Webuy Global (WBUY) Operating Leases (2022 - 2026)
Webuy Global (WBUY) reported Operating Leases of $781,623 for the quarter ended Jun 30, 2026, up 6.9% from $731,254 a year earlier.
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Analysis
Webuy Global (WBUY) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Webuy Global posted Operating Leases of $989,503, down 34.0% from the prior year.
- Operating Leases has a three-year compound annual growth rate of 353.7% (years ended Dec 2022 to Dec 2025).
- By year, Operating Leases came in at $1.5 million in the year ended Dec 31, 2024 (-31.7%), $2.19 million in the year ended Dec 31, 2023 and $10,598 in the year ended Dec 31, 2022.
- Five-year quarterly Operating Leases spans a low of $10,598 in the quarter ended Dec 31, 2022 and a high of $2.19 million in the quarter ended Dec 31, 2023.
- Year over year, Operating Leases gained in two of the last four quarters, with an average decline of 12.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Webuy Global | 4.63 Mn | -6.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 781,623.00 |
| Dec 31, 2025 | 989,503.00 |
| Jun 30, 2025 | 731,254.00 |
| Dec 31, 2024 | 1.50 Mn |
| Jun 30, 2024 | 664,444.00 |
| Dec 31, 2023 | 2.19 Mn |
| Jun 30, 2023 | 1.94 Mn |
| Dec 31, 2022 | 10,598.00 |
API Access
Webuy Global Operating Leases 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-leases&ticker=WBUY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();