American International (AIG) Long-Term Debt Repayments (2009 - 2026)
American International (AIG) reported Long-Term Debt Repayments of $7 million for Q2 2026, down 99.2% from $839 million a year earlier and down 12.5% from the prior quarter.
American International (AIG) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American International's Long-Term Debt Repayments came in at $28 million, down 99.4% year-over-year; for FY2025, it came in at $1.1 billion, down 73.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $4.1 billion in FY2024 (+77.7%), $2.3 billion in FY2023 (-75.6%), $9.46 billion in FY2022 (+128.0%) and $4.15 billion in FY2021 (+115.7%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1 million in Q1 2023 and a high of $7.59 billion in Q2 2022.
- Year over year, Long-Term Debt Repayments has now declined in each of the last four quarters, with an average decline of 56.6% over the last seven quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 357.1%); the low point was Q4 2025 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8 million (Q1 2026), $11 million (Q4 2025) and $2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | - |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | - |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | - |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn | 7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.00 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 839.00 Mn |
| Mar 31, 2025 | 248.00 Mn |
| Dec 31, 2024 | 3.58 Bn |
| Sep 30, 2024 | 47.00 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 460.00 Mn |
| Dec 31, 2023 | 1.63 Bn |
| Sep 30, 2023 | 224.00 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 1.81 Bn |
| Sep 30, 2022 | 49.00 Mn |
| Jun 30, 2022 | 7.59 Bn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 696.00 Mn |
| Sep 30, 2021 | 1.61 Bn |
American International Long-Term Debt Repayments 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-debt-repayments&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-debt-repayments&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();