American International (AIG) Total Liabilities (2009 - 2026)
American International (AIG) reported Total Liabilities of $122.84 billion for Q2 2026, down 1.3% from $124.44 billion a year earlier but up 1.4% from the prior quarter.
American International (AIG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, American International posted Total Liabilities of $120.09 billion, up 1.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -25.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $118.77 billion in FY2024 (-75.7%), $488.01 billion in FY2023 (+1.9%), $478.77 billion in FY2022 (-9.2%) and $527.08 billion in FY2021 (+1.5%).
- Five-year quarterly Total Liabilities spans a low of $118.77 billion in Q4 2024 and a high of $529.14 billion in Q3 2021.
- Year over year, Total Liabilities gained in three of the last eight quarters, with an average decline of 28.2%.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 3.2%); the low point was Q1 2025 (a decline of 75.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $121.11 billion (Q1 2026), $120.09 billion (Q4 2025) and $122.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 540.28 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 205.00 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 93.26 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 44.90 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 113.09 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 723.97 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 54.99 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 54.94 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 95.54 Bn |
| 10 | American International | 42.70 Bn | -1.79 Bn | 3.42 Bn | 122.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.95 Bn |
| Jun 30, 2026 | 122.84 Bn |
| Mar 31, 2026 | 121.11 Bn |
| Dec 31, 2025 | 120.09 Bn |
| Sep 30, 2025 | 122.30 Bn |
| Jun 30, 2025 | 124.44 Bn |
| Mar 31, 2025 | 120.41 Bn |
| Dec 31, 2024 | 118.77 Bn |
| Sep 30, 2024 | 124.38 Bn |
| Jun 30, 2024 | 123.42 Bn |
| Mar 31, 2024 | 495.01 Bn |
| Dec 31, 2023 | 488.01 Bn |
| Sep 30, 2023 | 478.31 Bn |
| Jun 30, 2023 | 490.65 Bn |
| Mar 31, 2023 | 490.32 Bn |
| Dec 31, 2022 | 478.77 Bn |
| Sep 30, 2022 | 480.82 Bn |
| Jun 30, 2022 | 491.71 Bn |
| Mar 31, 2022 | 514.85 Bn |
| Dec 31, 2021 | 527.08 Bn |
American International Total Liabilities 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=total-liabilities&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();