Hippo Holdings (HIPO) Long-Term Investments (2020 - 2026)
Hippo Holdings (HIPO) recorded Long-Term Investments of $431 million in Q2 2026, up 81.6% from $237.3 million a year earlier and up 44.3% 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 Q2 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 16 consecutive quarters, with growth averaging 41.1% 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 $298.7 million (Q1 2026), $293.4 million (Q4 2025) and $245.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | 19.95 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | 172.65 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | 97.22 Bn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | - |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | 103.18 Bn |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | - |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | 482.56 Bn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | - |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | - |
| 10 | Hippo Holdings | 831.12 Mn | -674.18 Mn | - | 431.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 59.70 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();