Ultra Clean Holdings (UCTT) Exchange Rate Effect (2015 - 2026)
Ultra Clean Holdings (UCTT) posted Exchange Rate Effect of -$1.2 million for Q2 2026, compared with $3.9 million a year earlier.
Ultra Clean Holdings (UCTT) Exchange Rate Effect (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, Exchange Rate Effect at Ultra Clean Holdings was -$7.8 million; for FY2025, it came in at $500,000.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -18.6% (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Exchange Rate Effect was -$4.4 million in FY2024, $1.9 million in FY2023, -$2.7 million in FY2022 and -$1.4 million in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$5.1 million in Q4 2024 to a high of $4.9 million in Q4 2022 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$3.1 million (Q1 2026), -$1.5 million (Q4 2025) and -$2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | -231.60 Mn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 3.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | - |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | -2.06 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | - |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | -1.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | -1.20 Mn |
| Mar 27, 2026 | -3.10 Mn |
| Dec 26, 2025 | -1.50 Mn |
| Sep 26, 2025 | -2.00 Mn |
| Jun 27, 2025 | 3.90 Mn |
| Mar 28, 2025 | 100,000.00 |
| Dec 27, 2024 | -5.10 Mn |
| Sep 27, 2024 | 2.80 Mn |
| Jun 28, 2024 | -700,000.00 |
| Mar 29, 2024 | -1.40 Mn |
| Dec 29, 2023 | 1.40 Mn |
| Sep 29, 2023 | -500,000.00 |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | -1.20 Mn |
| Dec 30, 2022 | 4.90 Mn |
| Sep 30, 2022 | -3.80 Mn |
| Jul 1, 2022 | -2.70 Mn |
| Apr 1, 2022 | -1.10 Mn |
| Dec 31, 2021 | -500,000.00 |
| Sep 24, 2021 | -600,000.00 |
Ultra Clean Holdings 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=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "UCTT", "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=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();