Deckers Outdoor (DECK) EBITDA (2009 - 2025)
Deckers Outdoor (DECK) posted EBITDA of $632.9 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 8.1% from $585.21 million a year earlier and up 82.5% from the prior quarter.
Deckers Outdoor (DECK) EBITDA (2009 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, EBITDA at Deckers Outdoor was $1.36 billion, up 11.4% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $1.25 billion, up 26.7% from FY2024.
- Annual EBITDA has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In prior fiscal years, Deckers Outdoor's EBITDA was $987.18 million in FY2024 (+40.5%), $702.76 million in FY2023 (+15.4%), $609.14 million in FY2022 (+11.7%) and $545.47 million in FY2021 (+44.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q2 2015.
- On a year-over-year basis, EBITDA has increased in each of the last 14 quarters, with growth averaging 28.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2021, with growth of 148.2%; the weakest was fiscal Q3 2022, with a decline of 10.3%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $346.83 million (Q2 2026), $185.27 million (Q1 2026) and $192.89 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -25.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 632.90 Mn |
| Sep 30, 2025 | 346.83 Mn |
| Jun 30, 2025 | 185.27 Mn |
| Mar 31, 2025 | 192.89 Mn |
| Dec 31, 2024 | 585.21 Mn |
| Sep 30, 2024 | 322.39 Mn |
| Jun 30, 2024 | 150.33 Mn |
| Mar 31, 2024 | 161.37 Mn |
| Dec 31, 2023 | 504.18 Mn |
| Sep 30, 2023 | 237.98 Mn |
| Jun 30, 2023 | 83.65 Mn |
| Mar 31, 2023 | 119.27 Mn |
| Dec 31, 2022 | 375.30 Mn |
| Sep 30, 2022 | 139.77 Mn |
| Jun 30, 2022 | 68.43 Mn |
| Mar 31, 2022 | 93.37 Mn |
| Dec 31, 2021 | 305.05 Mn |
| Sep 30, 2021 | 138.53 Mn |
| Jun 30, 2021 | 72.18 Mn |
| Mar 31, 2021 | 64.86 Mn |
Deckers Outdoor EBITDA 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&ticker=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();