Crocs (CROX) Total Non-Current Liabilities (2010 - 2026)
Crocs' Total Non-Current Liabilities came in at $2.33 billion for Q2 2026, down 3.3% from $2.41 billion a year earlier but up 2.5% from the prior quarter.
Crocs (CROX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Crocs' Total Non-Current Liabilities was $2.23 billion, down 6.2% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 29.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.38 billion in FY2024 (-9.3%), $2.62 billion in FY2023 (-24.1%), $3.46 billion in FY2022 (+163.8%) and $1.31 billion in FY2021 (+110.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $1.2 billion (Q3 2021) to $3.9 billion (Q1 2022).
- Year-over-year, Total Non-Current Liabilities has declined for 14 consecutive quarters, with an average decline of 8.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 365.2%), and the weakest in Q4 2023 (a decline of 24.1%).
- Business Quant data shows CROX's Total Non-Current Liabilities at $2.28 billion (Q1 2026), $2.23 billion (Q4 2025) and $2.32 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.33 Bn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 7.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Bn |
| Mar 31, 2026 | 2.28 Bn |
| Dec 31, 2025 | 2.23 Bn |
| Sep 30, 2025 | 2.32 Bn |
| Jun 30, 2025 | 2.41 Bn |
| Mar 31, 2025 | 2.50 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.42 Bn |
| Jun 30, 2024 | 2.51 Bn |
| Mar 31, 2024 | 2.64 Bn |
| Dec 31, 2023 | 2.62 Bn |
| Sep 30, 2023 | 3.16 Bn |
| Jun 30, 2023 | 3.18 Bn |
| Mar 31, 2023 | 3.40 Bn |
| Dec 31, 2022 | 3.46 Bn |
| Sep 30, 2022 | 3.71 Bn |
| Jun 30, 2022 | 3.88 Bn |
| Mar 31, 2022 | 3.90 Bn |
| Dec 31, 2021 | 1.31 Bn |
| Sep 30, 2021 | 1.20 Bn |
Crocs 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=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CROX", "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=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();