Webuy Global (WBUY) Debt Ratio (2022 - 2026)
Webuy Global's Debt Ratio was 0.00 in the quarter ended Jun 30, 2026, down 97.2% from 0.06 a year earlier.
Analysis
Webuy Global (WBUY) Debt Ratio (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Debt Ratio at Webuy Global came in at 0.04, down 53.0% from the prior year.
- Debt Ratio has now declined for three consecutive years.
- In earlier years, Debt Ratio was 0.08 in the year ended Dec 31, 2024 (-4.1%), 0.09 in the year ended Dec 31, 2023 (-72.3%) and 0.31 in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Debt Ratio in data going back to the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 0.17 |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 0.07 |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 0.48 |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 0.34 |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 0.14 |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 0.27 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 0.21 |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 0.38 |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 0.18 |
| 10 | Webuy Global | 4.63 Mn | -6.16 Mn | - | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Dec 31, 2025 | 0.04 |
| Jun 30, 2025 | 0.06 |
| Dec 31, 2024 | 0.08 |
| Jun 30, 2024 | 0.07 |
| Dec 31, 2023 | 0.09 |
| Jun 30, 2023 | 0.29 |
| Dec 31, 2022 | 0.31 |
API Access
Webuy Global Debt Ratio 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=debt-ratio&ticker=WBUY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=WBUY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();