Aflac (AFL) Return on Sales [ROS] (2009 - 2026)
Aflac (AFL) recorded Return on Sales [ROS] of -20.82% in Q2 2026, up 7.74 percentage points from -28.56% a year earlier but down 6.85 percentage points from the prior quarter.
Aflac (AFL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Aflac's Return on Sales [ROS] came in at -6.84% as of Jun 30, 2026, up 17.10 percentage points year-over-year; for FY2025, it was -16.08%, down 10.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +18.40 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -5.46% in FY2024 (+10.31 pp), -15.77% in FY2023 (+5.22 pp), -20.99% in FY2022 (+3.45 pp) and -24.44% in FY2021 (+10.04 pp).
- Quarterly Return on Sales [ROS] has ranged from -52.97% in Q1 2025 to 11.77% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +1.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 51.95 percentage points in Q4 2024, against a drop of 55.92 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -13.97% (Q1 2026), -6.78% (Q4 2025) and 11.77% (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 | Aflac | 56.03 Bn | 31.24 Bn | 2.27 Bn | -20.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.82% |
| Mar 31, 2026 | -13.97% |
| Dec 31, 2025 | -6.78% |
| Sep 30, 2025 | 11.77% |
| Jun 30, 2025 | -28.56% |
| Mar 31, 2025 | -52.97% |
| Dec 31, 2024 | 3.92% |
| Sep 30, 2024 | -33.77% |
| Jun 30, 2024 | 1.91% |
| Mar 31, 2024 | 2.94% |
| Dec 31, 2023 | -48.03% |
| Sep 30, 2023 | -1.11% |
| Jun 30, 2023 | -5.28% |
| Mar 31, 2023 | -16.83% |
| Dec 31, 2022 | -38.40% |
| Sep 30, 2022 | -15.88% |
| Jun 30, 2022 | -10.65% |
| Mar 31, 2022 | -22.98% |
| Dec 31, 2021 | -27.89% |
| Sep 30, 2021 | -28.57% |
Aflac 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=AFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AFL", "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=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();