Crocs (CROX) Cash from Operations (2010 - 2026)
Crocs (CROX) posted Cash from Operations of $351.7 million for Q2 2026, up 23.1% from $285.8 million a year earlier.
Crocs (CROX) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Crocs was $762.63 million, down 8.9% year-over-year; for FY2025, it came in at $710.43 million, down 28.4% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, Crocs' Cash from Operations was $992.49 million in FY2024 (+6.7%), $930.44 million in FY2023 (+54.3%), $603.14 million in FY2022 (+6.3%) and $567.17 million in FY2021 (+112.5%).
- The Q2 2026 figure stands as the highest quarterly Cash from Operations since Q2 2024.
- On a year-over-year basis, Cash from Operations increased in two of the last six quarters, with an average decline of 6.0%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2023, with growth of 108.9%; the weakest was Q2 2025, with a decline of 28.8%.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$80.93 million (Q1 2026), $252.53 million (Q4 2025) and $239.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 351.70 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -62.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.70 Mn |
| Mar 31, 2026 | -80.93 Mn |
| Dec 31, 2025 | 252.53 Mn |
| Sep 30, 2025 | 239.34 Mn |
| Jun 30, 2025 | 285.80 Mn |
| Mar 31, 2025 | -67.24 Mn |
| Dec 31, 2024 | 321.94 Mn |
| Sep 30, 2024 | 296.89 Mn |
| Jun 30, 2024 | 401.24 Mn |
| Mar 31, 2024 | -27.57 Mn |
| Dec 31, 2023 | 349.72 Mn |
| Sep 30, 2023 | 250.11 Mn |
| Jun 30, 2023 | 320.68 Mn |
| Mar 31, 2023 | 9.93 Mn |
| Dec 31, 2022 | 356.46 Mn |
| Sep 30, 2022 | 161.94 Mn |
| Jun 30, 2022 | 153.51 Mn |
| Mar 31, 2022 | -68.77 Mn |
| Dec 31, 2021 | 212.00 Mn |
| Sep 30, 2021 | 112.80 Mn |
Crocs Cash from Operations 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-from-operations&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();