Hippo Holdings (HIPO) EBITDA (2020 - 2024)
Hippo Holdings (HIPO) reported EBITDA of $83.7 million for FY2025, compared with -$4.2 million in FY2024.
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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 -$356.2 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | - |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 940.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -5.63 Bn |
| 10 | Hippo Holdings | 813.18 Mn | -692.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 52.90 Mn |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | -30.60 Mn |
| Mar 31, 2024 | -27.30 Mn |
| Dec 31, 2023 | -33.60 Mn |
| Sep 30, 2023 | -45.70 Mn |
| Jun 30, 2023 | -99.80 Mn |
| Mar 31, 2023 | -63.50 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 | -27.10 Mn |
| Jun 30, 2021 | 1.94 Mn |
| Mar 31, 2021 | 1.04 Mn |
| Dec 31, 2020 | -52.00 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_KEYimport 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();