American Financial (AFG) Return on Sales [ROS] (2009 - 2026)
American Financial's Return on Sales [ROS] was 15.57% in Q2 2026, up 3.66 percentage points from 11.90% a year earlier and up 2.68 percentage points from the prior quarter.
American Financial (AFG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Financial's Return on Sales [ROS] was 14.52% through Jun 30, 2026, up 2.77 percentage points year-over-year; for FY2025, it came in at 13.13%, down 0.38 percentage points from FY2024.
- Return on Sales [ROS] has now declined for four consecutive years, though with a five-year change of +7.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 13.50% in FY2024 (-0.21 pp), 13.71% in FY2023 (-2.24 pp), 15.95% in FY2022 (-4.42 pp) and 20.38% in FY2021 (+14.50 pp).
- Quarterly Return on Sales [ROS] has moved between 9.67% (Q3 2024) and 25.31% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +0.24 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 12.65 percentage points); the worst was Q1 2023 (a drop of 7.56 percentage points).
- Per Business Quant data, AFG's Return on Sales [ROS] in the three quarters before Q2 2026 was 12.89% (Q1 2026), 18.37% (Q4 2025) and 11.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | American Financial | 11.53 Bn | 2.06 Bn | 1.03 Bn | 15.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.57% |
| Mar 31, 2026 | 12.89% |
| Dec 31, 2025 | 18.37% |
| Sep 30, 2025 | 11.50% |
| Jun 30, 2025 | 11.90% |
| Mar 31, 2025 | 10.61% |
| Dec 31, 2024 | 14.89% |
| Sep 30, 2024 | 9.67% |
| Jun 30, 2024 | 14.26% |
| Mar 31, 2024 | 15.95% |
| Dec 31, 2023 | 16.08% |
| Sep 30, 2023 | 10.12% |
| Jun 30, 2023 | 13.86% |
| Mar 31, 2023 | 15.17% |
| Dec 31, 2022 | 17.94% |
| Sep 30, 2022 | 10.58% |
| Jun 30, 2022 | 13.39% |
| Mar 31, 2022 | 22.73% |
| Dec 31, 2021 | 25.31% |
| Sep 30, 2021 | 15.22% |
American Financial 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=AFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AFG", "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=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();