Deckers Outdoor (DECK) Total Liabilities (2009 - 2026)
Deckers Outdoor's Total Liabilities came in at $1.19 billion for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 12.4% from $1.06 billion a year earlier but down 20.4% from the prior quarter.
Deckers Outdoor (DECK) Total Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2014, Deckers Outdoor's Total Liabilities data covers 48 quarters.
- Total Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 10.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.06 billion in FY2025 (+2.8%), $1.03 billion in FY2024 (+30.1%), $790.47 million in FY2023 (-0.4%) and $793.43 million in FY2022 (+9.7%).
- The five-year range for quarterly Total Liabilities is $790.47 million (fiscal Q4 2023) to $1.49 billion (fiscal Q3 2026).
- Year-over-year, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 30.1%), and the weakest in fiscal Q4 2023 (a decline of 0.4%).
- Business Quant data shows DECK's Total Liabilities at $1.49 billion (Q3 2026), $1.32 billion (Q2 2026) and $1.37 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 7.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.32 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.23 Bn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 790.47 Mn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 950.51 Mn |
| Jun 30, 2022 | 1.04 Bn |
| Mar 31, 2022 | 793.43 Mn |
| Dec 31, 2021 | 982.83 Mn |
| Sep 30, 2021 | 946.69 Mn |
| Jun 30, 2021 | 872.27 Mn |
Deckers Outdoor Total Liabilities 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=total-liabilities&ticker=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();