Goosehead Insurance (GSHD) Revenue (2017 - 2026)
Goosehead Insurance (GSHD) posted Revenue of $113.39 million for Q2 2026, up 20.6% from $94.03 million a year earlier and up 21.8% from the prior quarter.
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Analysis
Goosehead Insurance (GSHD) Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Goosehead Insurance was $402.16 million, up 17.7% year-over-year; for FY2025, it was $365.3 million, up 16.2% from FY2024.
- Annual Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In prior years, Goosehead Insurance's Revenue was $314.51 million in FY2024 (+20.4%), $261.28 million in FY2023 (+24.8%), $209.39 million in FY2022 (+38.4%) and $151.31 million in FY2021 (+29.3%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q1 2017.
- On a year-over-year basis, Revenue has increased in each of the last 25 quarters, with growth averaging 21.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 9.8% in Q4 2023 to 49.0% in Q4 2024.
- According to Business Quant data, Revenue for the three prior quarters was $93.08 million (Q1 2026), $105.26 million (Q4 2025) and $90.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 14.50 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 4.25 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 4.00 Bn |
| 10 | Goosehead Insurance | 1.61 Bn | 1.40 Bn | - | 113.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.39 Mn |
| Mar 31, 2026 | 93.08 Mn |
| Dec 31, 2025 | 105.26 Mn |
| Sep 30, 2025 | 90.44 Mn |
| Jun 30, 2025 | 94.03 Mn |
| Mar 31, 2025 | 75.58 Mn |
| Dec 31, 2024 | 93.92 Mn |
| Sep 30, 2024 | 78.04 Mn |
| Jun 30, 2024 | 78.09 Mn |
| Mar 31, 2024 | 64.46 Mn |
| Dec 31, 2023 | 63.01 Mn |
| Sep 30, 2023 | 71.03 Mn |
| Jun 30, 2023 | 69.28 Mn |
| Mar 31, 2023 | 57.96 Mn |
| Dec 31, 2022 | 57.40 Mn |
| Sep 30, 2022 | 57.69 Mn |
| Jun 30, 2022 | 53.02 Mn |
| Mar 31, 2022 | 41.28 Mn |
| Dec 31, 2021 | 40.23 Mn |
| Sep 30, 2021 | 41.68 Mn |
API Access
Goosehead Insurance Revenue 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=revenue&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();