Hamilton Insurance (HG) Operating Expenses (2022 - 2026)
Hamilton Insurance's Operating Expenses was $582.31 million in Q2 2026, up 23.8% from $470.3 million a year earlier and up 7.9% from the prior quarter.
Hamilton Insurance (HG) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hamilton Insurance's Operating Expenses was $2.15 billion through Jun 30, 2026, up 7.5% year-over-year; for FY2025, it came in at $2.08 billion, up 21.8% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $1.71 billion in FY2024 (+29.8%), $1.32 billion in FY2023 (+4.4%), $1.26 billion in FY2022 and $1.07 billion in FY2021.
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2025.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 20.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 53.5%); the worst was Q3 2023 (a decline of 9.6%).
- Per Business Quant data, HG's Operating Expenses in the three quarters before Q2 2026 was $539.55 million (Q1 2026), $538.65 million (Q4 2025) and $487.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 3.59 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 3.33 Bn |
| 10 | Hamilton Insurance | 3.63 Bn | -13.64 Bn | - | 582.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 582.31 Mn |
| Mar 31, 2026 | 539.55 Mn |
| Dec 31, 2025 | 538.65 Mn |
| Sep 30, 2025 | 487.36 Mn |
| Jun 30, 2025 | 470.30 Mn |
| Mar 31, 2025 | 584.31 Mn |
| Dec 31, 2024 | 493.80 Mn |
| Sep 30, 2024 | 448.78 Mn |
| Jun 30, 2024 | 385.06 Mn |
| Mar 31, 2024 | 380.72 Mn |
| Dec 31, 2023 | 393.79 Mn |
| Sep 30, 2023 | 341.23 Mn |
| Jun 30, 2023 | 313.00 Mn |
| Mar 31, 2023 | 267.81 Mn |
| Dec 31, 2022 | 311.63 Mn |
| Sep 30, 2022 | 377.32 Mn |
Hamilton Insurance 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=HG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HG", "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=HG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();