Deckers Outdoor (DECK) Gross Margin (2009 - 2025)
Deckers Outdoor's Gross Margin came in at 59.84% for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 0.51 percentage points from 60.35% a year earlier but up 3.66 percentage points from the prior quarter.
Deckers Outdoor (DECK) Gross Margin (2009 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Deckers Outdoor reported Gross Margin of 57.54%, down 0.25 percentage points year-over-year; for FY2025 (ended Mar 31, 2025), it came in at 57.88%, up 2.25 percentage points from FY2024.
- Gross Margin carries a five-year change of +6.13 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Gross Margin was 55.63% in FY2024 (+5.31 pp), 50.32% in FY2023 (-0.70 pp), 51.03% in FY2022 (-2.95 pp) and 53.98% in FY2021 (+2.23 pp).
- The five-year range for quarterly Gross Margin is 47.97% (fiscal Q1 2023) to 60.35% (fiscal Q3 2025).
- Year-over-year, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +1.88 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in fiscal Q4 2024 (a gain of 6.16 percentage points), and the weakest in fiscal Q3 2022 (a drop of 4.66 percentage points).
- Business Quant data shows DECK's Gross Margin at 56.18% (Q2 2026), 55.77% (Q1 2026) and 56.74% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.41% |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 54.93% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 59.84% |
| Sep 30, 2025 | 56.18% |
| Jun 30, 2025 | 55.77% |
| Mar 31, 2025 | 56.74% |
| Dec 31, 2024 | 60.35% |
| Sep 30, 2024 | 55.92% |
| Jun 30, 2024 | 56.95% |
| Mar 31, 2024 | 56.21% |
| Dec 31, 2023 | 58.74% |
| Sep 30, 2023 | 53.39% |
| Jun 30, 2023 | 51.26% |
| Mar 31, 2023 | 50.05% |
| Dec 31, 2022 | 52.95% |
| Sep 30, 2022 | 48.19% |
| Jun 30, 2022 | 47.97% |
| Mar 31, 2022 | 48.74% |
| Dec 31, 2021 | 52.30% |
| Sep 30, 2021 | 50.85% |
| Jun 30, 2021 | 51.62% |
| Mar 31, 2021 | 53.22% |
Deckers Outdoor Gross Margin 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=gross-margin&ticker=DECK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();