Crocs (CROX) Total Current Liabilities (2010 - 2026)
Crocs (CROX) posted Total Current Liabilities of $728.03 million for Q2 2026, up 1.8% from $714.85 million a year earlier and up 13.8% from the prior quarter.
Crocs (CROX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Crocs' Total Current Liabilities came in at $700.13 million, down 5.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior years, Crocs' Total Current Liabilities was $740.21 million in FY2024 (+6.0%), $698.3 million in FY2023 (+8.9%), $641.27 million in FY2022 (+65.2%) and $388.24 million in FY2021 (+33.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2022, with growth of 65.2%; the weakest was Q1 2026, with a decline of 9.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $639.52 million (Q1 2026), $700.13 million (Q4 2025) and $691.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 728.03 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 2.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 728.03 Mn |
| Mar 31, 2026 | 639.52 Mn |
| Dec 31, 2025 | 700.13 Mn |
| Sep 30, 2025 | 691.74 Mn |
| Jun 30, 2025 | 714.85 Mn |
| Mar 31, 2025 | 705.20 Mn |
| Dec 31, 2024 | 740.21 Mn |
| Sep 30, 2024 | 692.53 Mn |
| Jun 30, 2024 | 686.42 Mn |
| Mar 31, 2024 | 628.56 Mn |
| Dec 31, 2023 | 698.30 Mn |
| Sep 30, 2023 | 647.88 Mn |
| Jun 30, 2023 | 665.94 Mn |
| Mar 31, 2023 | 634.37 Mn |
| Dec 31, 2022 | 641.27 Mn |
| Sep 30, 2022 | 571.16 Mn |
| Jun 30, 2022 | 602.14 Mn |
| Mar 31, 2022 | 530.79 Mn |
| Dec 31, 2021 | 388.24 Mn |
| Sep 30, 2021 | 350.22 Mn |
Crocs Total 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-current-liabilities&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();