Goosehead Insurance (GSHD) EBITDA (2017 - 2026)
Goosehead Insurance's EBITDA came in at $30.14 million for Q2 2026, up 62.7% from $18.52 million a year earlier and up 65.5% from the prior quarter.
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Analysis
Goosehead Insurance (GSHD) EBITDA (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goosehead Insurance reported EBITDA of $106.21 million, up 37.4% year-over-year; for FY2025, it was $85.72 million, up 19.6% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $71.68 million in FY2024 (+69.8%), $42.2 million in FY2023 (+144.8%), $17.24 million in FY2022 (+25.0%) and $13.79 million in FY2021 (-41.3%).
- The five-year range for quarterly EBITDA is -$4.47 million (Q1 2022) to $32.84 million (Q4 2025).
- Year-over-year, EBITDA has increased for 13 consecutive quarters, with growth averaging 73.1% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2024 (growth of 238.2%), and the weakest in Q3 2021 (a decline of 39.6%).
- Business Quant data shows GSHD's EBITDA at $18.21 million (Q1 2026), $32.84 million (Q4 2025) and $25.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,178.60 Bn | -238.88 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 140.37 Bn | 92.42 Bn | 9.13 Bn | - |
| 3 | Progressive | 133.48 Bn | 109.32 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 94.69 Bn | 87.08 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 84.57 Bn | 60.82 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 77.66 Bn | -16.05 Bn | - | - |
| 7 | Arthur J. Gallagher | 69.43 Bn | 63.86 Bn | - | 943.00 Mn |
| 8 | Metlife | 66.04 Bn | -40.44 Bn | 7.82 Bn | - |
| 9 | Allstate | 65.83 Bn | 27.08 Bn | 8.73 Bn | -5.63 Bn |
| 10 | Goosehead Insurance | 1.80 Bn | 1.59 Bn | - | 30.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.44 Mn |
| Mar 31, 2026 | 18.50 Mn |
| Dec 31, 2025 | 32.84 Mn |
| Sep 30, 2025 | 25.02 Mn |
| Jun 30, 2025 | 18.83 Mn |
| Mar 31, 2025 | 9.58 Mn |
| Dec 31, 2024 | 30.24 Mn |
| Sep 30, 2024 | 19.20 Mn |
| Jun 30, 2024 | 18.15 Mn |
| Mar 31, 2024 | 4.09 Mn |
| Dec 31, 2023 | 8.94 Mn |
| Sep 30, 2023 | 16.02 Mn |
| Jun 30, 2023 | 13.62 Mn |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 8.67 Mn |
| Sep 30, 2022 | 5.65 Mn |
| Jun 30, 2022 | 7.38 Mn |
| Mar 31, 2022 | -4.47 Mn |
| Dec 31, 2021 | 3.76 Mn |
| Sep 30, 2021 | 4.79 Mn |
API Access
Goosehead Insurance EBITDA 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=ebitda&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();