Webuy Global (WBUY) Property, Plant & Equipment (Net) (2022 - 2026)
Webuy Global (WBUY) recorded Property, Plant & Equipment (Net) of $337,302 in the quarter ended Jun 30, 2026, down 49.5% from $667,376 a year earlier.
Webuy Global (WBUY) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Webuy Global reported Property, Plant & Equipment (Net) of $287,064, down 60.7% from the prior year.
- Annual Property, Plant & Equipment (Net) has a three-year compound annual growth rate of -12.2% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $730,647 in the year ended Dec 31, 2024 (-18.5%), $896,539 in the year ended Dec 31, 2023 (+111.6%) and $423,633 in the year ended Dec 31, 2022.
- Quarterly Property, Plant & Equipment (Net) has ranged from $287,064 in the quarter ended Dec 31, 2025 to $897,287 in the quarter ended Jun 30, 2024 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 34.29 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 5.97 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 25.27 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Webuy Global | 4.20 Mn | -6.59 Mn | - | 337,302.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337,302.00 |
| Dec 31, 2025 | 287,064.00 |
| Jun 30, 2025 | 667,376.00 |
| Dec 31, 2024 | 730,647.00 |
| Jun 30, 2024 | 897,287.00 |
| Dec 31, 2023 | 896,539.00 |
| Jun 30, 2023 | 868,733.00 |
| Dec 31, 2022 | 423,633.00 |
Webuy Global 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=WBUY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WBUY", "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=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();