Goosehead Insurance (GSHD) Cash & Equivalents (2017 - 2026)
Goosehead Insurance's Cash & Equivalents was $23.66 million in Q2 2026, down 74.4% from $92.39 million a year earlier and down 7.8% from the prior quarter.
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Analysis
Goosehead Insurance (GSHD) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Goosehead Insurance came in at $34.39 million, down 36.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $54.28 million in FY2024 (+29.4%), $41.96 million in FY2023 (+46.0%), $28.74 million in FY2022 (+0.8%) and $28.53 million in FY2021 (+14.5%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q2 2024.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 28.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2025 (growth of 290.8%); the worst was Q2 2026 (a decline of 74.4%).
- Per Business Quant data, GSHD's Cash & Equivalents in the three quarters before Q2 2026 was $25.65 million (Q1 2026), $34.39 million (Q4 2025) and $51.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.70 Bn |
| 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 | 19.30 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 1.39 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 1.06 Bn |
| 10 | Goosehead Insurance | 1.62 Bn | 1.40 Bn | - | 23.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.66 Mn |
| Mar 31, 2026 | 25.65 Mn |
| Dec 31, 2025 | 34.39 Mn |
| Sep 30, 2025 | 51.59 Mn |
| Jun 30, 2025 | 92.39 Mn |
| Mar 31, 2025 | 70.21 Mn |
| Dec 31, 2024 | 54.28 Mn |
| Sep 30, 2024 | 47.54 Mn |
| Jun 30, 2024 | 23.64 Mn |
| Mar 31, 2024 | 51.09 Mn |
| Dec 31, 2023 | 41.96 Mn |
| Sep 30, 2023 | 35.20 Mn |
| Jun 30, 2023 | 19.13 Mn |
| Mar 31, 2023 | 24.59 Mn |
| Dec 31, 2022 | 28.74 Mn |
| Sep 30, 2022 | 46.11 Mn |
| Jun 30, 2022 | 31.12 Mn |
| Mar 31, 2022 | 21.19 Mn |
| Dec 31, 2021 | 28.53 Mn |
| Sep 30, 2021 | 25.51 Mn |
API Access
Goosehead Insurance Cash & Equivalents 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=cash-and-equivalents&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();