Goosehead Insurance (GSHD) Property, Plant & Equipment (Net) (2017 - 2026)
Goosehead Insurance's Property, Plant & Equipment (Net) came in at $21.77 million for Q2 2026, down 0.9% from $21.97 million a year earlier and down 3.2% from the prior quarter.
Goosehead Insurance (GSHD) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Goosehead Insurance's Property, Plant & Equipment (Net) was $21.55 million, down 10.6% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, though with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $24.1 million in FY2024 (-20.5%), $30.32 million in FY2023 (-14.2%), $35.35 million in FY2022 (+41.8%) and $24.93 million in FY2021 (+49.7%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $21.55 million (Q4 2025) to $36.56 million (Q1 2023).
- Year-over-year, Property, Plant & Equipment (Net) has declined for 12 consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2021 (growth of 76.3%), and the weakest in Q1 2024 (a decline of 21.5%).
- Business Quant data shows GSHD's Property, Plant & Equipment (Net) at $22.49 million (Q1 2026), $21.55 million (Q4 2025) and $21.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 411.04 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 922.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 806.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 765.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 761.00 Mn |
| 10 | Goosehead Insurance | 1.62 Bn | 1.40 Bn | - | 21.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.77 Mn |
| Mar 31, 2026 | 22.49 Mn |
| Dec 31, 2025 | 21.55 Mn |
| Sep 30, 2025 | 21.87 Mn |
| Jun 30, 2025 | 21.97 Mn |
| Mar 31, 2025 | 23.46 Mn |
| Dec 31, 2024 | 24.10 Mn |
| Sep 30, 2024 | 25.37 Mn |
| Jun 30, 2024 | 27.01 Mn |
| Mar 31, 2024 | 28.69 Mn |
| Dec 31, 2023 | 30.32 Mn |
| Sep 30, 2023 | 31.71 Mn |
| Jun 30, 2023 | 33.18 Mn |
| Mar 31, 2023 | 36.56 Mn |
| Dec 31, 2022 | 35.35 Mn |
| Sep 30, 2022 | 35.22 Mn |
| Jun 30, 2022 | 27.57 Mn |
| Mar 31, 2022 | 25.26 Mn |
| Dec 31, 2021 | 24.93 Mn |
| Sep 30, 2021 | 21.79 Mn |
Goosehead Insurance Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();