Goosehead Insurance (GSHD) Other Non-Current Assets (2017 - 2026)
Goosehead Insurance (GSHD) posted Other Non-Current Assets of $8.65 million for Q2 2026, up 38.2% from $6.25 million a year earlier and up 23.2% from the prior quarter.
Goosehead Insurance (GSHD) Other Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Goosehead Insurance's Other Non-Current Assets came in at $6.98 million, up 25.8% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In prior years, Goosehead Insurance's Other Non-Current Assets was $5.55 million in FY2024 (+43.4%), $3.87 million in FY2023 (-7.8%), $4.19 million in FY2022 (-11.6%) and $4.74 million in FY2021 (+20.4%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets in data going back to Q4 2017.
- On a year-over-year basis, Other Non-Current Assets has increased in each of the last nine quarters, with growth averaging 30.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q4 2024, with growth of 43.4%; the weakest was Q2 2023, with a decline of 36.8%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $7.02 million (Q1 2026), $6.98 million (Q4 2025) and $6.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 52.98 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 9.42 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 1.74 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.83 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 4.59 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 79.78 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 11.06 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 815.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 1.73 Bn |
| 10 | Goosehead Insurance | 1.61 Bn | 1.40 Bn | - | 8.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.65 Mn |
| Mar 31, 2026 | 7.02 Mn |
| Dec 31, 2025 | 6.98 Mn |
| Sep 30, 2025 | 6.04 Mn |
| Jun 30, 2025 | 6.25 Mn |
| Mar 31, 2025 | 6.34 Mn |
| Dec 31, 2024 | 5.55 Mn |
| Sep 30, 2024 | 4.57 Mn |
| Jun 30, 2024 | 4.48 Mn |
| Mar 31, 2024 | 4.58 Mn |
| Dec 31, 2023 | 3.87 Mn |
| Sep 30, 2023 | 3.97 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 4.62 Mn |
| Dec 31, 2022 | 4.19 Mn |
| Sep 30, 2022 | 5.39 Mn |
| Jun 30, 2022 | 5.59 Mn |
| Mar 31, 2022 | 6.49 Mn |
| Dec 31, 2021 | 4.74 Mn |
| Sep 30, 2021 | 5.20 Mn |
Goosehead Insurance Other Non-Current Assets 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=other-non-current-assets&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();