American International (AIG) Long-Term Investments (2009 - 2026)
American International's Long-Term Investments came in at $91.68 billion for Q2 2026, down 2.4% from $93.97 billion a year earlier but up 0.9% from the prior quarter.
American International (AIG) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, American International's Long-Term Investments was $93 billion, down 0.7% from FY2024.
- Long-Term Investments carries a five-year compound annual growth rate of -23.7% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $93.61 billion in FY2024 (+3.7%), $90.24 billion in FY2023 (-70.8%), $309.15 billion in FY2022 (-14.0%) and $359.29 billion in FY2021 (-0.4%).
- The five-year range for quarterly Long-Term Investments is $90.24 billion (Q4 2023) to $359.29 billion (Q4 2021).
- Year-over-year, Long-Term Investments has declined for six consecutive quarters, with an average decline of 18.1% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q4 2024 (growth of 3.7%), and the weakest in Q1 2025 (a decline of 71.5%).
- Business Quant data shows AIG's Long-Term Investments at $90.85 billion (Q1 2026), $93 billion (Q4 2025) and $93.85 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.49 Bn | 87.07 Bn | 9.13 Bn | 172.65 Bn |
| 2 | Progressive | 132.52 Bn | 108.36 Bn | 9.04 Bn | 97.22 Bn |
| 3 | Marsh & Mclennan Companies | 93.76 Bn | 85.92 Bn | - | - |
| 4 | Travelers Companies | 85.39 Bn | 61.64 Bn | 6.23 Bn | 103.18 Bn |
| 5 | Manulife Financial | 77.05 Bn | -17.83 Bn | - | 40.54 Bn |
| 6 | Arthur J. Gallagher | 68.77 Bn | 63.18 Bn | - | - |
| 7 | Allstate | 65.55 Bn | 26.82 Bn | 8.73 Bn | 87.80 Bn |
| 8 | Metlife | 65.55 Bn | -41.23 Bn | 7.82 Bn | 482.56 Bn |
| 9 | Aon | 64.93 Bn | 58.15 Bn | - | - |
| 10 | American International | 43.77 Bn | 5.96 Bn | 3.50 Bn | 91.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.68 Bn |
| Mar 31, 2026 | 90.85 Bn |
| Dec 31, 2025 | 93.00 Bn |
| Sep 30, 2025 | 93.85 Bn |
| Jun 30, 2025 | 93.97 Bn |
| Mar 31, 2025 | 91.84 Bn |
| Dec 31, 2024 | 93.61 Bn |
| Sep 30, 2024 | 98.08 Bn |
| Jun 30, 2024 | 95.49 Bn |
| Mar 31, 2024 | 322.22 Bn |
| Dec 31, 2023 | 90.24 Bn |
| Sep 30, 2023 | 300.32 Bn |
| Jun 30, 2023 | 306.76 Bn |
| Mar 31, 2023 | 314.94 Bn |
| Dec 31, 2022 | 309.15 Bn |
| Sep 30, 2022 | 306.09 Bn |
| Jun 30, 2022 | 315.06 Bn |
| Mar 31, 2022 | 337.87 Bn |
| Dec 31, 2021 | 359.29 Bn |
| Sep 30, 2021 | 355.60 Bn |
American International Long-Term Investments 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=long-term-investments&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();