Webuy Global (WBUY) Accumulated Expenses (2022 - 2026)
Webuy Global (WBUY) reported Accumulated Expenses of $636,194 for the quarter ended Dec 31, 2025, down 19.9% from $793,873 a year earlier.
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Analysis
Webuy Global (WBUY) Accumulated Expenses (2022 - 2026) Analysis & Trends
Dating back to the quarter ended Dec 31, 2022, Webuy Global's Accumulated Expenses record includes 6 quarters.
- Accumulated Expenses has a three-year compound annual growth rate of 10.3% (years ended Dec 2022 to Dec 2025).
- By year, Accumulated Expenses came in at $793,873 in the year ended Dec 31, 2024 (+17.6%), $674,949 in the year ended Dec 31, 2023 (+42.4%) and $474,033 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Accumulated Expenses since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Webuy Global | 4.20 Mn | -6.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 717,885.00 |
| Dec 31, 2025 | 636,194.00 |
| Jun 30, 2025 | 716,010.00 |
| Dec 31, 2024 | 793,873.00 |
| Dec 31, 2023 | 674,949.00 |
| Jun 30, 2023 | 410,349.00 |
| Dec 31, 2022 | 474,033.00 |
API Access
Webuy Global Accumulated 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=accumulated-expenses&ticker=WBUY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();