Hippo Holdings (HIPO) EPS (Diluted) (2020 - 2026)
Hippo Holdings (HIPO) reported EPS (Diluted) of $0.38 for Q2 2026, up 661.5% from $0.05 a year earlier and up 41.2% from the prior quarter.
Hippo Holdings (HIPO) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hippo Holdings' EPS (Diluted) came in at $4.57; for FY2025, it came in at $2.22.
- By year, EPS (Diluted) came in at -$1.64 in FY2024, -$11.58 in FY2023, -$14.66 in FY2022 and -$34.11 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$5.66 in Q3 2022 and a high of $3.77 in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.27 (Q1 2026), $0.23 (Q4 2025) and $3.77 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 7.29 |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 5.67 |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.63 |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.34 |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 0.89 |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 1.09 |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 1.25 |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 12.51 |
| 10 | Hippo Holdings | 813.18 Mn | -692.12 Mn | - | 0.38 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.38 |
| Mar 31, 2026 | 0.27 |
| Dec 31, 2025 | 0.23 |
| Sep 30, 2025 | 3.77 |
| Jun 30, 2025 | 0.05 |
| Mar 31, 2025 | -1.91 |
| Dec 31, 2024 | 1.79 |
| Sep 30, 2024 | -0.34 |
| Jun 30, 2024 | -1.64 |
| Mar 31, 2024 | -1.47 |
| Dec 31, 2023 | -1.79 |
| Sep 30, 2023 | -2.24 |
| Jun 30, 2023 | -4.61 |
| Mar 31, 2023 | -3.01 |
| Dec 31, 2022 | -2.77 |
| Sep 30, 2022 | -5.66 |
| Jun 30, 2022 | -3.25 |
| Mar 31, 2022 | -3.01 |
| Dec 31, 2021 | -5.58 |
| Sep 30, 2021 | -2.00 |
Hippo Holdings EPS (Diluted) 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=eps-diluted&ticker=HIPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();