Webuy Global (WBUY) Total Debt (2022 - 2026)
Webuy Global (WBUY) recorded Total Debt of $31,094 in the quarter ended Jun 30, 2026, down 96.5% from $900,347 a year earlier.
Powered by 
Analysis
Webuy Global (WBUY) Total Debt (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Webuy Global reported Total Debt of $631,917, down 67.1% from the prior year.
- Annual Total Debt has a three-year compound annual growth rate of -36.7% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Total Debt came in at $1.92 million in the year ended Dec 31, 2024 (-26.6%), $2.62 million in the year ended Dec 31, 2023 (+4.9%) and $2.5 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Debt in data going back to the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 50.41 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 5.67 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.52 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 17.00 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 4.57 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 2.43 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 5.41 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Webuy Global | 4.63 Mn | -6.16 Mn | - | 31,094.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31,094.00 |
| Dec 31, 2025 | 631,917.00 |
| Jun 30, 2025 | 900,347.00 |
| Dec 31, 2024 | 1.92 Mn |
| Jun 30, 2024 | 2.18 Mn |
| Dec 31, 2023 | 2.62 Mn |
| Jun 30, 2023 | 3.31 Mn |
| Dec 31, 2022 | 2.50 Mn |
API Access
Webuy Global Total Debt 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=total-debt&ticker=WBUY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();