American International (AIG) Selling, General & Administrative (2009 - 2026)
American International's Selling, General & Administrative came in at $1.23 billion for Q2 2026, up 5.9% from $1.16 billion a year earlier and up 8.3% from the prior quarter.
American International (AIG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American International reported Selling, General & Administrative of $5.14 billion, up 3.8% year-over-year; for FY2025, it was $5.05 billion, down 8.6% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $5.53 billion in FY2024 (+2.4%), $5.4 billion in FY2023 (-12.3%), $6.16 billion in FY2022 (-29.4%) and $8.73 billion in FY2021 (+4.0%).
- The five-year range for quarterly Selling, General & Administrative is -$286 million (Q4 2022) to $2.24 billion (Q3 2021).
- Year-over-year, Selling, General & Administrative has increased for three consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 12.5%), and the weakest in Q1 2024 (a decline of 37.5%).
- Business Quant data shows AIG's Selling, General & Administrative at $1.14 billion (Q1 2026), $1.48 billion (Q4 2025) and $1.3 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 1.17 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 | 1.57 Bn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | -902.21 Mn |
| 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 | 1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.48 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.34 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.61 Bn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jun 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.98 Bn |
| Dec 31, 2022 | -286.00 Mn |
| Sep 30, 2022 | 2.08 Bn |
| Jun 30, 2022 | 2.21 Bn |
| Mar 31, 2022 | 2.16 Bn |
| Dec 31, 2021 | 2.18 Bn |
| Sep 30, 2021 | 2.24 Bn |
American International 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=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();