Hagerty (HGTY) Shares Outstanding (Diluted) (2020 - 2026)
Hagerty (HGTY) posted Shares Outstanding (Diluted) 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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Hagerty (HGTY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Hagerty's Shares Outstanding (Diluted) came in at 346.97 million, up 292.0% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 410.6% (FY2020 to FY2025).
- In prior years, Hagerty's Shares Outstanding (Diluted) was 88.5 million in FY2024 (-74.0%), 340.32 million in FY2023 (+1.2%), 336.15 million in FY2022 and 100,000 in FY2021 (unchanged).
- Quarterly Shares Outstanding (Diluted) has run from a low of 100,000 in Q3 2021 to a high of 347.24 million in Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 96.0%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 309.1%; the weakest was Q1 2023, with a decline of 75.2%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 101.03 million (Q1 2026), 346.97 million (Q4 2025) and 347.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | 391.25 Mn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 258.70 Mn |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 213.90 Mn |
| 10 | Hagerty | 4.63 Bn | 4.10 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 | 346.97 Mn |
| Sep 30, 2025 | 347.24 Mn |
| Jun 30, 2025 | 90.70 Mn |
| Mar 31, 2025 | 346.31 Mn |
| Dec 31, 2024 | 88.50 Mn |
| Sep 30, 2024 | 89.69 Mn |
| Jun 30, 2024 | 85.69 Mn |
| Mar 31, 2024 | 84.66 Mn |
| Dec 31, 2023 | 340.32 Mn |
| Sep 30, 2023 | 84.48 Mn |
| Jun 30, 2023 | 85.56 Mn |
| Mar 31, 2023 | 83.23 Mn |
| Dec 31, 2022 | 336.15 Mn |
| Sep 30, 2022 | 336.77 Mn |
| Jun 30, 2022 | 82.45 Mn |
| Mar 31, 2022 | 335.90 Mn |
| Dec 31, 2021 | 100,000.00 |
| Sep 30, 2021 | 100,000.00 |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();