Crocs (CROX) Operating Expenses (2010 - 2026)
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Analysis
Crocs (CROX) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 1.26 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 1.01 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 505.66 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 2.33 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 397.81 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 271.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 397.81 Mn |
| Jun 30, 2026 | 415.03 Mn |
| Mar 31, 2026 | 322.10 Mn |
| Dec 31, 2025 | 377.27 Mn |
| Sep 30, 2025 | 375.35 Mn |
| Jun 30, 2025 | 398.24 Mn |
| Mar 31, 2025 | 318.58 Mn |
| Dec 31, 2024 | 373.01 Mn |
| Sep 30, 2024 | 363.51 Mn |
| Jun 30, 2024 | 356.18 Mn |
| Mar 31, 2024 | 295.65 Mn |
| Dec 31, 2023 | 311.90 Mn |
| Sep 30, 2023 | 307.78 Mn |
| Jun 30, 2023 | 302.82 Mn |
| Mar 31, 2023 | 241.44 Mn |
| Dec 31, 2022 | 276.27 Mn |
| Sep 30, 2022 | 277.24 Mn |
| Jun 30, 2022 | 249.77 Mn |
| Mar 31, 2022 | 206.25 Mn |
| Dec 31, 2021 | 212.04 Mn |
API Access
Crocs Operating 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=operating-expenses&ticker=CROX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();