Waterdrop (WDH) Accumulated Expenses (2021 - 2026)
Waterdrop (WDH) reported Accumulated Expenses of $157.93 million for Q2 2026, up 56.2% from $101.09 million a year earlier but down 7.2% from the prior quarter.
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Analysis
Waterdrop (WDH) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Waterdrop posted Accumulated Expenses of $163.08 million, up 69.1% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of 20.1% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $96.45 million in FY2024 (+14.6%), $84.18 million in FY2023 (-0.6%), $84.69 million in FY2022 (+8.2%) and $78.27 million in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $69.2 million in Q2 2022 and a high of $170.15 million in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 32.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 115.9%); the low point was Q2 2022 (a decline of 46.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $170.15 million (Q1 2026), $160.79 million (Q4 2025) and $121.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Waterdrop | 375.32 Mn | -266.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.93 Mn |
| Mar 31, 2026 | 170.15 Mn |
| Dec 31, 2025 | 160.79 Mn |
| Sep 30, 2025 | 121.09 Mn |
| Jun 30, 2025 | 101.09 Mn |
| Mar 31, 2025 | 109.06 Mn |
| Dec 31, 2024 | 74.47 Mn |
| Sep 30, 2024 | 103.26 Mn |
| Jun 30, 2024 | 89.70 Mn |
| Mar 31, 2024 | 109.51 Mn |
| Dec 31, 2023 | 83.01 Mn |
| Sep 30, 2023 | 92.08 Mn |
| Jun 30, 2023 | 86.52 Mn |
| Mar 31, 2023 | 77.95 Mn |
| Dec 31, 2022 | 82.13 Mn |
| Sep 30, 2022 | 81.44 Mn |
| Jun 30, 2022 | 69.20 Mn |
| Mar 31, 2022 | 70.63 Mn |
| Dec 31, 2021 | 78.01 Mn |
| Sep 30, 2021 | 95.84 Mn |
API Access
Waterdrop Accumulated Expenses 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=accumulated-expenses&ticker=WDH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WDH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();