down 1.3% from the prior quarter.
United Microelectronics (UMC) Notes Payables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, United Microelectronics posted Short-Term Borrowings of $268.05 million, up 3.2% from the prior year.
- Short-Term Borrowings has a five-year compound annual growth rate of -7.4% (years ended Dec 2020 to Dec 2025).
- By year, Short-Term Borrowings came in at $259.68 million in the year ended Dec 31, 2024 (-41.2%), $441.87 million in the year ended Dec 31, 2023 and $69.36 million in the year ended Dec 31, 2021 (-82.4%).
- The figure for the quarter ended Sep 30, 2026 ranks as the lowest quarterly Short-Term Borrowings since the quarter ended Jun 30, 2023.
- Year over year, Short-Term Borrowings has now declined in each of the last three quarters, with an average decline of 17.1% over the last eight quarters.
- The high point for year-over-year Short-Term Borrowings in five years was the quarter ended Jun 30, 2025 (growth of 133.8%); the low point was the quarter ended Mar 31, 2023 (a decline of 93.0%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $88.09 million (quarter ended Jun 30, 2026), $112.04 million (quarter ended Mar 31, 2026) and $269.14 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 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 |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | United Microelectronics | 38.77 Bn | 23.14 Bn | 788.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.94 Mn |
| Jun 30, 2026 | 88.09 Mn |
| Mar 31, 2026 | 112.04 Mn |
| Dec 31, 2025 | 269.14 Mn |
| Sep 30, 2025 | 527.29 Mn |
| Jun 30, 2025 | 224.23 Mn |
| Mar 31, 2025 | 195.87 Mn |
| Dec 31, 2024 | 259.92 Mn |
| Sep 30, 2024 | 540.58 Mn |
| Jun 30, 2024 | 95.90 Mn |
| Mar 31, 2024 | 347.62 Mn |
| Dec 31, 2023 | 440.75 Mn |
| Sep 30, 2023 | 548.65 Mn |
| Jun 30, 2023 | 5.46 Mn |
| Mar 31, 2023 | 3.29 Mn |
| Sep 30, 2022 | 6.87 Mn |
| Jun 30, 2022 | 21.04 Mn |
| Mar 31, 2022 | 46.97 Mn |
| Dec 31, 2021 | 69.57 Mn |
| Sep 30, 2021 | 76.75 Mn |
United Microelectronics Notes Payables 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=notes-payables&ticker=UMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=UMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();