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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.71 Bn | 84.29 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 128.56 Bn | 104.40 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 90.23 Bn | 82.39 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.15 Bn | 59.40 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 77.26 Bn | -17.63 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.24 Bn | 60.64 Bn | - | 58.06 Bn |
| 7 | Metlife | 65.74 Bn | -41.04 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 63.75 Bn | 25.02 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 62.70 Bn | 55.91 Bn | - | 43.66 Bn |
| 10 | American International | 42.96 Bn | 5.15 Bn | 3.50 Bn | 122.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 529.14 Bn |
API Access
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_KEYimport 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();