American International (AIG) Interest Expenses (2009 - 2026)
American International's Interest Expenses was $100 million in Q2 2026, unchanged from $100 million a year earlier and unchanged from the prior quarter.
American International (AIG) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American International's Interest Expenses was $404 million through Jun 30, 2026, down 2.2% year-over-year; for FY2025, it came in at $396 million, down 14.3% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of -40.0% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $462 million in FY2024 (-90.6%), $4.94 billion in FY2023 (+13.6%), $4.35 billion in FY2022 (-10.8%) and $4.88 billion in FY2021 (-4.0%).
- Quarterly Interest Expenses has moved between $92 million (Q1 2025) and $1.35 billion (Q1 2023) over five years.
- Compared with a year earlier, Interest Expenses was higher in 1 of the last eight quarters, with an average decline of 37.8%.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2023 (growth of 66.7%); the worst was Q1 2025 (a decline of 93.0%).
- Per Business Quant data, AIG's Interest Expenses in the three quarters before Q2 2026 was $100 million (Q1 2026), $105 million (Q4 2025) and $99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 1.36 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 204.00 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 87.00 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 248.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 118.00 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | -565.04 Mn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 168.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 206.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 97.00 Mn |
| 10 | American International | 42.70 Bn | -1.79 Bn | 3.42 Bn | 101.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.00 Mn |
| Jun 30, 2026 | 100.00 Mn |
| Mar 31, 2026 | 100.00 Mn |
| Dec 31, 2025 | 105.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 100.00 Mn |
| Mar 31, 2025 | 92.00 Mn |
| Dec 31, 2024 | 109.00 Mn |
| Sep 30, 2024 | 112.00 Mn |
| Jun 30, 2024 | 125.00 Mn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 1.31 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 787.00 Mn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.20 Bn |
American International Interest Expenses 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=interest-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();