Webuy Global (WBUY) Other Accumulated Expenses (2022 - 2026)
Webuy Global (WBUY) posted Other Accumulated Expenses of $3.13 million for the quarter ended Jun 30, 2026, down 17.5% from $3.8 million a year earlier.
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Analysis
Webuy Global (WBUY) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Webuy Global's Other Accumulated Expenses came in at $3.02 million, down 17.6% from the prior year.
- Annual Other Accumulated Expenses shows a three-year compound annual growth rate of 20.5% (years ended Dec 2022 to Dec 2025).
- In prior years, Webuy Global's Other Accumulated Expenses was $3.67 million in the year ended Dec 31, 2024 (-40.0%), $6.11 million in the year ended Dec 31, 2023 (+253.5%) and $1.73 million in the year ended Dec 31, 2022.
- Quarterly Other Accumulated Expenses has run from a low of $1.73 million in the quarter ended Dec 31, 2022 to a high of $6.23 million in the quarter ended Jun 30, 2024 over five years.
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 | 3.13 Mn |
| Dec 31, 2025 | 3.02 Mn |
| Jun 30, 2025 | 3.80 Mn |
| Dec 31, 2024 | 3.67 Mn |
| Jun 30, 2024 | 6.23 Mn |
| Dec 31, 2023 | 6.11 Mn |
| Jun 30, 2023 | 1.95 Mn |
| Dec 31, 2022 | 1.73 Mn |
API Access
Webuy Global Other 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=other-accumulated-expenses&ticker=WBUY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();