Deckers Outdoor (DECK) Total Non-Current Liabilities (2009 - 2026)
Deckers Outdoor (DECK) reported Total Non-Current Liabilities of $558.33 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 59.8% from $349.45 million a year earlier and up 10.9% from the prior quarter.
Deckers Outdoor (DECK) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Deckers Outdoor posted Total Non-Current Liabilities of $384.05 million, up 33.7% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 8.5% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $287.3 million in FY2025 (-6.8%), $308.12 million in FY2024 (+5.1%), $293.09 million in FY2023 (+16.4%) and $251.74 million in FY2022 (-1.3%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2014.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 21.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2027 (growth of 59.8%); the low point was fiscal Q2 2023 (a decline of 15.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $503.31 million (Q1 2027), $384.05 million (Q4 2026) and $343.25 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 4.72 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 3.63 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 558.33 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 7.30 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 2.29 Bn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | 4.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 558.33 Mn |
| Jun 30, 2026 | 503.31 Mn |
| Mar 31, 2026 | 384.05 Mn |
| Dec 31, 2025 | 343.25 Mn |
| Sep 30, 2025 | 349.45 Mn |
| Jun 30, 2025 | 324.80 Mn |
| Mar 31, 2025 | 287.30 Mn |
| Dec 31, 2024 | 300.55 Mn |
| Sep 30, 2024 | 299.26 Mn |
| Jun 30, 2024 | 319.27 Mn |
| Mar 31, 2024 | 308.12 Mn |
| Dec 31, 2023 | 315.83 Mn |
| Sep 30, 2023 | 294.01 Mn |
| Jun 30, 2023 | 309.98 Mn |
| Mar 31, 2023 | 293.09 Mn |
| Dec 31, 2022 | 224.81 Mn |
| Sep 30, 2022 | 221.89 Mn |
| Jun 30, 2022 | 241.09 Mn |
| Mar 31, 2022 | 251.74 Mn |
| Dec 31, 2021 | 254.90 Mn |
Deckers Outdoor Total Non-Current 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-non-current-liabilities&ticker=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();