Goosehead Insurance (GSHD) Selling, General & Administrative (2017 - 2026)
Goosehead Insurance's Selling, General & Administrative came in at $28.42 million for Q2 2026, up 15.3% from $24.65 million a year earlier and up 18.6% from the prior quarter.
Goosehead Insurance (GSHD) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goosehead Insurance reported Selling, General & Administrative of $91.56 million, up 21.7% year-over-year; for FY2025, it came in at $81.38 million, up 21.3% from FY2024.
- Selling, General & Administrative has increased in each of the last eight years, with a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $67.07 million in FY2024 (+8.0%), $62.11 million in FY2023 (+17.4%), $52.89 million in FY2022 (+32.9%) and $39.79 million in FY2021 (+59.3%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- Year-over-year, Selling, General & Administrative has increased for eight consecutive quarters, with growth averaging 20.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 72.7%), and the weakest in Q2 2024 (a decline of 2.8%).
- Business Quant data shows GSHD's Selling, General & Administrative at $23.97 million (Q1 2026), $22.06 million (Q4 2025) and $17.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Goosehead Insurance | 1.62 Bn | 1.40 Bn | - | 28.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.42 Mn |
| Mar 31, 2026 | 23.97 Mn |
| Dec 31, 2025 | 22.06 Mn |
| Sep 30, 2025 | 17.11 Mn |
| Jun 30, 2025 | 24.65 Mn |
| Mar 31, 2025 | 17.56 Mn |
| Dec 31, 2024 | 17.83 Mn |
| Sep 30, 2024 | 15.20 Mn |
| Jun 30, 2024 | 16.86 Mn |
| Mar 31, 2024 | 17.18 Mn |
| Dec 31, 2023 | 14.09 Mn |
| Sep 30, 2023 | 14.83 Mn |
| Jun 30, 2023 | 17.33 Mn |
| Mar 31, 2023 | 15.86 Mn |
| Dec 31, 2022 | 13.53 Mn |
| Sep 30, 2022 | 13.46 Mn |
| Jun 30, 2022 | 12.38 Mn |
| Mar 31, 2022 | 13.52 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Sep 30, 2021 | 10.14 Mn |
Goosehead Insurance Selling, General & Administrative 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=selling-general-and-administrative&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();