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.
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 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 130.78 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 19.09 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 8.39 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 20.53 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 9.81 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 45.99 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 12.74 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 28.04 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 7.49 Bn |
| 10 | Waterdrop | 360.88 Mn | -284.72 Mn | - | 70.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.19 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 | 21.17 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_KEY
import 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();