Hippo Holdings (HIPO) EBITDA (2020 - 2024)
Hippo Holdings (HIPO) reported EBITDA of $83.7 million for FY2025, compared with -$4.2 million in FY2024.
Analysis
Hippo Holdings (HIPO) EBITDA (2020 - 2024) Analysis & Trends
Dating back to FY2020, Hippo Holdings' EBITDA record includes 6 years.
- The FY2025 figure ranks as the highest annual EBITDA in data going back to FY2020.
- According to Business Quant data, EBITDA came in at -$4.2 million in FY2024, -$242.7 million in FY2023, -$310 million in FY2022 and -$335.8 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -31.14 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | - |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.42 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 4.52 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 1.03 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 1.03 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 78.00 Mn |
| 10 | Hippo Holdings | 966.10 Mn | -491.40 Mn | 83.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 52.90 Mn |
| Sep 30, 2024 | -4.00 Mn |
| Jun 30, 2024 | -20.10 Mn |
| Mar 31, 2024 | -14.60 Mn |
| Dec 31, 2023 | -53.10 Mn |
| Sep 30, 2023 | -49.90 Mn |
| Jun 30, 2023 | -50.60 Mn |
| Mar 31, 2023 | -97.90 Mn |
| Dec 31, 2022 | -56.00 Mn |
| Sep 30, 2022 | -123.40 Mn |
| Jun 30, 2022 | -68.20 Mn |
| Mar 31, 2022 | -62.40 Mn |
| Dec 31, 2021 | -55.70 Mn |
| Sep 30, 2021 | -23.80 Mn |
| Jun 30, 2021 | 10.84 Mn |
| Mar 31, 2021 | 9.24 Mn |
| Dec 31, 2020 | 1.65 Mn |
API Access
Hippo Holdings EBITDA 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=ebitda&ticker=HIPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();