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 | 1,248.67 Bn | -185.49 Bn | 56.71 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn |
| 10 | Waterdrop | 360.88 Mn | -284.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.93 Mn |
| Mar 31, 2026 | 170.15 Mn |
| Dec 31, 2025 | 163.01 Mn |
| Sep 30, 2025 | 121.09 Mn |
| Jun 30, 2025 | 101.09 Mn |
| Mar 31, 2025 | 109.06 Mn |
| Dec 31, 2024 | 96.47 Mn |
| Sep 30, 2024 | 103.26 Mn |
| Jun 30, 2024 | 89.70 Mn |
| Mar 31, 2024 | 109.51 Mn |
| Dec 31, 2023 | 84.10 Mn |
| Sep 30, 2023 | 92.08 Mn |
| Jun 30, 2023 | 86.52 Mn |
| Mar 31, 2023 | 77.95 Mn |
| Dec 31, 2022 | 3.97 Mn |
| Sep 30, 2022 | 81.44 Mn |
| Jun 30, 2022 | 69.20 Mn |
| Mar 31, 2022 | 70.63 Mn |
| Dec 31, 2021 | 11.24 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();