Deckers Outdoor (DECK) EBITDA (2009 - 2026)
Deckers Outdoor (DECK) posted EBITDA of $408.5 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 17.8% from $346.83 million a year earlier and up 135.3% from the prior quarter.
Deckers Outdoor (DECK) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Deckers Outdoor was $1.39 billion, up 6.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.34 billion, up 7.2% from FY2025.
- Annual EBITDA has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 19.7% (FY2021 to FY2026).
- In prior fiscal years, Deckers Outdoor's EBITDA was $1.25 billion in FY2025 (+26.7%), $987.18 million in FY2024 (+40.5%), $702.76 million in FY2023 (+15.4%) and $609.14 million in FY2022 (+11.7%).
- Quarterly EBITDA has run from a low of $68.43 million in fiscal Q1 2023 to a high of $632.9 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 9.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2025, with growth of 79.7%; 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 $173.57 million (Q1 2027), $175.92 million (Q4 2026) and $632.9 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | 410.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 408.50 Mn |
| Jun 30, 2026 | 173.57 Mn |
| Mar 31, 2026 | 175.92 Mn |
| 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 |
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();