Deckers Outdoor (DECK) Return on Capital Employed [ROCE] (2009 - 2026)
Deckers Outdoor's Return on Capital Employed [ROCE] was 46.33% in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 2.96 percentage points from 43.37% a year earlier and up 0.18 percentage points from the prior quarter.
Deckers Outdoor (DECK) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Return on Capital Employed [ROCE] at Deckers Outdoor came in at 44.71%, down 0.94 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of +11.05 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 45.65% in FY2025 (+2.02 pp), 43.63% in FY2024 (+10.10 pp), 33.53% in FY2023 (+0.47 pp) and 33.06% in FY2022 (-0.60 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q2 2015.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for 13 straight quarters, with an average year-over-year change of +1.92 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q1 2025 (a gain of 8.94 percentage points); the worst was fiscal Q2 2023 (a drop of 2.64 percentage points).
- Per Business Quant data, DECK's Return on Capital Employed [ROCE] in the three fiscal quarters before Q2 2027 was 46.16% (Q1 2027), 40.86% (Q4 2026) and 45.82% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 45.24% |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 23.86% |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 46.33% |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 15.75% |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 9.70% |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 25.66% |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 11.39% |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | 7.77% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.33% |
| Jun 30, 2026 | 46.16% |
| Mar 31, 2026 | 40.86% |
| Dec 31, 2025 | 45.82% |
| Sep 30, 2025 | 43.37% |
| Jun 30, 2025 | 45.59% |
| Mar 31, 2025 | 39.34% |
| Dec 31, 2024 | 43.40% |
| Sep 30, 2024 | 43.21% |
| Jun 30, 2024 | 42.87% |
| Mar 31, 2024 | 36.78% |
| Dec 31, 2023 | 40.97% |
| Sep 30, 2023 | 36.57% |
| Jun 30, 2023 | 33.93% |
| Mar 31, 2023 | 29.87% |
| Dec 31, 2022 | 34.47% |
| Sep 30, 2022 | 31.73% |
| Jun 30, 2022 | 34.46% |
| Mar 31, 2022 | 29.75% |
| Dec 31, 2021 | 30.73% |
Deckers Outdoor 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=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DECK", "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=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();