Deckers Outdoor (DECK) Return on Sales [ROS] (2009 - 2025)
Deckers Outdoor (DECK) reported Return on Sales [ROS] of 31.38% for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 0.34 percentage points from 31.05% a year earlier and up 8.56 percentage points from the prior quarter.
Deckers Outdoor (DECK) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Deckers Outdoor's Return on Sales [ROS] came in at 23.82%, up 0.47 percentage points year-over-year; for FY2025 (ended Mar 31, 2025), it was 23.65%, up 2.02 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive fiscal years, with a five-year change of +7.80 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 21.63% in FY2024 (+3.64 pp), 18.00% in FY2023 (+0.07 pp), 17.93% in FY2022 (-1.88 pp) and 19.81% in FY2021 (+3.95 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2015.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +1.58 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2022 (a gain of 14.97 percentage points); the low point was fiscal Q3 2022 (a drop of 5.79 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 22.82% (Q2 2026), 17.14% (Q1 2026) and 17.02% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -4.98% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 31.38% |
| Sep 30, 2025 | 22.82% |
| Jun 30, 2025 | 17.14% |
| Mar 31, 2025 | 17.02% |
| Dec 31, 2024 | 31.05% |
| Sep 30, 2024 | 23.27% |
| Jun 30, 2024 | 16.09% |
| Mar 31, 2024 | 15.03% |
| Dec 31, 2023 | 31.27% |
| Sep 30, 2023 | 20.57% |
| Jun 30, 2023 | 10.47% |
| Mar 31, 2023 | 13.38% |
| Dec 31, 2022 | 26.95% |
| Sep 30, 2022 | 14.60% |
| Jun 30, 2022 | 9.17% |
| Mar 31, 2022 | 11.05% |
| Dec 31, 2021 | 24.70% |
| Sep 30, 2021 | 17.76% |
| Jun 30, 2021 | 12.25% |
| Mar 31, 2021 | 9.74% |
Deckers Outdoor Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DECK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();