Webuy Global (WBUY) Receivables - Other (2022 - 2026)
Webuy Global's Receivables - Other was $47,313 in the quarter ended Jun 30, 2026, down 1.6% from $48,079 a year earlier.
Analysis
Webuy Global (WBUY) Receivables - Other (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables - Other at Webuy Global came in at $22,553, down 39.9% from the prior year.
- Receivables - Other shows a three-year compound annual growth rate of 76.3% (years ended Dec 2022 to Dec 2025).
- In earlier years, Receivables - Other was $37,556 in the year ended Dec 31, 2024 (+218.1%), $11,807 in the year ended Dec 31, 2023 (+186.6%) and $4,119 in the year ended Dec 31, 2022.
- Quarterly Receivables - Other has moved between $4,119 (the quarter ended Dec 31, 2022) and $48,079 (the quarter ended Jun 30, 2025) over five years.
- Compared with a year earlier, Receivables - Other was higher in two of the last four quarters, with growth averaging 69.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn |
| 10 | Webuy Global | 3.44 Mn | -7.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47,313.00 |
| Dec 31, 2025 | 22,553.00 |
| Jun 30, 2025 | 48,079.00 |
| Dec 31, 2024 | 929,530.00 |
| Jun 30, 2024 | 1.83 Mn |
| Dec 31, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Dec 31, 2022 | 792,034.00 |
API Access
Webuy Global Receivables - Other 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=receivables-other&ticker=WBUY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();