Crocs (CROX) Change in Accured Expenses (2010 - 2026)
Crocs' Change in Accured Expenses was $66.18 million in Q2 2026, up 48.3% from $44.63 million a year earlier.
Crocs (CROX) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Crocs' Change in Accured Expenses was $28.6 million through Jun 30, 2026; for FY2025, it was $524,000, down 94.7% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -52.8% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $9.97 million in FY2024 (-78.6%), $46.7 million in FY2023 (+20.9%), $38.63 million in FY2022 (+0.5%) and $38.45 million in FY2021 (+72.0%).
- Quarterly Change in Accured Expenses has moved between -$71.09 million (Q1 2025) and $68.98 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 23.7%.
- Per Business Quant data, CROX's Change in Accured Expenses in the three quarters before Q2 2026 was -$64.57 million (Q1 2026), $68.98 million (Q4 2025) and -$41.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 53.30 Mn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 99.80 Mn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | - |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | - |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | -99.78 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 40.70 Mn |
| 10 | Crocs | 5.82 Bn | 5.23 Bn | 700.71 Mn | 66.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.18 Mn |
| Mar 31, 2026 | -64.57 Mn |
| Dec 31, 2025 | 68.98 Mn |
| Sep 30, 2025 | -41.99 Mn |
| Jun 30, 2025 | 44.63 Mn |
| Mar 31, 2025 | -71.09 Mn |
| Dec 31, 2024 | 42.82 Mn |
| Sep 30, 2024 | -13.81 Mn |
| Jun 30, 2024 | 43.53 Mn |
| Mar 31, 2024 | -62.56 Mn |
| Dec 31, 2023 | 51.63 Mn |
| Sep 30, 2023 | -32.75 Mn |
| Jun 30, 2023 | 59.64 Mn |
| Mar 31, 2023 | -31.82 Mn |
| Dec 31, 2016 | -1.19 Mn |
| Sep 30, 2016 | -11.50 Mn |
| Jun 30, 2016 | 16.80 Mn |
| Mar 31, 2016 | -1.23 Mn |
| Dec 31, 2015 | 2.25 Mn |
| Sep 30, 2015 | -15.29 Mn |
Crocs Change in Accured Expenses 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=change-in-accured-expenses&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();