Waterdrop (WDH) Total Current Liabilities (2020 - 2026)
Waterdrop (WDH) posted Total Current Liabilities of $365.9 million for Q2 2026, up 84.9% from $197.93 million a year earlier and up 1.9% from the prior quarter.
Waterdrop (WDH) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Waterdrop's Total Current Liabilities came in at $270.62 million, up 33.0% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Waterdrop's Total Current Liabilities was $203.44 million in FY2024 (+5.5%), $192.91 million in FY2023 (+18.6%), $162.63 million in FY2022 (-17.0%) and $196.02 million in FY2021 (+6.3%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last six quarters, with growth averaging 32.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2026, with growth of 84.9%; the weakest was Q2 2022, with a decline of 36.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $359.1 million (Q1 2026), $266.82 million (Q4 2025) and $203.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 21.36 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 27.23 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 43.17 Bn |
| 10 | Waterdrop | 368.10 Mn | -273.26 Mn | - | 365.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.90 Mn |
| Mar 31, 2026 | 359.10 Mn |
| Dec 31, 2025 | 266.82 Mn |
| Sep 30, 2025 | 203.77 Mn |
| Jun 30, 2025 | 197.93 Mn |
| Mar 31, 2025 | 200.84 Mn |
| Dec 31, 2024 | 151.15 Mn |
| Sep 30, 2024 | 201.31 Mn |
| Jun 30, 2024 | 167.94 Mn |
| Mar 31, 2024 | 182.64 Mn |
| Dec 31, 2023 | 190.22 Mn |
| Sep 30, 2023 | 176.53 Mn |
| Jun 30, 2023 | 168.97 Mn |
| Mar 31, 2023 | 160.04 Mn |
| Dec 31, 2022 | 157.71 Mn |
| Sep 30, 2022 | 151.19 Mn |
| Jun 30, 2022 | 146.52 Mn |
| Mar 31, 2022 | 160.63 Mn |
| Dec 31, 2021 | -1.02 Bn |
| Sep 30, 2021 | 208.03 Mn |
Waterdrop Total 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-current-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();