Hippo Holdings (HIPO) Shares Outstanding (2020 - 2026)
Hippo Holdings (HIPO) recorded Weighted Average Shares Outstanding of 26.2 million in Q3 2026, up 4.0% from 25.18 million a year earlier and unchanged from the prior quarter.
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Analysis
Hippo Holdings (HIPO) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Hippo Holdings reported Weighted Average Shares Outstanding of 25.25 million, up 2.2% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for four straight years, though with a five-year compound annual growth rate of -21.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding 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%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 17 consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 108.9% in Q4 2022, against a decline of 87.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 26.2 million (Q2 2026), 25.84 million (Q1 2026) and 25.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 1.43 Mn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 385.55 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 580.90 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 476.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 206.90 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.70 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 256.70 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 212.30 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 251.60 Mn |
| 10 | Hippo Holdings | 966.10 Mn | -491.40 Mn | 83.30 Mn | 26.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.50 Mn |
| Jun 30, 2026 | 26.20 Mn |
| Mar 31, 2026 | 25.84 Mn |
| Dec 31, 2025 | 25.25 Mn |
| Sep 30, 2025 | 25.18 Mn |
| Jun 30, 2025 | 25.34 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 |
API Access
Hippo Holdings Shares Outstanding 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&ticker=HIPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=HIPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();