Deckers Outdoor (DECK) EBITDA Margin (2009 - 2026)
Deckers Outdoor's EBITDA Margin was 27.59% in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 3.35 percentage points from 24.24% a year earlier and up 10.57 percentage points from the prior quarter.
Deckers Outdoor (DECK) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Deckers Outdoor's EBITDA Margin was 24.94% through Sep 30, 2026, down 0.04 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 24.50%, down 0.59 percentage points from FY2025.
- EBITDA Margin shows a five-year change of +3.08 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was 25.09% in FY2025 (+2.07 pp), 23.02% in FY2024 (+3.65 pp), 19.37% in FY2023 (+0.04 pp) and 19.34% in FY2022 (-2.09 pp).
- Quarterly EBITDA Margin has moved between 11.14% (fiscal Q1 2023) and 32.33% (fiscal Q3 2026) over five years.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.09 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2025 (a gain of 5.84 percentage points); the worst was fiscal Q3 2022 (a drop of 5.86 percentage points).
- Per Business Quant data, DECK's EBITDA Margin in the three fiscal quarters before Q2 2027 was 17.02% (Q1 2027), 15.72% (Q4 2026) and 32.33% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 9.64% |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 19.34% |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 24.67% |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 27.59% |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 17.21% |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 15.82% |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 29.98% |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 39.01% |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 27.96% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.59% |
| Jun 30, 2026 | 17.02% |
| Mar 31, 2026 | 15.72% |
| Dec 31, 2025 | 32.33% |
| Sep 30, 2025 | 24.24% |
| Jun 30, 2025 | 19.21% |
| Mar 31, 2025 | 18.88% |
| Dec 31, 2024 | 32.03% |
| Sep 30, 2024 | 24.59% |
| Jun 30, 2024 | 18.21% |
| Mar 31, 2024 | 16.81% |
| Dec 31, 2023 | 32.31% |
| Sep 30, 2023 | 21.79% |
| Jun 30, 2023 | 12.38% |
| Mar 31, 2023 | 15.07% |
| Dec 31, 2022 | 27.89% |
| Sep 30, 2022 | 15.96% |
| Jun 30, 2022 | 11.14% |
| Mar 31, 2022 | 12.69% |
| Dec 31, 2021 | 25.68% |
Deckers Outdoor EBITDA 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=ebitda-margin&ticker=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();