American International (AIG) Retained Earnings (2009 - 2026)
American International (AIG) reported Retained Earnings of $38.39 billion for Q2 2026, up 5.4% from $36.42 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
American International (AIG) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, American International posted Retained Earnings of $37.19 billion, up 6.0% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- By year, Retained Earnings came in at $35.08 billion in FY2024 (-6.5%), $37.52 billion in FY2023 (+7.5%), $34.89 billion in FY2022 (+46.7%) and $23.79 billion in FY2021 (+53.4%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings since Q1 2024.
- Year over year, Retained Earnings has now increased in each of the last five quarters, with growth averaging 1.0% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q3 2022 (growth of 62.4%); the low point was Q3 2024 (a decline of 8.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.7 billion (Q1 2026), $37.19 billion (Q4 2025) and $36.7 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.97 Bn | 84.55 Bn | 9.13 Bn | 71.68 Bn |
| 2 | Progressive | 128.88 Bn | 104.72 Bn | 9.04 Bn | 32.26 Bn |
| 3 | Marsh & Mclennan Companies | 91.00 Bn | 83.16 Bn | - | 29.16 Bn |
| 4 | Travelers Companies | 82.99 Bn | 59.24 Bn | 6.23 Bn | 58.35 Bn |
| 5 | Manulife Financial | 75.62 Bn | -19.26 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.34 Bn | 60.74 Bn | - | 6.59 Bn |
| 7 | Metlife | 64.90 Bn | -41.88 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Allstate | 63.75 Bn | 25.02 Bn | 8.73 Bn | 67.50 Bn |
| 9 | Aon | 63.11 Bn | 56.32 Bn | - | 82.00 Mn |
| 10 | American International | 43.29 Bn | 5.47 Bn | 3.50 Bn | 38.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.39 Bn |
| Mar 31, 2026 | 37.70 Bn |
| Dec 31, 2025 | 37.19 Bn |
| Sep 30, 2025 | 36.70 Bn |
| Jun 30, 2025 | 36.42 Bn |
| Mar 31, 2025 | 35.54 Bn |
| Dec 31, 2024 | 35.08 Bn |
| Sep 30, 2024 | 34.43 Bn |
| Jun 30, 2024 | 34.23 Bn |
| Mar 31, 2024 | 38.47 Bn |
| Dec 31, 2023 | 37.52 Bn |
| Sep 30, 2023 | 37.69 Bn |
| Jun 30, 2023 | 35.92 Bn |
| Mar 31, 2023 | 34.69 Bn |
| Dec 31, 2022 | 34.89 Bn |
| Sep 30, 2022 | 33.01 Bn |
| Jun 30, 2022 | 30.55 Bn |
| Mar 31, 2022 | 27.76 Bn |
| Dec 31, 2021 | 23.79 Bn |
| Sep 30, 2021 | 20.32 Bn |
API Access
American International Retained Earnings 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=retained-earnings&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();