American International (AIG) Revenue (2009 - 2026)
American International (AIG) posted Revenue of $7.09 billion for Q2 2026, down 0.1% from $7.09 billion a year earlier but up 6.5% from the prior quarter.
American International (AIG) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at American International was $26.64 billion, down 4.2% year-over-year; for FY2025, it came in at $26.78 billion, down 1.7% from FY2024.
- Annual Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In prior years, American International's Revenue was $27.25 billion in FY2024 (-2.5%), $27.94 billion in FY2023 (-6.9%), $30 billion in FY2022 (-42.5%) and $52.16 billion in FY2021 (+19.3%).
- Quarterly Revenue has run from a low of -$12.61 billion in Q4 2022 to a high of $14.94 billion in Q1 2022 over five years.
- On a year-over-year basis, Revenue has declined in each of the last four quarters, with an average decline of 0.7% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2021, with growth of 46.6%; the weakest was Q1 2023, with a decline of 55.1%.
- According to Business Quant data, Revenue for the three prior quarters was $6.65 billion (Q1 2026), $6.55 billion (Q4 2025) and $6.35 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 15.82 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 23.61 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 6.86 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 12.15 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 14.50 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 4.00 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 18.60 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 4.25 Bn |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn | 7.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.09 Bn |
| Mar 31, 2026 | 6.65 Bn |
| Dec 31, 2025 | 6.55 Bn |
| Sep 30, 2025 | 6.35 Bn |
| Jun 30, 2025 | 7.09 Bn |
| Mar 31, 2025 | 6.78 Bn |
| Dec 31, 2024 | 7.18 Bn |
| Sep 30, 2024 | 6.75 Bn |
| Jun 30, 2024 | 6.56 Bn |
| Mar 31, 2024 | 6.76 Bn |
| Dec 31, 2023 | 6.53 Bn |
| Sep 30, 2023 | 7.27 Bn |
| Jun 30, 2023 | 7.44 Bn |
| Mar 31, 2023 | 6.71 Bn |
| Dec 31, 2022 | -12.61 Bn |
| Sep 30, 2022 | 14.00 Bn |
| Jun 30, 2022 | 13.66 Bn |
| Mar 31, 2022 | 14.94 Bn |
| Dec 31, 2021 | 14.19 Bn |
| Sep 30, 2021 | 12.84 Bn |
American International Revenue 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=revenue&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();