Hagerty (HGTY) EBITDA (2021 - 2026)
Hagerty's EBITDA was $11.95 million in Q2 2026, down 78.9% from $56.53 million a year earlier.
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Analysis
Hagerty (HGTY) EBITDA (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hagerty's EBITDA was $93.94 million through Jun 30, 2026, down 25.6% year-over-year; for FY2025, it came in at $176.71 million, up 67.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- In earlier years, EBITDA was $105.32 million in FY2024 (+87.4%), $56.22 million in FY2023, -$33.68 million in FY2022 and $12.07 million in FY2021 (-56.3%).
- Quarterly EBITDA has moved between -$26.18 million (Q4 2022) and $56.53 million (Q2 2025) over five years.
- Compared with a year earlier, EBITDA was higher in five of the last seven quarters, with growth averaging 79.9%.
- The best year-over-year quarter for EBITDA over five years was Q4 2024 (growth of 241.8%); the worst was Q2 2026 (a decline of 78.9%).
- Per Business Quant data, HGTY's EBITDA in the three quarters before Q2 2026 was -$11.23 million (Q1 2026), $49.49 million (Q4 2025) and $43.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | -10.28 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 1.45 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | -1.20 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 943.00 Mn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | - |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | -5.63 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 1.14 Bn |
| 10 | Hagerty | 1.58 Bn | 617.49 Mn | - | 11.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.93 Mn |
| Mar 31, 2026 | -12.59 Mn |
| Dec 31, 2025 | 48.83 Mn |
| Sep 30, 2025 | 42.56 Mn |
| Jun 30, 2025 | 55.40 Mn |
| Mar 31, 2025 | 34.03 Mn |
| Dec 31, 2024 | 13.55 Mn |
| Sep 30, 2024 | 18.29 Mn |
| Jun 30, 2024 | 47.31 Mn |
| Mar 31, 2024 | 22.78 Mn |
| Dec 31, 2023 | 4.44 Mn |
| Sep 30, 2023 | 26.87 Mn |
| Jun 30, 2023 | 27.65 Mn |
| Mar 31, 2023 | -2.75 Mn |
| Dec 31, 2022 | -26.18 Mn |
| Sep 30, 2022 | -12.33 Mn |
| Jun 30, 2022 | 10.69 Mn |
| Mar 31, 2022 | -5.86 Mn |
| Dec 31, 2021 | -14.14 Mn |
| Sep 30, 2021 | 7.64 Mn |
API Access
Hagerty EBITDA 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=ebitda&ticker=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();