Goosehead Insurance, Inc. (GSHD) EBIT (2017 - 2026)
Goosehead Insurance's EBIT was $26.59 million in Q2 2026, up 69.8% from $15.66 million a year earlier and up 77.3% from the prior quarter.
Goosehead Insurance, Inc. (GSHD) EBIT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goosehead Insurance's EBIT was $93.76 million through Jun 30, 2026, up 40.9% year-over-year; for FY2025, it came in at $74.45 million, up 21.8% from FY2024.
- EBIT has now increased for four consecutive years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier years, EBIT was $61.14 million in FY2024 (+85.5%), $32.96 million in FY2023 (+225.4%), $10.13 million in FY2022 (+16.8%) and $8.67 million in FY2021 (-56.5%).
- Quarterly EBIT has moved between -$6.1 million (Q1 2022) and $30.9 million (Q4 2025) over five years.
- Compared with a year earlier, EBIT has increased for nine straight quarters, with growth averaging 116.3% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q1 2025 (growth of 354.6%); the worst was Q4 2021 (a decline of 58.3%).
- Per Business Quant data, GSHD's EBIT in the three quarters before Q2 2026 was $15 million (Q1 2026), $30.9 million (Q4 2025) and $21.28 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.59 Mn |
| Mar 31, 2026 | 15.00 Mn |
| Dec 31, 2025 | 30.90 Mn |
| Sep 30, 2025 | 21.28 Mn |
| Jun 30, 2025 | 15.66 Mn |
| Mar 31, 2025 | 6.61 Mn |
| Dec 31, 2024 | 27.85 Mn |
| Sep 30, 2024 | 16.44 Mn |
| Jun 30, 2024 | 15.40 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 6.68 Mn |
| Sep 30, 2023 | 13.61 Mn |
| Jun 30, 2023 | 11.19 Mn |
| Mar 31, 2023 | 1.47 Mn |
| Dec 31, 2022 | 6.78 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 5.67 Mn |
| Mar 31, 2022 | -6.10 Mn |
| Dec 31, 2021 | 2.15 Mn |
| Sep 30, 2021 | 3.54 Mn |
Goosehead Insurance, Inc. EBIT 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=ebit&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();