Webuy Global (WBUY) Receivables - Net (2022 - 2026)
Webuy Global (WBUY) posted Receivables - Net of $1.11 million for the quarter ended Jun 30, 2026, down 69.5% from $3.63 million a year earlier.
Webuy Global (WBUY) Receivables - Net (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Webuy Global's Receivables - Net came in at $1.12 million, down 73.1% from the prior year.
- Annual Receivables - Net shows a three-year compound annual growth rate of -24.1% (years ended Dec 2022 to Dec 2025).
- In prior years, Webuy Global's Receivables - Net was $4.18 million in the year ended Dec 31, 2024 (-58.7%), $10.11 million in the year ended Dec 31, 2023 (+293.8%) and $2.57 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Receivables - Net in data going back to the quarter ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn |
| 10 | Webuy Global | 909,936.84 | -9.64 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Jun 30, 2025 | 3.63 Mn |
| Dec 31, 2024 | 4.18 Mn |
| Jun 30, 2024 | 9.58 Mn |
| Dec 31, 2023 | 10.11 Mn |
| Jun 30, 2023 | 3.27 Mn |
| Dec 31, 2022 | 2.57 Mn |
Webuy Global Receivables - 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=receivables-net&ticker=WBUY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();