Crocs (CROX) Total Liabilities (2010 - 2026)
Crocs (CROX) posted Total Liabilities of $2.97 billion for Q2 2026, down 1.9% from $3.03 billion a year earlier but up 1.9% from the prior quarter.
Analysis
Crocs (CROX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Crocs' Total Liabilities came in at $2.88 billion, down 3.2% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 28.3% (FY2020 to FY2025).
- In prior years, Crocs' Total Liabilities was $2.98 billion in FY2024 (-6.7%), $3.19 billion in FY2023 (-13.4%), $3.68 billion in FY2022 (+140.6%) and $1.53 billion in FY2021 (+84.9%).
- Quarterly Total Liabilities has run from a low of $1.39 billion in Q3 2021 to a high of $4.12 billion in Q1 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 14 quarters, with an average decline of 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 297.8%; the weakest was Q2 2023, with a decline of 16.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.92 billion (Q1 2026), $2.88 billion (Q4 2025) and $2.94 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 Bn |
| Mar 31, 2026 | 2.92 Bn |
| Dec 31, 2025 | 2.88 Bn |
| Sep 30, 2025 | 2.94 Bn |
| Jun 30, 2025 | 3.03 Bn |
| Mar 31, 2025 | 3.10 Bn |
| Dec 31, 2024 | 2.98 Bn |
| Sep 30, 2024 | 2.99 Bn |
| Jun 30, 2024 | 3.07 Bn |
| Mar 31, 2024 | 3.20 Bn |
| Dec 31, 2023 | 3.19 Bn |
| Sep 30, 2023 | 3.38 Bn |
| Jun 30, 2023 | 3.41 Bn |
| Mar 31, 2023 | 3.63 Bn |
| Dec 31, 2022 | 3.68 Bn |
| Sep 30, 2022 | 3.91 Bn |
| Jun 30, 2022 | 4.09 Bn |
| Mar 31, 2022 | 4.12 Bn |
| Dec 31, 2021 | 1.53 Bn |
| Sep 30, 2021 | 1.39 Bn |
API Access
Crocs 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=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();