Crocs (CROX) Cash & Equivalents (2010 - 2026)
Crocs' Cash & Equivalents was $170.28 million in Q2 2026, down 15.1% from $200.61 million a year earlier but up 30.1% from the prior quarter.
Analysis
Crocs (CROX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Crocs came in at $130.35 million, down 27.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $180.49 million in FY2024 (+20.9%), $149.29 million in FY2023 (-22.1%), $191.63 million in FY2022 (-10.1%) and $213.2 million in FY2021 (+57.0%).
- Quarterly Cash & Equivalents has moved between $125.69 million (Q1 2023) and $436.6 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 253.3%); the worst was Q3 2022 (a decline of 67.3%).
- Per Business Quant data, CROX's Cash & Equivalents in the three quarters before Q2 2026 was $130.88 million (Q1 2026), $130.35 million (Q4 2025) and $153.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 7.56 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 170.28 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 670.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.28 Mn |
| Mar 31, 2026 | 130.88 Mn |
| Dec 31, 2025 | 130.35 Mn |
| Sep 30, 2025 | 153.97 Mn |
| Jun 30, 2025 | 200.61 Mn |
| Mar 31, 2025 | 166.46 Mn |
| Dec 31, 2024 | 180.49 Mn |
| Sep 30, 2024 | 186.12 Mn |
| Jun 30, 2024 | 167.73 Mn |
| Mar 31, 2024 | 159.29 Mn |
| Dec 31, 2023 | 149.29 Mn |
| Sep 30, 2023 | 127.32 Mn |
| Jun 30, 2023 | 166.24 Mn |
| Mar 31, 2023 | 125.69 Mn |
| Dec 31, 2022 | 191.63 Mn |
| Sep 30, 2022 | 142.97 Mn |
| Jun 30, 2022 | 187.35 Mn |
| Mar 31, 2022 | 171.97 Mn |
| Dec 31, 2021 | 213.20 Mn |
| Sep 30, 2021 | 436.60 Mn |
API Access
Crocs Cash & Equivalents 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=cash-and-equivalents&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();