Crocs (CROX) Change in Other Operating Assets (2010 - 2026)
Crocs (CROX) recorded Change in Other Operating Assets of $9.29 million in Q3 2026, up 78.2% from $5.21 million a year earlier and up 783.7% from the prior quarter.
Crocs (CROX) Change in Other Operating Assets (2010 - 2026) Analysis & Trends
On a TTM basis, Crocs' Change in Other Operating Assets came in at $35.53 million as of Sep 30, 2026, up 62.2% year-over-year; for FY2025, it came in at $22.32 million, up 60.6% from FY2024.
- Across earlier years, Change in Other Operating Assets came in at $13.89 million in FY2024 (-56.4%), $31.84 million in FY2023 (+120.6%), $14.44 million in FY2022 (+132.4%) and $6.21 million in FY2021.
- Quarterly Change in Other Operating Assets has ranged from -$10.09 million in Q2 2024 to $35.86 million in Q1 2023 over the past five years.
- On a year-over-year basis, Change in Other Operating Assets rose in three of the last five quarters, with growth averaging 48.4%.
- Peak year-over-year performance for Change in Other Operating Assets in the last five years was growth of 303.2% in Q4 2024, against a decline of 93.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.05 million (Q2 2026), $20.25 million (Q1 2026) and $4.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 10.00 Mn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 162.40 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | -15.40 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | -3.00 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 36.73 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | - |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 9.29 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | - |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.29 Mn |
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 20.25 Mn |
| Dec 31, 2025 | 4.95 Mn |
| Sep 30, 2025 | 5.21 Mn |
| Jun 30, 2025 | 15.68 Mn |
| Mar 31, 2025 | -3.52 Mn |
| Dec 31, 2024 | 4.54 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | -10.09 Mn |
| Mar 31, 2024 | 7.84 Mn |
| Dec 31, 2023 | 1.13 Mn |
| Sep 30, 2023 | -1.70 Mn |
| Jun 30, 2023 | -3.45 Mn |
| Mar 31, 2023 | 35.86 Mn |
| Dec 31, 2022 | -6.09 Mn |
| Sep 30, 2022 | 11.22 Mn |
| Jun 30, 2022 | -5.28 Mn |
| Mar 31, 2022 | 14.58 Mn |
| Dec 31, 2021 | -3.72 Mn |
Crocs Change in Other Operating Assets 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-other-operating-assets&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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-other-operating-assets&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();