Webuy Global (WBUY) Receivables (2022 - 2026)
Webuy Global (WBUY) posted Receivables of $1.15 million for the quarter ended Jun 30, 2026, down 68.6% from $3.68 million a year earlier.
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Analysis
Webuy Global (WBUY) Receivables (2022 - 2026) Analysis & Trends
Since the quarter ended Dec 31, 2022, Webuy Global has reported Receivables for 8 quarters.
- Annual Receivables shows a three-year compound annual growth rate of -23.6% (years ended Dec 2022 to Dec 2025).
- In prior years, Webuy Global's Receivables was $4.22 million in the year ended Dec 31, 2024 (-58.4%), $10.12 million in the year ended Dec 31, 2023 (+293.6%) and $2.57 million in the year ended Dec 31, 2022.
- Quarterly Receivables has run from a low of $1.15 million in the quarter ended Dec 31, 2025 to a high of $10.12 million in the quarter ended Dec 31, 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 2.19 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 | 245.84 Mn |
| 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 | 2.48 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | - |
| 10 | Webuy Global | 4.63 Mn | -6.16 Mn | - | 1.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Mn |
| Dec 31, 2025 | 1.15 Mn |
| Jun 30, 2025 | 3.68 Mn |
| Dec 31, 2024 | 4.22 Mn |
| Jun 30, 2024 | 9.61 Mn |
| Dec 31, 2023 | 10.12 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Dec 31, 2022 | 2.57 Mn |
API Access
Webuy Global Receivables 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&ticker=WBUY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();