American International (AIG) Return on Sales [ROS] (2009 - 2026)
American International (AIG) reported Return on Sales [ROS] 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.
American International (AIG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American International's Return on Sales [ROS] 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.
- Return on Sales [ROS] has a five-year change of +34.99 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] 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 Return on Sales [ROS] spans a low of -162.51% in Q1 2023 and a high of 4.38% in Q1 2022.
- Year over year, Return on Sales [ROS] 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 Return on Sales [ROS] 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,178.60 Bn | -238.88 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 140.37 Bn | 92.42 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 133.48 Bn | 109.32 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 94.69 Bn | 87.08 Bn | - | 17.70% |
| 5 | Travelers Companies | 84.57 Bn | 60.82 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 77.66 Bn | -16.05 Bn | - | 11.89% |
| 7 | Arthur J. Gallagher | 69.43 Bn | 63.86 Bn | - | 14.54% |
| 8 | Metlife | 66.04 Bn | -40.44 Bn | 7.82 Bn | -53.77% |
| 9 | Allstate | 65.83 Bn | 27.08 Bn | 8.73 Bn | -30.76% |
| 10 | American International | 43.57 Bn | 5.77 Bn | 3.50 Bn | -32.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.75% |
| Mar 31, 2026 | -37.41% |
| Dec 31, 2025 | -43.10% |
| Sep 30, 2025 | -42.15% |
| Jun 30, 2025 | -27.49% |
| Mar 31, 2025 | -41.78% |
| Dec 31, 2024 | -31.60% |
| Sep 30, 2024 | -46.27% |
| Jun 30, 2024 | -43.45% |
| Mar 31, 2024 | -36.30% |
| Dec 31, 2023 | -48.35% |
| Sep 30, 2023 | -38.20% |
| Jun 30, 2023 | -41.59% |
| Mar 31, 2023 | -162.51% |
| Dec 31, 2022 | -38.97% |
| Sep 30, 2022 | -15.32% |
| Jun 30, 2022 | -7.75% |
| Mar 31, 2022 | 4.38% |
| Dec 31, 2021 | -2.16% |
| Sep 30, 2021 | -29.47% |
American International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();