Hippo Holdings (HIPO) Total Liabilities (2020 - 2026)
Hippo Holdings (HIPO) posted Total Liabilities of $2.28 billion for Q3 2026, up 57.2% from $1.45 billion a year earlier and up 23.2% from the prior quarter.
Hippo Holdings (HIPO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Hippo Holdings' Total Liabilities came in at $1.47 billion, up 24.7% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In prior years, Hippo Holdings' Total Liabilities was $1.18 billion in FY2024 (+3.4%), $1.14 billion in FY2023 (+16.9%), $975.4 million in FY2022 (+24.9%) and $781 million in FY2021 (-33.8%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 24.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2026, with growth of 57.2%; the weakest was Q4 2021, with a decline of 33.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.85 billion (Q2 2026), $1.61 billion (Q1 2026) and $1.47 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 540.28 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 205.00 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 93.26 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 44.90 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 113.09 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 723.97 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 54.99 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 54.94 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 95.54 Bn |
| 10 | Hippo Holdings | 966.10 Mn | -491.40 Mn | 83.30 Mn | 2.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.28 Bn |
| Jun 30, 2026 | 1.85 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 1.47 Bn |
| Sep 30, 2025 | 1.45 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.21 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 975.40 Mn |
| Sep 30, 2022 | 991.00 Mn |
| Jun 30, 2022 | 878.00 Mn |
| Mar 31, 2022 | 865.80 Mn |
| Dec 31, 2021 | 781.00 Mn |
Hippo Holdings Total 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-liabilities&ticker=HIPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();