Aon (AON) Return on Sales [ROS] (2009 - 2026)
Aon's Return on Sales [ROS] was 21.55% in Q2 2026, up 0.88 percentage points from 20.67% a year earlier but down 12.52 percentage points from the prior quarter.
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Analysis
Aon (AON) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aon's Return on Sales [ROS] was 26.48% through Jun 30, 2026, up 2.40 percentage points year-over-year; for FY2025, it was 25.28%, up 0.85 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +0.15 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 24.43% in FY2024 (-3.87 pp), 28.30% in FY2023 (-1.10 pp), 29.40% in FY2022 (+12.26 pp) and 17.14% in FY2021 (-7.99 pp).
- Quarterly Return on Sales [ROS] has moved between -29.64% (Q3 2021) and 38.05% (Q1 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +0.53 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 51.53 percentage points); the worst was Q3 2021 (a drop of 48.14 percentage points).
- Per Business Quant data, AON's Return on Sales [ROS] in the three quarters before Q2 2026 was 34.07% (Q1 2026), 28.09% (Q4 2025) and 20.42% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | 11.89% |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | 14.54% |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | -30.76% |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | 21.55% |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | -53.77% |
| 10 | Aflac | 60.75 Bn | 35.96 Bn | 2.27 Bn | -20.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.55% |
| Mar 31, 2026 | 34.07% |
| Dec 31, 2025 | 28.09% |
| Sep 30, 2025 | 20.42% |
| Jun 30, 2025 | 20.67% |
| Mar 31, 2025 | 30.89% |
| Dec 31, 2024 | 26.31% |
| Sep 30, 2024 | 16.74% |
| Jun 30, 2024 | 17.45% |
| Mar 31, 2024 | 36.00% |
| Dec 31, 2023 | 23.08% |
| Sep 30, 2023 | 23.40% |
| Jun 30, 2023 | 26.50% |
| Mar 31, 2023 | 38.05% |
| Dec 31, 2022 | 32.33% |
| Sep 30, 2022 | 21.88% |
| Jun 30, 2022 | 23.47% |
| Mar 31, 2022 | 37.25% |
| Dec 31, 2021 | 31.62% |
| Sep 30, 2021 | -29.64% |
API Access
Aon 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=AON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AON", "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=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();