American International (AIG) Operating Interest Expenses (2010 - 2024)
American International (AIG) reported Operating Interest Expenses of $1.2 billion for Q1 2024, up 15.8% from $1.04 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
American International (AIG) Operating Interest Expenses (2010 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, American International's Operating Interest Expenses came in at $4.59 billion, up 17.5% year-over-year; for FY2023, it came in at $4.42 billion, up 18.2% from FY2022.
- Operating Interest Expenses has a five-year compound annual growth rate of 3.3% (FY2018 to FY2023).
- By year, Operating Interest Expenses came in at $3.74 billion in FY2022 (+4.9%), $3.57 billion in FY2021 (-1.4%), $3.62 billion in FY2020 (-5.5%) and $3.83 billion in FY2019 (+2.1%).
- The Q1 2024 figure ranks as the highest quarterly Operating Interest Expenses in data going back to Q1 2010.
- Year over year, Operating Interest Expenses has now increased in each of the last 11 quarters, with growth averaging 13.3% over the last eight quarters.
- The high point for year-over-year Operating Interest Expenses in five years was Q4 2023 (growth of 19.3%); the low point was Q4 2020 (a decline of 9.8%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $1.19 billion (Q4 2023), $1.14 billion (Q3 2023) and $1.06 billion (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.81 Bn | 84.40 Bn | 9.13 Bn | - |
| 2 | Progressive | 128.85 Bn | 104.68 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.25 Bn | 82.41 Bn | - | - |
| 4 | Travelers Companies | 83.64 Bn | 59.88 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.05 Bn | -17.83 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.19 Bn | 60.59 Bn | - | - |
| 7 | Metlife | 65.65 Bn | -41.13 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Allstate | 64.10 Bn | 25.37 Bn | 8.73 Bn | - |
| 9 | Aon | 62.71 Bn | 55.92 Bn | - | - |
| 10 | American International | 42.99 Bn | 5.17 Bn | 3.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.19 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 995.00 Mn |
| Sep 30, 2022 | 959.00 Mn |
| Jun 30, 2022 | 911.00 Mn |
| Mar 31, 2022 | 879.00 Mn |
| Dec 31, 2021 | 907.00 Mn |
| Sep 30, 2021 | 923.00 Mn |
| Jun 30, 2021 | 872.00 Mn |
| Mar 31, 2021 | 868.00 Mn |
| Dec 31, 2020 | 865.00 Mn |
| Sep 30, 2020 | 882.00 Mn |
| Jun 30, 2020 | 918.00 Mn |
| Mar 31, 2020 | 957.00 Mn |
| Dec 31, 2019 | 959.00 Mn |
| Sep 30, 2019 | 966.00 Mn |
| Jun 30, 2019 | 967.00 Mn |
API Access
American International Operating 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=operating-interest-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-interest-expenses&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();