Goosehead Insurance (GSHD) Operating Income (2017 - 2026)
Goosehead Insurance (GSHD) posted Operating Income of $26.59 million for Q2 2026, up 69.8% from $15.66 million a year earlier and up 77.3% from the prior quarter.
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Analysis
Goosehead Insurance (GSHD) Operating Income (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Goosehead Insurance was $93.76 million, up 40.9% year-over-year; for FY2025, it was $74.45 million, up 21.8% from FY2024.
- Annual Operating Income has increased for four consecutive years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In prior years, Goosehead Insurance's Operating Income 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 Operating Income has run from a low of -$6.1 million in Q1 2022 to a high of $30.9 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Income has increased in each of the last nine quarters, with growth averaging 116.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q1 2025, with growth of 354.6%; the weakest was Q4 2021, with a decline of 58.3%.
- According to Business Quant data, Operating Income for the three prior quarters was $15 million (Q1 2026), $30.9 million (Q4 2025) and $21.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 915.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Goosehead Insurance | 1.61 Bn | 1.40 Bn | - | 26.59 Mn |
Historic Data
Download Data
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 |
API Access
Goosehead Insurance Operating 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=operating-income&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();