Goosehead Insurance (GSHD) Total Non-Current Liabilities (2017 - 2023)
Goosehead Insurance (GSHD) recorded Total Non-Current Liabilities of $218.79 million in Q1 2023, down 8.8% from $239.97 million a year earlier and down 4.6% from the prior quarter.
Goosehead Insurance (GSHD) Total Non-Current Liabilities (2017 - 2023) Analysis & Trends
At the end of FY2022, Goosehead Insurance reported Total Non-Current Liabilities of $229.32 million, down 3.9% from FY2021.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 33.6% (FY2017 to FY2022).
- Across earlier years, Total Non-Current Liabilities came in at $238.52 million in FY2021 (+46.6%), $162.67 million in FY2020 (+97.7%), $82.28 million in FY2019 (+48.4%) and $55.45 million in FY2018 (+2.8%).
- The Q1 2023 figure is the lowest quarterly Total Non-Current Liabilities since Q2 2021.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 31.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 115.5% in Q2 2020, against a decline of 8.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.32 million (Q4 2022), $257.26 million (Q3 2022) and $244.72 million (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 55.80 Bn |
| 10 | Goosehead Insurance | 1.61 Bn | 1.40 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 218.79 Mn |
| Dec 31, 2022 | 229.32 Mn |
| Sep 30, 2022 | 257.26 Mn |
| Jun 30, 2022 | 244.72 Mn |
| Mar 31, 2022 | 239.97 Mn |
| Dec 31, 2021 | 238.52 Mn |
| Sep 30, 2021 | 231.34 Mn |
| Jun 30, 2021 | 185.27 Mn |
| Mar 31, 2021 | 165.23 Mn |
| Dec 31, 2020 | 162.67 Mn |
| Sep 30, 2020 | 127.89 Mn |
| Jun 30, 2020 | 124.62 Mn |
| Mar 31, 2020 | 83.54 Mn |
| Dec 31, 2019 | 82.28 Mn |
| Sep 30, 2019 | 59.61 Mn |
| Jun 30, 2019 | 57.82 Mn |
| Mar 31, 2019 | 73.40 Mn |
| Dec 31, 2018 | 55.45 Mn |
| Sep 30, 2018 | 53.52 Mn |
| Jun 30, 2018 | 54.45 Mn |
Goosehead Insurance Total Non-Current 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-non-current-liabilities&ticker=GSHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GSHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();