Goosehead Insurance (GSHD) Shares Outstanding (Diluted) (2018 - 2026)
Goosehead Insurance's Shares Outstanding (Diluted) was 35.71 million in Q2 2026, down 7.4% from 38.55 million a year earlier and down 2.5% from the prior quarter.
Goosehead Insurance (GSHD) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Goosehead Insurance came in at 38.1 million, down 0.5% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 38.3 million in FY2024 (-0.1%), 38.36 million in FY2023 (+76.2%), 21.77 million in FY2022 (+4.6%) and 20.81 million in FY2021 (+13.2%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q1 2025.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in four of the last eight quarters, with growth averaging 6.7%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q4 2023 (growth of 76.2%); the worst was Q1 2025 (a decline of 33.2%).
- Per Business Quant data, GSHD's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 36.64 million (Q1 2026), 38.1 million (Q4 2025) and 38.01 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 | Goosehead Insurance | 1.61 Bn | 1.40 Bn | - | 35.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.71 Mn |
| Mar 31, 2026 | 36.64 Mn |
| Dec 31, 2025 | 38.10 Mn |
| Sep 30, 2025 | 38.01 Mn |
| Jun 30, 2025 | 38.55 Mn |
| Mar 31, 2025 | 25.94 Mn |
| Dec 31, 2024 | 38.30 Mn |
| Sep 30, 2024 | 37.94 Mn |
| Jun 30, 2024 | 38.03 Mn |
| Mar 31, 2024 | 38.84 Mn |
| Dec 31, 2023 | 38.36 Mn |
| Sep 30, 2023 | 24.89 Mn |
| Jun 30, 2023 | 24.33 Mn |
| Mar 31, 2023 | 23.21 Mn |
| Dec 31, 2022 | 21.77 Mn |
| Sep 30, 2022 | 21.57 Mn |
| Jun 30, 2022 | 21.25 Mn |
| Mar 31, 2022 | 20.24 Mn |
| Dec 31, 2021 | 20.81 Mn |
| Sep 30, 2021 | 21.21 Mn |
Goosehead Insurance 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=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GSHD", "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=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();