Hippo Holdings (HIPO) Shares Outstanding (Diluted) (2020 - 2026)
Hippo Holdings (HIPO) reported Shares Outstanding (Diluted) of 26.55 million for Q2 2026, up 2.0% from 26.02 million a year earlier and up 0.8% from the prior quarter.
Hippo Holdings (HIPO) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Hippo Holdings posted Shares Outstanding (Diluted) of 26.01 million, up 5.3% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, though with a five-year compound annual growth rate of -21.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 24.7 million in FY2024 (+4.8%), 23.58 million in FY2023 (+3.7%), 22.75 million in FY2022 (+108.9%) and 10.89 million in FY2021 (-87.5%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q2 2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 16 quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2022 (growth of 108.9%); the low point was Q4 2021 (a decline of 87.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 26.35 million (Q1 2026), 26.01 million (Q4 2025) and 26.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 391.25 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.90 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 258.70 Mn |
| 10 | Hippo Holdings | 810.02 Mn | -695.28 Mn | - | 26.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.55 Mn |
| Mar 31, 2026 | 26.35 Mn |
| Dec 31, 2025 | 26.01 Mn |
| Sep 30, 2025 | 26.03 Mn |
| Jun 30, 2025 | 26.02 Mn |
| Mar 31, 2025 | 24.98 Mn |
| Dec 31, 2024 | 24.70 Mn |
| Sep 30, 2024 | 25.07 Mn |
| Jun 30, 2024 | 24.63 Mn |
| Mar 31, 2024 | 24.23 Mn |
| Dec 31, 2023 | 23.58 Mn |
| Sep 30, 2023 | 23.73 Mn |
| Jun 30, 2023 | 23.39 Mn |
| Mar 31, 2023 | 23.20 Mn |
| Dec 31, 2022 | 22.75 Mn |
| Sep 30, 2022 | 22.84 Mn |
| Jun 30, 2022 | 22.64 Mn |
| Mar 31, 2022 | 22.46 Mn |
| Dec 31, 2021 | 10.89 Mn |
| Sep 30, 2021 | 15.48 Mn |
Hippo Holdings Shares Outstanding (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=shares-outstanding-diluted&ticker=HIPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();