Hagerty (HGTY) Total Non-Current Liabilities (2020 - 2026)
Hagerty (HGTY) reported Total Non-Current Liabilities of $1.4 billion for Q2 2026, down 3.8% from $1.46 billion a year earlier but up 10.3% from the prior quarter.
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Analysis
Hagerty (HGTY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Hagerty posted Total Non-Current Liabilities of $1.37 billion, up 21.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 66.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.13 billion in FY2024 (-1.5%), $1.14 billion in FY2023 (+311.7%), $277.79 million in FY2022 (+0.9%) and $275.25 million in FY2021 (+153.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $198.02 million in Q2 2022 and a high of $1.48 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 9.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 468.6%); the low point was Q2 2026 (a decline of 3.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.27 billion (Q1 2026), $1.37 billion (Q4 2025) and $1.48 billion (Q3 2025).
Peer Set
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 | Hagerty | 4.61 Bn | 4.09 Bn | - | 1.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.37 Bn |
| Sep 30, 2025 | 1.48 Bn |
| Jun 30, 2025 | 1.46 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.23 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 899.14 Mn |
| Dec 31, 2022 | 277.79 Mn |
| Sep 30, 2022 | 234.43 Mn |
| Jun 30, 2022 | 198.02 Mn |
| Mar 31, 2022 | 219.01 Mn |
| Dec 31, 2021 | 275.25 Mn |
| Dec 31, 2020 | 108.64 Mn |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();