Hagerty (HGTY) Long-Term Debt Repayments (2021 - 2026)
Hagerty (HGTY) posted Long-Term Debt Repayments of $55.65 million for Q2 2026, compared with $3.61 million a year earlier and up 803.5% from the prior quarter.
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Analysis
Hagerty (HGTY) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Hagerty was $125.19 million, down 19.0% year-over-year; for FY2025, it was $187.88 million, up 107.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 45.2% (FY2020 to FY2025).
- In prior years, Hagerty's Long-Term Debt Repayments was $90.78 million in FY2024 (-35.1%), $139.85 million in FY2023 (+14.2%), $122.5 million in FY2022 (+188.2%) and $42.5 million in FY2021 (+46.0%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last six quarters, with growth averaging 26.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2024, with growth of 293.9%; the weakest was Q1 2026, with a decline of 94.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $6.16 million (Q1 2026), $17.21 million (Q4 2025) and $46.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 141.15 Bn | 87.74 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 133.19 Bn | 109.02 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 94.03 Bn | 86.19 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 85.80 Bn | 62.05 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.78 Bn | -17.11 Bn | - | - |
| 6 | Arthur J. Gallagher | 68.73 Bn | 63.13 Bn | - | - |
| 7 | Allstate | 66.33 Bn | 27.60 Bn | 8.73 Bn | - |
| 8 | Metlife | 66.27 Bn | -40.51 Bn | 7.82 Bn | 230.00 Mn |
| 9 | Aon | 64.87 Bn | 58.08 Bn | - | - |
| 10 | Hagerty | 1.62 Bn | 658.71 Mn | - | 55.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.65 Mn |
| Mar 31, 2026 | 6.16 Mn |
| Dec 31, 2025 | 17.21 Mn |
| Sep 30, 2025 | 46.18 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 120.88 Mn |
| Dec 31, 2024 | 27.57 Mn |
| Sep 30, 2024 | 2.45 Mn |
| Jun 30, 2024 | 15.43 Mn |
| Mar 31, 2024 | 45.33 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 33.60 Mn |
| Jun 30, 2023 | 52.00 Mn |
| Mar 31, 2023 | 47.25 Mn |
| Dec 31, 2022 | 31.00 Mn |
| Jun 30, 2022 | 50.00 Mn |
| Mar 31, 2022 | 41.50 Mn |
| Dec 31, 2021 | 23.50 Mn |
| Sep 30, 2021 | -4.50 Mn |
| Mar 31, 2021 | 23.50 Mn |
API Access
Hagerty Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();