United Microelectronics (UMC) EV to EBITDA (2009 - 2026)
United Microelectronics' EV to EBITDA was 10.30 in the year ended Dec 31, 2025, up 42.4% from 7.24 a year earlier.
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Analysis
United Microelectronics (UMC) EV to EBITDA (2009 - 2026) Analysis & Trends
From the year ended Dec 31, 2009 onward, United Microelectronics has reported EV to EBITDA for 17 years.
- The figure for the year ended Dec 31, 2025 marks the highest annual EV to EBITDA since the year ended Dec 31, 2021.
- Per Business Quant data, EV to EBITDA in earlier years was 7.24 in the year ended Dec 31, 2024 (-14.8%), 8.49 in the year ended Dec 31, 2023 (+175.6%), 3.08 in the year ended Dec 31, 2022 (-75.5%) and 12.56 in the year ended Dec 31, 2021 (-42.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn |
| 10 | United Microelectronics | 45.98 Bn | 31.23 Bn | 706.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.30 |
| Mar 31, 2026 | 5.66 |
| Dec 31, 2025 | 4.98 |
| Sep 30, 2025 | 4.95 |
| Jun 30, 2025 | 4.92 |
| Mar 31, 2025 | 4.80 |
| Dec 31, 2024 | 4.27 |
| Sep 30, 2024 | 5.94 |
| Jun 30, 2024 | 6.14 |
| Mar 31, 2024 | 5.46 |
| Dec 31, 2023 | 5.43 |
| Sep 30, 2023 | 3.82 |
| Jun 30, 2023 | 3.59 |
| Mar 31, 2023 | 3.58 |
| Dec 31, 2022 | 2.16 |
| Sep 30, 2022 | 1.67 |
| Jun 30, 2022 | 2.38 |
| Mar 31, 2022 | 4.19 |
| Dec 31, 2021 | 7.01 |
| Sep 30, 2021 | 8.04 |
API Access
United Microelectronics EV to EBITDA 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=ev-to-ebitda&ticker=UMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=UMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();