American International (AIG) EBITDA Margin (2009 - 2026)
American International (AIG) recorded EBITDA Margin of -19.49% in Q2 2026, down 4.46 percentage points from -15.03% a year earlier but up 5.15 percentage points from the prior quarter.
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Analysis
American International (AIG) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, American International's EBITDA Margin came in at -22.27% as of Jun 30, 2026, up 1.40 percentage points year-over-year; for FY2024, it was -26.05%, up 5.03 percentage points from FY2023.
- Annual EBITDA Margin has a five-year change of +4.32 percentage points (FY2019 to FY2024).
- Across earlier years, EBITDA Margin came in at -31.09% in FY2023 (-4.99 pp), -26.10% in FY2022 (-14.79 pp), -11.30% in FY2021 (+52.67 pp) and -63.97% in FY2020 (-33.60 pp).
- Quarterly EBITDA Margin has ranged from -144.84% in Q1 2023 to 11.96% in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in four of the last seven quarters, with an average year-over-year change of +3.21 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 121.12 percentage points in Q1 2024, against a drop of 156.80 percentage points in Q1 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | -43.55% |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 21.07% |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | -9.87% |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 23.56% |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | - |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | -30.30% |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 26.80% |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn | -19.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.49% |
| Mar 31, 2026 | -24.65% |
| Dec 31, 2025 | -29.74% |
| Sep 30, 2025 | -29.07% |
| Jun 30, 2025 | -15.03% |
| Mar 31, 2025 | -29.01% |
| Dec 31, 2024 | -17.81% |
| Sep 30, 2024 | -33.60% |
| Jun 30, 2024 | -29.73% |
| Mar 31, 2024 | -23.72% |
| Dec 31, 2023 | -33.82% |
| Sep 30, 2023 | -26.24% |
| Jun 30, 2023 | -30.33% |
| Mar 31, 2023 | -144.84% |
| Sep 30, 2022 | -7.24% |
| Jun 30, 2022 | -0.02% |
| Mar 31, 2022 | 11.96% |
| Dec 31, 2021 | 4.55% |
| Sep 30, 2021 | -19.97% |
| Jun 30, 2021 | -46.72% |
API Access
American International EBITDA 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=ebitda-margin&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();