Deckers Outdoor (DECK) EBT (2009 - 2025)
Deckers Outdoor (DECK) reported EBT of $626.91 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 7.4% from $583.94 million a year earlier and up 83.1% from the prior quarter.
Deckers Outdoor (DECK) EBT (2009 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Deckers Outdoor's EBT came in at $1.34 billion, up 10.5% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $1.24 billion, up 27.0% from FY2024.
- EBT has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- By fiscal year, EBT came in at $978.94 million in FY2024 (+47.0%), $666.08 million in FY2023 (+18.0%), $564.64 million in FY2022 (+12.6%) and $501.51 million in FY2021 (+47.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBT in data going back to fiscal Q2 2015.
- Year over year, EBT has now increased in each of the last 14 quarters, with growth averaging 29.2% over the last eight quarters.
- The high point for year-over-year EBT in five years was fiscal Q4 2021 (growth of 218.8%); the low point was fiscal Q3 2022 (a decline of 10.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $342.36 million (Q2 2026), $183.07 million (Q1 2026) and $191.29 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.33 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 106.61 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 186.03 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 263.92 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -106.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 626.91 Mn |
| Sep 30, 2025 | 342.36 Mn |
| Jun 30, 2025 | 183.07 Mn |
| Mar 31, 2025 | 191.29 Mn |
| Dec 31, 2024 | 583.94 Mn |
| Sep 30, 2024 | 318.91 Mn |
| Jun 30, 2024 | 149.15 Mn |
| Mar 31, 2024 | 164.21 Mn |
| Dec 31, 2023 | 499.05 Mn |
| Sep 30, 2023 | 234.32 Mn |
| Jun 30, 2023 | 81.36 Mn |
| Mar 31, 2023 | 114.86 Mn |
| Dec 31, 2022 | 365.30 Mn |
| Sep 30, 2022 | 128.92 Mn |
| Jun 30, 2022 | 57.00 Mn |
| Mar 31, 2022 | 82.35 Mn |
| Dec 31, 2021 | 292.96 Mn |
| Sep 30, 2021 | 127.68 Mn |
| Jun 30, 2021 | 61.65 Mn |
| Mar 31, 2021 | 53.07 Mn |
Deckers Outdoor EBT 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=ebt&ticker=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();