Waterdrop (WDH) Total Liabilities (2020 - 2026)
Waterdrop (WDH) recorded Total Liabilities of $376.65 million in Q2 2026, up 80.4% from $208.82 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Waterdrop (WDH) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Waterdrop reported Total Liabilities of $271.19 million, up 19.5% from FY2024.
- Annual Total Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $226.9 million in FY2024 (+3.1%), $220.14 million in FY2023 (+31.3%), $167.62 million in FY2022 (-79.7%) and $827.31 million in FY2021 (-10.3%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2021.
- On a year-over-year basis, Total Liabilities rose in five of the last six quarters, with growth averaging 27.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 80.4% in Q2 2026, against a decline of 82.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $366.22 million (Q1 2026), $274.78 million (Q4 2025) and $215.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 58.06 Bn |
| 10 | Waterdrop | 368.10 Mn | -273.26 Mn | - | 376.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 376.65 Mn |
| Mar 31, 2026 | 366.22 Mn |
| Dec 31, 2025 | 274.78 Mn |
| Sep 30, 2025 | 215.27 Mn |
| Jun 30, 2025 | 208.82 Mn |
| Mar 31, 2025 | 223.82 Mn |
| Dec 31, 2024 | -301.74 Mn |
| Sep 30, 2024 | 224.28 Mn |
| Jun 30, 2024 | 197.61 Mn |
| Mar 31, 2024 | 211.52 Mn |
| Dec 31, 2023 | 217.08 Mn |
| Sep 30, 2023 | 202.70 Mn |
| Jun 30, 2023 | 176.36 Mn |
| Mar 31, 2023 | 169.63 Mn |
| Dec 31, 2022 | 162.55 Mn |
| Sep 30, 2022 | 154.95 Mn |
| Jun 30, 2022 | 152.32 Mn |
| Mar 31, 2022 | 170.85 Mn |
| Dec 31, 2021 | -2.10 Bn |
| Sep 30, 2021 | 213.66 Mn |
API Access
Waterdrop Total Liabilities 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-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();