Rocky Brands (RCKY) Return on Capital Employed [ROCE] (2011 - 2026)
Rocky Brands (RCKY) posted Return on Capital Employed [ROCE] of 11.46% for Q2 2026, up 2.27 percentage points from 9.19% a year earlier and up 3.12 percentage points from the prior quarter.
Rocky Brands (RCKY) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Rocky Brands' Return on Capital Employed [ROCE] came in at 10.02%, up 1.80 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -5.29 percentage points (FY2020 to FY2025).
- In prior years, Rocky Brands' Return on Capital Employed [ROCE] was 8.22% in FY2024 (+0.52 pp), 7.70% in FY2023 (-0.98 pp), 8.68% in FY2022 (-3.86 pp) and 12.55% in FY2021 (-2.76 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +0.28 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2024, with a gain of 3.83 percentage points; the weakest was Q4 2021, with a drop of 6.77 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 8.33% (Q1 2026), 9.54% (Q4 2025) and 9.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | 11.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.46% |
| Mar 31, 2026 | 8.33% |
| Dec 31, 2025 | 9.54% |
| Sep 30, 2025 | 9.54% |
| Jun 30, 2025 | 9.19% |
| Mar 31, 2025 | 8.72% |
| Dec 31, 2024 | 8.27% |
| Sep 30, 2024 | 9.84% |
| Jun 30, 2024 | 10.91% |
| Mar 31, 2024 | 9.84% |
| Dec 31, 2023 | 8.14% |
| Sep 30, 2023 | 7.72% |
| Jun 30, 2023 | 7.08% |
| Mar 31, 2023 | 7.45% |
| Dec 31, 2022 | 8.54% |
| Sep 30, 2022 | 9.29% |
| Jun 30, 2022 | 7.76% |
| Mar 31, 2022 | 9.30% |
| Dec 31, 2021 | 8.07% |
| Sep 30, 2021 | 7.72% |
Rocky Brands 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=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "RCKY", "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=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();