American International (AIG) Operating Margin (2009 - 2026)
American International (AIG) reported Operating Margin of -32.75% for Q2 2026, down 5.26 percentage points from -27.49% a year earlier but up 4.67 percentage points from the prior quarter.
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Analysis
American International (AIG) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American International's Operating Margin came in at -38.70%, down 2.10 percentage points year-over-year; for FY2025, it was -38.41%, up 0.85 percentage points from FY2024.
- Operating Margin has a five-year change of +34.99 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -39.25% in FY2024 (+5.58 pp), -44.83% in FY2023 (-5.87 pp), -38.97% in FY2022 (-18.96 pp) and -20.01% in FY2021 (+53.38 pp).
- Five-year quarterly Operating Margin spans a low of -162.51% in Q1 2023 and a high of 4.38% in Q1 2022.
- Year over year, Operating Margin gained in four of the last eight quarters, with an average year-over-year change of +1.36 percentage points.
- The high point for year-over-year Operating Margin in five years was Q1 2024 (a gain of 126.21 percentage points); the low point was Q1 2023 (a drop of 166.89 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -37.41% (Q1 2026), -43.10% (Q4 2025) and -42.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | American International | 42.70 Bn | -1.79 Bn | 3.42 Bn | 16.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.39% |
| Jun 30, 2026 | 19.25% |
| Mar 31, 2026 | 16.35% |
| Dec 31, 2025 | 11.69% |
| Sep 30, 2025 | 12.80% |
| Jun 30, 2025 | 23.18% |
| Mar 31, 2025 | 15.51% |
| Dec 31, 2024 | 23.06% |
| Sep 30, 2024 | 11.27% |
| Jun 30, 2024 | 11.31% |
| Mar 31, 2024 | 35.16% |
| Dec 31, 2023 | 27.44% |
| Sep 30, 2023 | 32.65% |
| Jun 30, 2023 | 27.93% |
| Mar 31, 2023 | -162.51% |
| Sep 30, 2022 | 36.76% |
| Jun 30, 2022 | 37.34% |
| Mar 31, 2022 | 45.88% |
| Dec 31, 2021 | 52.87% |
| Sep 30, 2021 | 26.70% |
API Access
American International Operating Margin 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-margin&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();