Hagerty (HGTY) Shares Outstanding (2020 - 2026)
Hagerty (HGTY) posted Shares Outstanding of 101.8 million for Q2 2026, up 12.2% from 90.7 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Hagerty (HGTY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Hagerty's Shares Outstanding came in at 94.4 million, up 7.9% from FY2024.
- Annual Shares Outstanding has increased for four consecutive years, with a five-year compound annual growth rate of 293.5% (FY2020 to FY2025).
- In prior years, Hagerty's Shares Outstanding was 87.53 million in FY2024 (+4.0%), 84.18 million in FY2023 (+1.8%), 82.73 million in FY2022 (+0.5%) and 82.33 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q4 2020.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 15 quarters, with growth averaging 7.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.5% in Q4 2022 to 12.2% in Q2 2026.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 101.03 million (Q1 2026), 94.4 million (Q4 2025) and 96.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.44 Mn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 387.41 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 583.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 480.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 210.50 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.70 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 642.60 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.20 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 256.70 Mn |
| 10 | Hagerty | 4.61 Bn | 4.09 Bn | - | 101.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.80 Mn |
| Mar 31, 2026 | 101.03 Mn |
| Dec 31, 2025 | 94.40 Mn |
| Sep 30, 2025 | 96.17 Mn |
| Jun 30, 2025 | 90.70 Mn |
| Mar 31, 2025 | 90.05 Mn |
| Dec 31, 2024 | 87.53 Mn |
| Sep 30, 2024 | 89.69 Mn |
| Jun 30, 2024 | 85.69 Mn |
| Mar 31, 2024 | 84.66 Mn |
| Dec 31, 2023 | 84.18 Mn |
| Sep 30, 2023 | 84.48 Mn |
| Jun 30, 2023 | 84.37 Mn |
| Mar 31, 2023 | 83.23 Mn |
| Dec 31, 2022 | 82.73 Mn |
| Sep 30, 2022 | 82.82 Mn |
| Jun 30, 2022 | 82.45 Mn |
| Mar 31, 2022 | 82.43 Mn |
| Dec 31, 2021 | 82.33 Mn |
| Sep 30, 2021 | 3.45 Mn |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "HGTY", "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=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();