Hagerty (HGTY) Operating Expenses (2021 - 2026)
Hagerty's Operating Expenses was $352.59 million in Q2 2026, up 8.2% from $325.95 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Hagerty (HGTY) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hagerty's Operating Expenses was $1.39 billion through Jun 30, 2026, up 12.4% year-over-year; for FY2025, it came in at $1.32 billion, up 14.8% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.15 billion in FY2024 (+16.8%), $982.35 million in FY2023 (+14.9%), $855.15 million in FY2022 (+35.9%) and $629.15 million in FY2021 (+30.1%).
- Quarterly Operating Expenses has moved between $166.33 million (Q3 2021) and $356.67 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 18 straight quarters, with growth averaging 15.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.9% (Q4 2023) to 43.1% (Q3 2022).
- Per Business Quant data, HGTY's Operating Expenses in the three quarters before Q2 2026 was $332.77 million (Q1 2026), $356.67 million (Q4 2025) and $345.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Hagerty | 4.66 Bn | 4.13 Bn | - | 352.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.59 Mn |
| Mar 31, 2026 | 332.77 Mn |
| Dec 31, 2025 | 356.67 Mn |
| Sep 30, 2025 | 345.68 Mn |
| Jun 30, 2025 | 325.95 Mn |
| Mar 31, 2025 | 295.55 Mn |
| Dec 31, 2024 | 299.90 Mn |
| Sep 30, 2024 | 313.29 Mn |
| Jun 30, 2024 | 275.16 Mn |
| Mar 31, 2024 | 259.48 Mn |
| Dec 31, 2023 | 244.06 Mn |
| Sep 30, 2023 | 259.46 Mn |
| Jun 30, 2023 | 243.99 Mn |
| Mar 31, 2023 | 234.84 Mn |
| Dec 31, 2022 | 232.73 Mn |
| Sep 30, 2022 | 237.98 Mn |
| Jun 30, 2022 | 203.63 Mn |
| Mar 31, 2022 | 180.82 Mn |
| Dec 31, 2021 | 175.39 Mn |
| Sep 30, 2021 | 166.33 Mn |
API Access
Hagerty Operating Expenses 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-expenses&ticker=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();