Aflac (AFL) Operating Margin (2009 - 2026)
Aflac (AFL) reported Operating Margin of -20.82% for Q2 2026, up 7.74 percentage points from -28.56% a year earlier but down 6.85 percentage points from the prior quarter.
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Analysis
Aflac (AFL) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aflac's Operating Margin came in at -6.84%, up 17.10 percentage points year-over-year; for FY2025, it was -16.08%, down 10.62 percentage points from FY2024.
- Operating Margin has a five-year change of +18.40 percentage points (FY2020 to FY2025).
- By year, Operating Margin 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).
- Five-year quarterly Operating Margin spans a low of -52.97% in Q1 2025 and a high of 11.77% in Q3 2025.
- Year over year, Operating Margin gained in four of the last eight quarters, with an average year-over-year change of +1.81 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2024 (a gain of 51.95 percentage points); the low point was Q1 2025 (a drop of 55.92 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -13.97% (Q1 2026), -6.78% (Q4 2025) and 11.77% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.86 Bn | 84.44 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 128.76 Bn | 104.60 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 90.36 Bn | 82.52 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 77.24 Bn | -17.64 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.14 Bn | 60.55 Bn | - | - |
| 7 | Metlife | 65.76 Bn | -41.02 Bn | 7.82 Bn | -53.77% |
| 8 | Allstate | 63.73 Bn | 25.00 Bn | 8.73 Bn | -30.76% |
| 9 | Aon | 62.76 Bn | 55.97 Bn | - | 21.55% |
| 10 | Aflac | 60.80 Bn | 36.02 Bn | 2.27 Bn | -20.82% |
Historic Data
Download Data
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% |
API Access
Aflac Operating 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=operating-margin&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();