Ufp Technologies (UFPT) Return on Capital Employed [ROCE] (2011 - 2026)
Ufp Technologies (UFPT) posted Return on Capital Employed [ROCE] of 16.06% for Q2 2026, down 0.53 percentage points from 16.59% a year earlier but up 0.31 percentage points from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Ufp Technologies' Return on Capital Employed [ROCE] came in at 16.28%, down 2.09 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +7.03 percentage points (FY2020 to FY2025).
- In prior years, Ufp Technologies' Return on Capital Employed [ROCE] was 18.37% in FY2024 (+1.06 pp), 17.32% in FY2023 (-1.14 pp), 18.45% in FY2022 (+9.22 pp) and 9.23% in FY2021 (-0.02 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 7.19% in Q1 2022 to a high of 19.54% in Q2 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -0.36 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2023, with a gain of 11.43 percentage points; the weakest was Q2 2024, with a drop of 2.57 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 15.75% (Q1 2026), 15.95% (Q4 2025) and 16.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Ufp Technologies | 2.33 Bn | 2.26 Bn | 50.92 Mn | 16.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06% |
| Mar 31, 2026 | 15.75% |
| Dec 31, 2025 | 15.95% |
| Sep 30, 2025 | 16.58% |
| Jun 30, 2025 | 16.59% |
| Mar 31, 2025 | 15.85% |
| Dec 31, 2024 | 14.51% |
| Sep 30, 2024 | 15.79% |
| Jun 30, 2024 | 16.97% |
| Mar 31, 2024 | 17.19% |
| Dec 31, 2023 | 16.77% |
| Sep 30, 2023 | 16.30% |
| Jun 30, 2023 | 19.54% |
| Mar 31, 2023 | 18.62% |
| Dec 31, 2022 | 16.93% |
| Sep 30, 2022 | 14.71% |
| Jun 30, 2022 | 8.68% |
| Mar 31, 2022 | 7.19% |
| Dec 31, 2021 | 8.89% |
| Sep 30, 2021 | 10.75% |
API Access
Ufp Technologies 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=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "UFPT", "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=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();