Hippo Holdings (HIPO) Accumulated Expenses (2020 - 2026)
Hippo Holdings (HIPO) posted Accumulated Expenses of $83.7 million for Q3 2026, down 1.9% from $85.3 million a year earlier but up 4.4% from the prior quarter.
Powered by 
Analysis
Hippo Holdings (HIPO) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Hippo Holdings' Accumulated Expenses came in at $80.7 million, down 7.7% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Hippo Holdings' Accumulated Expenses was $87.4 million in FY2024 (-23.0%), $113.5 million in FY2023 (-11.5%), $128.2 million in FY2022 (+34.4%) and $95.4 million in FY2021 (+120.8%).
- Quarterly Accumulated Expenses has run from a low of $71.8 million in Q1 2026 to a high of $132.6 million in Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 13.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 120.8%; the weakest was Q2 2025, with a decline of 27.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $80.2 million (Q2 2026), $71.8 million (Q1 2026) and $80.7 million (Q4 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 | Hippo Holdings | 966.10 Mn | -491.40 Mn | 83.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 83.70 Mn |
| Jun 30, 2026 | 80.20 Mn |
| Mar 31, 2026 | 71.80 Mn |
| Dec 31, 2025 | 80.70 Mn |
| Sep 30, 2025 | 85.30 Mn |
| Jun 30, 2025 | 77.20 Mn |
| Mar 31, 2025 | 90.90 Mn |
| Dec 31, 2024 | 87.40 Mn |
| Sep 30, 2024 | 98.10 Mn |
| Jun 30, 2024 | 106.20 Mn |
| Mar 31, 2024 | 105.40 Mn |
| Dec 31, 2023 | 113.50 Mn |
| Sep 30, 2023 | 124.90 Mn |
| Jun 30, 2023 | 127.70 Mn |
| Mar 31, 2023 | 132.60 Mn |
| Dec 31, 2022 | 128.20 Mn |
| Sep 30, 2022 | 123.70 Mn |
| Jun 30, 2022 | 120.60 Mn |
| Mar 31, 2022 | 101.10 Mn |
| Dec 31, 2021 | 95.40 Mn |
API Access
Hippo Holdings 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=HIPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HIPO", "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=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();