Waterdrop (WDH) Debt Ratio (2023 - 2026)
Waterdrop's Debt Ratio was 0.06 in Q2 2026, up 529.8% from 0.01 a year earlier and up 71.0% from the prior quarter.
Analysis
Waterdrop (WDH) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Waterdrop came in at 0.01, down 79.0% from FY2024.
- In earlier years, Debt Ratio was 0.03 in FY2024 (+37.4%) and 0.02 in FY2023.
- The Q2 2026 figure marks the highest quarterly Debt Ratio since Q4 2024.
- Compared with a year earlier, Debt Ratio was higher in two of the last four quarters, with growth averaging 154.1%.
- Per Business Quant data, WDH's Debt Ratio in the three quarters before Q2 2026 was 0.04 (Q1 2026), 0.01 (Q4 2025) and 0.01 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.54 Bn | 85.12 Bn | 9.13 Bn | 0.07 |
| 2 | Progressive | 132.52 Bn | 108.35 Bn | 9.04 Bn | 0.07 |
| 3 | Marsh & Mclennan Companies | 94.26 Bn | 86.42 Bn | - | 0.34 |
| 4 | Travelers Companies | 84.42 Bn | 60.67 Bn | 6.23 Bn | 0.06 |
| 5 | Manulife Financial | 75.91 Bn | -18.97 Bn | - | 0.06 |
| 6 | Arthur J. Gallagher | 69.11 Bn | 63.52 Bn | - | 0.16 |
| 7 | Allstate | 64.98 Bn | 26.25 Bn | 8.73 Bn | 0.06 |
| 8 | Metlife | 64.85 Bn | -41.93 Bn | 7.82 Bn | 0.01 |
| 9 | Aon | 64.80 Bn | 58.01 Bn | - | 0.28 |
| 10 | Waterdrop | 363.34 Mn | -298.27 Mn | - | 0.06 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.06 |
| Mar 31, 2026 | 0.04 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.01 |
| Jun 30, 2025 | 0.01 |
| Dec 31, 2024 | 0.03 |
| Sep 30, 2024 | 0.02 |
| Mar 31, 2024 | 0.01 |
| Dec 31, 2023 | 0.02 |
API Access
Waterdrop 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=WDH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "WDH", "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=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();