Hippo Holdings (HIPO) Long-Term Investments (2020 - 2026)
Hippo Holdings (HIPO) recorded Long-Term Investments of $436.3 million in Q3 2026, up 77.7% from $245.5 million a year earlier and up 1.2% from the prior quarter.
Hippo Holdings (HIPO) Long-Term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Hippo Holdings reported Long-Term Investments of $293.4 million, up 42.6% from FY2024.
- Annual Long-Term Investments has increased for four straight years, with a five-year compound annual growth rate of 39.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $205.7 million in FY2024 (+27.2%), $161.7 million in FY2023 (+33.5%), $121.1 million in FY2022 (+120.6%) and $54.9 million in FY2021 (-2.0%).
- The Q3 2026 figure is the highest quarterly Long-Term Investments in data going back to Q4 2020.
- On a year-over-year basis, Long-Term Investments has increased for 17 consecutive quarters, with growth averaging 45.5% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 120.6% in Q4 2022, against a decline of 62.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $431 million (Q2 2026), $298.7 million (Q1 2026) and $293.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 20.65 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 172.51 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 99.20 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 100.59 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 41.64 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 | 87.38 Bn |
| 10 | Hippo Holdings | 966.10 Mn | -491.40 Mn | 83.30 Mn | 436.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 436.30 Mn |
| Jun 30, 2026 | 431.00 Mn |
| Mar 31, 2026 | 298.70 Mn |
| Dec 31, 2025 | 293.40 Mn |
| Sep 30, 2025 | 245.50 Mn |
| Jun 30, 2025 | 237.30 Mn |
| Mar 31, 2025 | 212.20 Mn |
| Dec 31, 2024 | 205.70 Mn |
| Sep 30, 2024 | 201.80 Mn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 162.70 Mn |
| Dec 31, 2023 | 161.70 Mn |
| Sep 30, 2023 | 141.50 Mn |
| Jun 30, 2023 | 135.60 Mn |
| Mar 31, 2023 | 141.00 Mn |
| Dec 31, 2022 | 121.10 Mn |
| Sep 30, 2022 | 109.20 Mn |
| Jun 30, 2022 | 102.60 Mn |
| Mar 31, 2022 | 86.50 Mn |
| Dec 31, 2021 | 54.90 Mn |
Hippo Holdings Long-Term Investments 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=long-term-investments&ticker=HIPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();