Deckers Outdoor (DECK) Operating Leases (2019 - 2026)
Deckers Outdoor (DECK) posted Operating Leases of $291.26 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 30.9% from $222.52 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Deckers Outdoor (DECK) Operating Leases (2019 - 2026) Analysis & Trends
Since fiscal Q1 2020, Deckers Outdoor has reported Operating Leases for 28 quarters.
- Annual Operating Leases has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- In prior fiscal years, Deckers Outdoor's Operating Leases was $222.52 million in FY2025 (+4.3%), $213.3 million in FY2024 (+9.0%), $195.72 million in FY2023 (+13.8%) and $171.97 million in FY2022 (-2.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased in each of the last five quarters, with growth averaging 13.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q3 2024, with growth of 47.5%; the weakest was fiscal Q2 2023, with a decline of 17.5%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $266.11 million (Q3 2026), $274.76 million (Q2 2026) and $246.82 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 291.26 Mn |
| Dec 31, 2025 | 266.11 Mn |
| Sep 30, 2025 | 274.76 Mn |
| Jun 30, 2025 | 246.82 Mn |
| Mar 31, 2025 | 222.52 Mn |
| Dec 31, 2024 | 211.02 Mn |
| Sep 30, 2024 | 209.96 Mn |
| Jun 30, 2024 | 216.01 Mn |
| Mar 31, 2024 | 213.30 Mn |
| Dec 31, 2023 | 222.87 Mn |
| Sep 30, 2023 | 201.57 Mn |
| Jun 30, 2023 | 209.37 Mn |
| Mar 31, 2023 | 195.72 Mn |
| Dec 31, 2022 | 151.11 Mn |
| Sep 30, 2022 | 150.26 Mn |
| Jun 30, 2022 | 159.31 Mn |
| Mar 31, 2022 | 171.97 Mn |
| Dec 31, 2021 | 171.31 Mn |
| Sep 30, 2021 | 182.09 Mn |
| Jun 30, 2021 | 185.78 Mn |
API Access
Deckers Outdoor Operating Leases 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=operating-leases&ticker=DECK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();