American Integrity Insurance (AII) Operating Expenses (2024 - 2026)
American Integrity Insurance (AII) recorded Operating Expenses of $68.75 million in Q2 2026, up 36.4% from $50.4 million a year earlier.
American Integrity Insurance (AII) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, American Integrity Insurance's Operating Expenses came in at $201.2 million as of Jun 30, 2026, up 14.5% year-over-year; for FY2025, it came in at $161.43 million, up 5.3% from FY2024.
- Across earlier years, Operating Expenses came in at $153.32 million in FY2024.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2024.
- On a year-over-year basis, Operating Expenses rose in three of the last five quarters, with growth averaging 20.2%.
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 | American Integrity Insurance | 559.60 Mn | -387.10 Mn | 82.02 Mn | 68.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.75 Mn |
| Dec 31, 2025 | 38.80 Mn |
| Sep 30, 2025 | 43.25 Mn |
| Jun 30, 2025 | 50.40 Mn |
| Mar 31, 2025 | 28.98 Mn |
| Dec 31, 2024 | 56.37 Mn |
| Sep 30, 2024 | 39.99 Mn |
| Jun 30, 2024 | 25.95 Mn |
| Mar 31, 2024 | 31.00 Mn |
American Integrity 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=AII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AII", "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=AII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();