Hagerty (HGTY) Selling, General & Administrative (2021 - 2026)
Hagerty (HGTY) posted Selling, General & Administrative of $95.27 million for Q2 2026, down 41.1% from $161.63 million a year earlier but up 31.6% from the prior quarter.
Hagerty (HGTY) Selling, General & Administrative (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Hagerty was $217.44 million, down 37.3% year-over-year; for FY2025, it was $94.52 million, up 14.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Hagerty's Selling, General & Administrative was $82.5 million in FY2024 (-3.4%), $85.43 million in FY2023 (-4.1%), $89.07 million in FY2022 (+38.0%) and $64.56 million in FY2021 (+26.1%).
- Quarterly Selling, General & Administrative has run from a low of $16.56 million in Q3 2021 to a high of $161.63 million in Q2 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 153.2%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2025, with growth of 656.2%; the weakest was Q1 2026, with a decline of 49.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $72.42 million (Q1 2026), $25.31 million (Q4 2025) and $24.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Hagerty | 4.66 Bn | 4.14 Bn | - | 95.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.27 Mn |
| Mar 31, 2026 | 72.42 Mn |
| Dec 31, 2025 | 25.31 Mn |
| Sep 30, 2025 | 24.45 Mn |
| Jun 30, 2025 | 161.63 Mn |
| Mar 31, 2025 | 144.05 Mn |
| Dec 31, 2024 | 20.43 Mn |
| Sep 30, 2024 | 20.84 Mn |
| Jun 30, 2024 | 21.37 Mn |
| Mar 31, 2024 | 19.86 Mn |
| Dec 31, 2023 | 20.57 Mn |
| Sep 30, 2023 | 22.17 Mn |
| Jun 30, 2023 | 21.32 Mn |
| Mar 31, 2023 | 21.38 Mn |
| Dec 31, 2022 | 25.03 Mn |
| Sep 30, 2022 | 23.85 Mn |
| Jun 30, 2022 | 20.73 Mn |
| Mar 31, 2022 | 19.46 Mn |
| Dec 31, 2021 | 17.93 Mn |
| Sep 30, 2021 | 16.56 Mn |
Hagerty Selling, General & Administrative 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=selling-general-and-administrative&ticker=HGTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();