Waterdrop (WDH) Total Debt (2023 - 2026)
Waterdrop (WDH) recorded Total Debt of $69.95 million in Q2 2026, up 703.1% from $8.71 million a year earlier and up 76.4% from the prior quarter.
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Analysis
Waterdrop (WDH) Total Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Waterdrop reported Total Debt of $6.54 million, down 75.9% from FY2024.
- Across earlier years, Total Debt came in at $27.18 million in FY2024 (+40.3%) and $19.37 million in FY2023.
- The Q2 2026 figure is the highest quarterly Total Debt in data going back to Q4 2023.
- On a year-over-year basis, Total Debt rose in two of the last four quarters, with growth averaging 153.5%.
- Per Business Quant, the preceding three quarters came in at $39.66 million (Q1 2026), $6.63 million (Q4 2025) and $8.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 18.54 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | 8.39 Bn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 20.53 Bn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | 9.07 Bn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | 46.19 Bn |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | 13.48 Bn |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 5.89 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | 7.49 Bn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | 14.97 Bn |
| 10 | Waterdrop | 361.53 Mn | -300.08 Mn | - | 70.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.11 Mn |
| Mar 31, 2026 | 39.82 Mn |
| Dec 31, 2025 | 6.72 Mn |
| Sep 30, 2025 | 8.85 Mn |
| Jun 30, 2025 | 8.79 Mn |
| Dec 31, 2024 | 27.18 Mn |
| Sep 30, 2024 | 21.19 Mn |
| Mar 31, 2024 | 10.41 Mn |
| Dec 31, 2023 | 19.36 Mn |
API Access
Waterdrop 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=WDH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();