Goosehead Insurance (GSHD) Change in Accured Expenses (2017 - 2026)
Goosehead Insurance's Change in Accured Expenses came in at $2.61 million for Q2 2026, up 3.4% from $2.53 million a year earlier.
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Analysis
Goosehead Insurance (GSHD) Change in Accured Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goosehead Insurance reported Change in Accured Expenses of $4.28 million, down 28.4% year-over-year; for FY2025, it was $6.91 million, up 36.6% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $5.06 million in FY2024, -$109,000 in FY2023, $2.51 million in FY2022 (-37.2%) and $4 million in FY2021 (+57.6%).
- The five-year range for quarterly Change in Accured Expenses is -$5.55 million (Q1 2026) to $6.6 million (Q4 2025).
- Year-over-year, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 101.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2024 (growth of 453.9%), and the weakest in Q3 2023 (a decline of 87.1%).
- Business Quant data shows GSHD's Change in Accured Expenses at -$5.55 million (Q1 2026), $6.6 million (Q4 2025) and $626,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 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 | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Goosehead Insurance | 1.62 Bn | 1.40 Bn | - | 2.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.61 Mn |
| Mar 31, 2026 | -5.55 Mn |
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 626,000.00 |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | -2.84 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 202,000.00 |
| Mar 31, 2024 | -1.44 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 631,000.00 |
| Jun 30, 2023 | -118,000.00 |
| Mar 31, 2023 | -3.48 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 4.89 Mn |
| Jun 30, 2022 | -989,000.00 |
| Mar 31, 2022 | -3.76 Mn |
| Dec 31, 2021 | 1.91 Mn |
| Sep 30, 2021 | 3.74 Mn |
API Access
Goosehead Insurance Change in Accured Expenses 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=change-in-accured-expenses&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();