Hagerty (HGTY) EV to EBITDA (2021 - 2026)
Hagerty's EV to EBITDA came in at 45.02 for Q2 2026, up 57.8% from 28.53 a year earlier and up 63.1% from the prior quarter.
Hagerty (HGTY) EV to EBITDA (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hagerty reported EV to EBITDA of 37.96, up 67.9% year-over-year; for FY2025, it was 27.61, down 13.4% from FY2024.
- Going back by year, EV to EBITDA was 31.88 in FY2024 (-36.4%), 50.10 in FY2023 and 417.84 in FY2021.
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q4 2023.
- Year-over-year, EV to EBITDA increased in two of the last eight quarters, with an average decline of 17.6%.
- The fastest year-over-year change in EV to EBITDA over five years came in Q2 2026 (growth of 57.8%), and the weakest in Q3 2024 (a decline of 66.9%).
- Business Quant data shows HGTY's EV to EBITDA at 27.59 (Q1 2026), 26.38 (Q4 2025) and 28.18 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Hagerty | 4.61 Bn | 4.09 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.02 |
| Mar 31, 2026 | 27.59 |
| Dec 31, 2025 | 26.38 |
| Sep 30, 2025 | 28.18 |
| Jun 30, 2025 | 28.53 |
| Mar 31, 2025 | 27.40 |
| Dec 31, 2024 | 31.88 |
| Sep 30, 2024 | 38.45 |
| Jun 30, 2024 | 35.97 |
| Mar 31, 2024 | 39.97 |
| Dec 31, 2023 | 50.10 |
| Sep 30, 2023 | 116.17 |
| Mar 31, 2022 | 515.29 |
| Dec 31, 2021 | 417.84 |
Hagerty EV to 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=ev-to-ebitda&ticker=HGTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();