Deckers Outdoor (DECK) Gross Margin (2009 - 2026)
Deckers Outdoor's Gross Margin came in at 60.46% for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 4.28 percentage points from 56.18% a year earlier and up 4.04 percentage points from the prior quarter.
Deckers Outdoor (DECK) Gross Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Deckers Outdoor reported Gross Margin of 58.93%, up 1.26 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 57.70%, down 0.18 percentage points from FY2025.
- Gross Margin carries a five-year change of +3.73 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Gross Margin was 57.88% in FY2025 (+2.25 pp), 55.63% in FY2024 (+5.31 pp), 50.32% in FY2023 (-0.70 pp) and 51.03% in FY2022 (-2.95 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Gross Margin in data going back to fiscal Q2 2015.
- Year-over-year, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +0.81 percentage points over the last eight quarters.
- 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 56.41% (Q1 2027), 57.59% (Q4 2026) and 59.84% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 74.22% |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 60.52% |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 60.46% |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 55.38% |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 66.16% |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 59.05% |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 42.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.46% |
| Jun 30, 2026 | 56.41% |
| Mar 31, 2026 | 57.59% |
| 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% |
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_KEY
import 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();