Ultra Clean Holdings (UCTT) Return on Capital Employed [ROCE] (2011 - 2026)
Ultra Clean Holdings (UCTT) posted Return on Capital Employed [ROCE] of 4.27% for Q2 2026, up 9.43 percentage points from -5.16% a year earlier and up 11.86 percentage points from the prior quarter.
Ultra Clean Holdings (UCTT) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Ultra Clean Holdings' Return on Capital Employed [ROCE] came in at -7.05%, down 12.90 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -21.17 percentage points (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Return on Capital Employed [ROCE] was 5.85% in FY2024 (+3.66 pp), 2.19% in FY2023 (-5.70 pp), 7.89% in FY2022 (-10.38 pp) and 18.28% in FY2021 (+4.16 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -3.77 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2026, with a gain of 9.43 percentage points; the weakest was Q4 2025, with a drop of 13.25 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -7.59% (Q1 2026), -7.54% (Q4 2025) and -6.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn | 4.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 4.27% |
| Mar 27, 2026 | -7.59% |
| Dec 26, 2025 | -7.54% |
| Sep 26, 2025 | -6.42% |
| Jun 27, 2025 | -5.16% |
| Mar 28, 2025 | 5.46% |
| Dec 27, 2024 | 5.71% |
| Sep 27, 2024 | 4.43% |
| Jun 28, 2024 | 3.24% |
| Mar 29, 2024 | 2.59% |
| Dec 29, 2023 | 2.28% |
| Sep 29, 2023 | 4.80% |
| Jun 30, 2023 | 6.74% |
| Mar 31, 2023 | 5.44% |
| Dec 30, 2022 | 7.67% |
| Sep 30, 2022 | 9.03% |
| Jul 1, 2022 | 9.70% |
| Apr 1, 2022 | 12.55% |
| Dec 31, 2021 | 13.02% |
| Sep 24, 2021 | 10.58% |
Ultra Clean Holdings Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();