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 | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 540.28 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 205.00 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 93.26 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 44.90 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 113.09 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 723.97 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 54.99 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 54.94 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 95.54 Bn |
| 10 | Waterdrop | 360.88 Mn | -284.72 Mn | - | 377.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.98 Mn |
| Mar 31, 2026 | 367.74 Mn |
| Dec 31, 2025 | 278.57 Mn |
| Sep 30, 2025 | 216.43 Mn |
| Jun 30, 2025 | 210.85 Mn |
| Mar 31, 2025 | 224.21 Mn |
| Dec 31, 2024 | 226.94 Mn |
| Sep 30, 2024 | 229.05 Mn |
| Jun 30, 2024 | 196.85 Mn |
| Mar 31, 2024 | 211.52 Mn |
| Dec 31, 2023 | 219.92 Mn |
| Sep 30, 2023 | 200.96 Mn |
| Jun 30, 2023 | 176.36 Mn |
| Mar 31, 2023 | 169.63 Mn |
| Dec 31, 2022 | 166.03 Mn |
| Sep 30, 2022 | 154.95 Mn |
| Jun 30, 2022 | 152.32 Mn |
| Mar 31, 2022 | 170.85 Mn |
| Dec 31, 2021 | 200.43 Mn |
| 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();