Hagerty (HGTY) Total Liabilities (2020 - 2026)
Hagerty (HGTY) recorded Total Liabilities of $1.5 billion in Q2 2026, up 2.5% from $1.46 billion a year earlier and up 8.7% from the prior quarter.
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Analysis
Hagerty (HGTY) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Hagerty reported Total Liabilities of $1.43 billion, up 20.9% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.19 billion in FY2024 (+0.7%), $1.18 billion in FY2023 (+24.6%), $945.15 million in FY2022 (-30.7%) and $1.36 billion in FY2021 (+176.5%).
- Quarterly Total Liabilities has ranged from $131.26 million in Q3 2021 to $1.52 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 627.5% in Q3 2022, against a decline of 30.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.38 billion (Q1 2026), $1.43 billion (Q4 2025) and $1.52 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | Hagerty | 4.64 Bn | 4.12 Bn | - | 1.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Bn |
| Mar 31, 2026 | 1.38 Bn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.46 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.17 Bn |
| Mar 31, 2023 | 945.24 Mn |
| Dec 31, 2022 | 945.15 Mn |
| Sep 30, 2022 | 954.97 Mn |
| Jun 30, 2022 | 845.46 Mn |
| Mar 31, 2022 | 732.70 Mn |
| Dec 31, 2021 | 1.36 Bn |
| Sep 30, 2021 | 131.26 Mn |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "HGTY", "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=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();