United Microelectronics (UMC) Exchange Rate Effect (2009 - 2026)
United Microelectronics (UMC) recorded Exchange Rate Effect of $5.39 million in the quarter ended Jun 30, 2026, compared with -$265.15 million a year earlier and down 87.9% from the prior quarter.
United Microelectronics (UMC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, United Microelectronics' Exchange Rate Effect came in at $198.75 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$58.85 million.
- Across earlier years, Exchange Rate Effect came in at $113.31 million in the year ended Dec 31, 2024, -$12.81 million in the year ended Dec 31, 2023, $228.38 million in the year ended Dec 31, 2022 and -$75.87 million in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has ranged from -$265.15 million in the quarter ended Jun 30, 2025 to $175.97 million in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Exchange Rate Effect rose in 1 of the last four quarters, with growth averaging 10.4%.
- Per Business Quant, the preceding three quarters came in at $44.66 million (quarter ended Mar 31, 2026), $61.78 million (quarter ended Dec 31, 2025) and $86.91 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | -231.60 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 3.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | - |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | -2.06 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | United Microelectronics | 66.14 Bn | 49.96 Bn | 706.26 Mn | 5.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.39 Mn |
| Mar 31, 2026 | 44.66 Mn |
| Dec 31, 2025 | 61.78 Mn |
| Sep 30, 2025 | 86.91 Mn |
| Jun 30, 2025 | -265.15 Mn |
| Mar 31, 2025 | 55.09 Mn |
| Dec 31, 2024 | -3.45 Mn |
| Sep 30, 2024 | 33.27 Mn |
| Jun 30, 2024 | 10.60 Mn |
| Mar 31, 2024 | 76.84 Mn |
| Dec 31, 2023 | -113.22 Mn |
| Sep 30, 2023 | 120.40 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | -23.36 Mn |
| Dec 31, 2022 | -81.62 Mn |
| Sep 30, 2022 | 175.97 Mn |
| Jun 30, 2022 | 54.55 Mn |
| Mar 31, 2022 | 94.38 Mn |
| Dec 31, 2021 | -11.97 Mn |
| Sep 30, 2021 | -3.75 Mn |
United Microelectronics Exchange Rate Effect 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=exchange-rate-effect&ticker=UMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=UMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();