Hagerty (HGTY) Revenue (2020 - 2026)
Hagerty (HGTY) recorded Revenue of $354.82 million in Q2 2026, down 6.5% from $379.31 million a year earlier but up 13.8% from the prior quarter.
Hagerty (HGTY) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Hagerty's Revenue came in at $1.43 billion as of Jun 30, 2026, up 5.2% year-over-year; for FY2025, it was $1.46 billion, up 17.3% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.24 billion in FY2024 (+20.9%), $1.03 billion in FY2023 (+30.4%), $787.59 million in FY2022 (+27.2%) and $619.08 million in FY2021 (+23.9%).
- Quarterly Revenue has ranged from $154.38 million in Q4 2021 to $388.1 million in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue rose in six of the last eight quarters, with growth averaging 13.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 38.0% in Q4 2023, against a decline of 6.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $311.83 million (Q1 2026), $388.1 million (Q4 2025) and $379.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 14.50 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 4.25 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 4.00 Bn |
| 10 | Hagerty | 4.61 Bn | 4.09 Bn | - | 354.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354.82 Mn |
| Mar 31, 2026 | 311.83 Mn |
| Dec 31, 2025 | 388.10 Mn |
| Sep 30, 2025 | 379.99 Mn |
| Jun 30, 2025 | 379.31 Mn |
| Mar 31, 2025 | 328.34 Mn |
| Dec 31, 2024 | 333.20 Mn |
| Sep 30, 2024 | 323.37 Mn |
| Jun 30, 2024 | 313.23 Mn |
| Mar 31, 2024 | 271.71 Mn |
| Dec 31, 2023 | 271.95 Mn |
| Sep 30, 2023 | 275.57 Mn |
| Jun 30, 2023 | 261.24 Mn |
| Mar 31, 2023 | 218.35 Mn |
| Dec 31, 2022 | 197.00 Mn |
| Sep 30, 2022 | 216.76 Mn |
| Jun 30, 2022 | 206.02 Mn |
| Mar 31, 2022 | 167.81 Mn |
| Dec 31, 2021 | 154.38 Mn |
| Sep 30, 2021 | 168.09 Mn |
Hagerty Revenue 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=revenue&ticker=HGTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();