Goosehead Insurance (GSHD) Consolidated Net Income (2017 - 2026)
Goosehead Insurance (GSHD) posted Consolidated Net Income of $17.01 million for Q2 2026, up 105.4% from $8.28 million a year earlier and up 111.5% from the prior quarter.
Goosehead Insurance (GSHD) Consolidated Net Income (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Goosehead Insurance was $58.58 million, up 23.7% year-over-year; for FY2025, it came in at $44.45 million, down 9.5% from FY2024.
- Annual Consolidated Net Income shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In prior years, Goosehead Insurance's Consolidated Net Income was $49.11 million in FY2024 (+107.3%), $23.7 million in FY2023 (+801.0%), $2.63 million in FY2022 (-68.3%) and $8.3 million in FY2021 (-55.8%).
- Quarterly Consolidated Net Income has run from a low of -$5.38 million in Q1 2022 to a high of $23.82 million in Q4 2024 over five years.
- On a year-over-year basis, Consolidated Net Income increased in six of the last eight quarters, with growth averaging 83.9%.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q4 2024, with growth of 339.2%; the weakest was Q4 2021, with a decline of 82.2%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $8.05 million (Q1 2026), $20.83 million (Q4 2025) and $12.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 2.33 Bn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 324.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 565.00 Mn |
| 10 | Goosehead Insurance | 1.62 Bn | 1.40 Bn | - | 17.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.01 Mn |
| Mar 31, 2026 | 8.05 Mn |
| Dec 31, 2025 | 20.83 Mn |
| Sep 30, 2025 | 12.69 Mn |
| Jun 30, 2025 | 8.28 Mn |
| Mar 31, 2025 | 2.65 Mn |
| Dec 31, 2024 | 23.82 Mn |
| Sep 30, 2024 | 12.61 Mn |
| Jun 30, 2024 | 10.88 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Sep 30, 2023 | 11.27 Mn |
| Jun 30, 2023 | 7.18 Mn |
| Mar 31, 2023 | -181,000.00 |
| Dec 31, 2022 | 2.58 Mn |
| Sep 30, 2022 | 3.04 Mn |
| Jun 30, 2022 | 2.39 Mn |
| Mar 31, 2022 | -5.38 Mn |
| Dec 31, 2021 | 881,000.00 |
| Sep 30, 2021 | 5.37 Mn |
Goosehead Insurance Consolidated Net Income 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=consolidated-net-income&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();