Crocs (CROX) Property, Plant & Equipment (Net) (2010 - 2026)
Crocs (CROX) reported Property, Plant & Equipment (Net) of $246.08 million for Q2 2026, down 1.2% from $249.15 million a year earlier but up 3.9% from the prior quarter.
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Analysis
Crocs (CROX) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Crocs posted Property, Plant & Equipment (Net) of $238.19 million, down 2.5% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $244.34 million in FY2024 (+2.5%), $238.32 million in FY2023 (+31.3%), $181.53 million in FY2022 (+67.5%) and $108.4 million in FY2021 (+88.6%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $91.32 million in Q3 2021 and a high of $249.15 million in Q2 2025.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last four quarters, with growth averaging 0.9% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2022 (growth of 93.4%); the low point was Q1 2026 (a decline of 3.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $236.87 million (Q1 2026), $238.19 million (Q4 2025) and $242.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn | 674.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.08 Mn |
| Mar 31, 2026 | 236.87 Mn |
| Dec 31, 2025 | 238.19 Mn |
| Sep 30, 2025 | 242.14 Mn |
| Jun 30, 2025 | 249.15 Mn |
| Mar 31, 2025 | 245.81 Mn |
| Dec 31, 2024 | 244.34 Mn |
| Sep 30, 2024 | 243.36 Mn |
| Jun 30, 2024 | 244.07 Mn |
| Mar 31, 2024 | 242.86 Mn |
| Dec 31, 2023 | 238.32 Mn |
| Sep 30, 2023 | 223.06 Mn |
| Jun 30, 2023 | 213.84 Mn |
| Mar 31, 2023 | 190.49 Mn |
| Dec 31, 2022 | 181.53 Mn |
| Sep 30, 2022 | 163.37 Mn |
| Jun 30, 2022 | 140.28 Mn |
| Mar 31, 2022 | 135.65 Mn |
| Dec 31, 2021 | 108.40 Mn |
| Sep 30, 2021 | 91.32 Mn |
API Access
Crocs Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CROX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();