Goosehead Insurance (GSHD) Total Liabilities (2017 - 2026)
Goosehead Insurance (GSHD) reported Total Liabilities of $595.37 million for Q2 2026, up 5.0% from $567.18 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Goosehead Insurance (GSHD) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Goosehead Insurance posted Total Liabilities of $577.65 million, up 61.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $358.58 million in FY2024 (+6.1%), $338.11 million in FY2023 (-4.8%), $354.98 million in FY2022 (+4.6%) and $339.48 million in FY2021 (+51.4%).
- Five-year quarterly Total Liabilities spans a low of $322.82 million in Q3 2021 and a high of $597 million in Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 33.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 90.6%); the low point was Q3 2023 (a decline of 9.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $597 million (Q1 2026), $577.65 million (Q4 2025) and $574.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 58.06 Bn |
| 10 | Goosehead Insurance | 1.56 Bn | 1.35 Bn | - | 595.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 595.37 Mn |
| Mar 31, 2026 | 597.00 Mn |
| Dec 31, 2025 | 577.65 Mn |
| Sep 30, 2025 | 574.32 Mn |
| Jun 30, 2025 | 567.18 Mn |
| Mar 31, 2025 | 558.07 Mn |
| Dec 31, 2024 | 358.58 Mn |
| Sep 30, 2024 | 355.82 Mn |
| Jun 30, 2024 | 357.94 Mn |
| Mar 31, 2024 | 337.97 Mn |
| Dec 31, 2023 | 338.11 Mn |
| Sep 30, 2023 | 335.70 Mn |
| Jun 30, 2023 | 336.63 Mn |
| Mar 31, 2023 | 347.57 Mn |
| Dec 31, 2022 | 354.98 Mn |
| Sep 30, 2022 | 369.65 Mn |
| Jun 30, 2022 | 350.03 Mn |
| Mar 31, 2022 | 343.17 Mn |
| Dec 31, 2021 | 339.48 Mn |
| Sep 30, 2021 | 322.82 Mn |
API Access
Goosehead Insurance Total Liabilities 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=total-liabilities&ticker=GSHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();