Deckers Outdoor (DECK) Operating Leases (2019 - 2026)
Deckers Outdoor (DECK) posted Operating Leases of $459.3 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 67.2% from $274.76 million a year earlier and up 15.1% from the prior quarter.
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Analysis
Deckers Outdoor (DECK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Deckers Outdoor's Operating Leases came in at $291.26 million, up 30.9% from FY2025.
- 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 Q2 2027 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 seven quarters, with growth averaging 28.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2027, with growth of 67.2%; 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 $398.98 million (Q1 2027), $291.26 million (Q4 2026) and $266.11 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn |
| 10 | Gildan Activewear | 5.48 Bn | 4.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 459.30 Mn |
| Jun 30, 2026 | 398.98 Mn |
| 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 |
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();