United Microelectronics (UMC) EV to EBITDA (2010 - 2026)
United Microelectronics' EV to EBITDA was 15.19 in the quarter ended Sep 30, 2026, up 206.7% from 4.95 a year earlier but down 17.0% from the prior quarter.
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Analysis
United Microelectronics (UMC) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, United Microelectronics' EV to EBITDA was 12.23 through Sep 30, 2026, up 729.4% year-over-year; for the year ended Dec 31, 2025, it came in at 5.04, up 16.6% from the prior year.
- In earlier years, EV to EBITDA was 4.32 in the year ended Dec 31, 2024 (-20.6%), 5.44 in the year ended Dec 31, 2023 (+143.9%), 2.23 in the year ended Dec 31, 2022 (-68.7%) and 7.12 in the year ended Dec 31, 2021 (-1.7%).
- Quarterly EV to EBITDA has moved between 1.67 (the quarter ended Sep 30, 2022) and 18.30 (the quarter ended Jun 30, 2026) over five years.
- Compared with a year earlier, EV to EBITDA has increased for four straight quarters, with growth averaging 55.4% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was the quarter ended Jun 30, 2026 (growth of 271.9%); the worst was the quarter ended Sep 30, 2022 (a decline of 79.2%).
- Per Business Quant data, UMC's EV to EBITDA in the three quarters before the quarter ended Sep 30, 2026 was 18.30 (quarter ended Jun 30, 2026), 5.66 (quarter ended Mar 31, 2026) and 4.98 (quarter ended Dec 31, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.19 |
| 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 | 2.15 |
| Sep 30, 2022 | 1.67 |
| Jun 30, 2022 | 2.38 |
| Mar 31, 2022 | 4.19 |
| Dec 31, 2021 | 7.02 |
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();