Crocs (CROX) Asset Writedowns and Impairment (2010 - 2026)
Crocs (CROX) reported Asset Writedowns and Impairment of $3.3 million for Q1 2026.
Analysis
Crocs (CROX) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
For FY2025, Crocs posted Asset Writedowns and Impairment of $738.12 million.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 103.7% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $24.08 million in FY2024 (+159.3%), $9.29 million in FY2023 (+235.3%), $2.77 million in FY2022 (+119.1%) and $1.26 million in FY2021 (-94.0%).
- The Q1 2026 figure ranks as the lowest quarterly Asset Writedowns and Impairment since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.30 Mn |
| Jun 30, 2025 | 738.12 Mn |
| Mar 31, 2024 | 24.08 Mn |
| Dec 31, 2023 | 9.29 Mn |
| Dec 31, 2021 | 111,000.00 |
| Sep 30, 2021 | 512,000.00 |
| Dec 31, 2020 | 12.20 Mn |
| Sep 30, 2020 | 52,000.00 |
| Dec 31, 2019 | 86,000.00 |
| Sep 30, 2019 | 18,000.00 |
| Dec 31, 2016 | 1.45 Mn |
| Sep 30, 2016 | 930,000.00 |
| Jun 30, 2016 | 572,000.00 |
| Mar 31, 2016 | 193,000.00 |
| Dec 31, 2015 | 7.80 Mn |
| Sep 30, 2015 | 5.46 Mn |
| Jun 30, 2015 | 2.08 Mn |
| Dec 31, 2014 | 3.00 Mn |
| Sep 30, 2014 | 2.60 Mn |
| Jun 30, 2014 | 3.23 Mn |
API Access
Crocs Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();