Waterdrop (WDH) Total Non-Current Liabilities (2020 - 2026)
Waterdrop (WDH) recorded Total Non-Current Liabilities of $12.08 million in Q2 2026, down 6.5% from $12.92 million a year earlier but up 39.9% from the prior quarter.
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Analysis
Waterdrop (WDH) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Waterdrop reported Total Non-Current Liabilities of $8.07 million, down 38.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -26.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $13.04 million in FY2024 (-8.0%), $14.17 million in FY2023 (+184.0%), $4.99 million in FY2022 (+13.4%) and $4.4 million in FY2021 (-88.0%).
- Quarterly Total Non-Current Liabilities has ranged from $3.75 million in Q3 2022 to $16.8 million in Q2 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 13.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 197.9% in Q3 2023, against a decline of 88.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.63 million (Q1 2026), $7.96 million (Q4 2025) and $12.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 55.80 Bn |
| 10 | Waterdrop | 368.10 Mn | -273.26 Mn | - | 12.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.08 Mn |
| Mar 31, 2026 | 8.63 Mn |
| Dec 31, 2025 | 7.96 Mn |
| Sep 30, 2025 | 12.66 Mn |
| Jun 30, 2025 | 12.92 Mn |
| Mar 31, 2025 | 13.42 Mn |
| Dec 31, 2024 | 12.53 Mn |
| Sep 30, 2024 | 14.85 Mn |
| Jun 30, 2024 | 16.80 Mn |
| Mar 31, 2024 | 16.04 Mn |
| Dec 31, 2023 | 13.97 Mn |
| Sep 30, 2023 | 11.18 Mn |
| Jun 30, 2023 | 7.39 Mn |
| Mar 31, 2023 | 9.59 Mn |
| Dec 31, 2022 | 4.84 Mn |
| Sep 30, 2022 | 3.75 Mn |
| Jun 30, 2022 | 5.80 Mn |
| Mar 31, 2022 | 10.22 Mn |
| Dec 31, 2021 | 4.38 Mn |
| Sep 30, 2021 | 5.63 Mn |
API Access
Waterdrop Total Non-Current 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-non-current-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();