Hagerty (HGTY) Operating Leases (2022 - 2025)
Hagerty (HGTY) posted Operating Leases of $40.51 million for Q3 2025, down 9.7% from $44.87 million a year earlier and down 1.0% from the prior quarter.
Hagerty (HGTY) Operating Leases (2022 - 2025) Analysis & Trends
At the end of FY2024, Hagerty's Operating Leases came in at $43.18 million, down 14.4% from FY2023.
- In prior years, Hagerty's Operating Leases was $50.46 million in FY2023 (-37.5%) and $80.77 million in FY2022.
- The Q3 2025 figure stands as the lowest quarterly Operating Leases in data going back to Q4 2022.
- On a year-over-year basis, Operating Leases has declined in each of the last eight quarters, with an average decline of 22.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Leases ranged from 9.7% (Q3 2025) to 39.4% (Q2 2024).
- According to Business Quant data, Operating Leases for the three prior quarters was $40.9 million (Q2 2025), $41.96 million (Q1 2025) and $43.18 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.92 Bn | 84.50 Bn | 9.13 Bn |
| 2 | Progressive | 129.13 Bn | 104.97 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.73 Bn | 82.89 Bn | - |
| 4 | Travelers Companies | 83.61 Bn | 59.86 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.04 Bn | -17.85 Bn | - |
| 6 | Arthur J. Gallagher | 66.22 Bn | 60.63 Bn | - |
| 7 | Metlife | 65.62 Bn | -41.16 Bn | 7.82 Bn |
| 8 | Allstate | 64.10 Bn | 25.37 Bn | 8.73 Bn |
| 9 | Aon | 63.05 Bn | 56.26 Bn | - |
| 10 | Hagerty | 1.58 Bn | 614.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 40.51 Mn |
| Jun 30, 2025 | 40.90 Mn |
| Mar 31, 2025 | 41.96 Mn |
| Dec 31, 2024 | 43.18 Mn |
| Sep 30, 2024 | 44.87 Mn |
| Jun 30, 2024 | 46.69 Mn |
| Mar 31, 2024 | 49.20 Mn |
| Dec 31, 2023 | 50.46 Mn |
| Sep 30, 2023 | 52.02 Mn |
| Jun 30, 2023 | 77.08 Mn |
| Mar 31, 2023 | 78.85 Mn |
| Dec 31, 2022 | 80.77 Mn |
Hagerty Operating Leases 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=operating-leases&ticker=HGTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();