American International (AIG) Accumulated Expenses (2023 - 2026)
American International (AIG) reported Accumulated Expenses of $7.45 billion for Q2 2026, down 3.1% from $7.69 billion a year earlier but up 15.1% from the prior quarter.
American International (AIG) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, American International posted Accumulated Expenses of $5.45 billion, down 10.0% from FY2024.
- By year, Accumulated Expenses came in at $6.05 billion in FY2024 (-2.7%) and $6.22 billion in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $5.45 billion in Q4 2025 and a high of $7.73 billion in Q2 2024.
- Year over year, Accumulated Expenses has now declined in each of the last five quarters, with an average decline of 5.9% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.48 billion (Q1 2026), $5.45 billion (Q4 2025) and $6.21 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - |
| 10 | American International | 43.85 Bn | 6.03 Bn | 3.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.45 Bn |
| Mar 31, 2026 | 6.48 Bn |
| Dec 31, 2025 | 5.45 Bn |
| Sep 30, 2025 | 6.21 Bn |
| Jun 30, 2025 | 7.69 Bn |
| Mar 31, 2025 | 7.34 Bn |
| Dec 31, 2024 | 6.05 Bn |
| Sep 30, 2024 | 6.72 Bn |
| Jun 30, 2024 | 7.73 Bn |
| Dec 31, 2023 | 6.22 Bn |
American International Accumulated 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=accumulated-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();