Aflac (AFL) Selling, General & Administrative (2009 - 2026)
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Analysis
Aflac (AFL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,098.17 Bn | 773.46 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 131.33 Bn | 123.03 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 124.08 Bn | 119.08 Bn | 9.04 Bn | - |
| 4 | Travelers Companies | 78.14 Bn | 54.38 Bn | 6.23 Bn | 1.57 Bn |
| 5 | Allstate | 63.45 Bn | 24.70 Bn | 16.28 Bn | - |
| 6 | Aflac | 58.44 Bn | -44.57 Bn | 2.27 Bn | 749.00 Mn |
| 7 | Fairfax Financial Holdings | 48.96 Bn | 53.68 Bn | - | -134.80 Mn |
| 8 | American International | 39.52 Bn | 1.72 Bn | 3.50 Bn | 1.23 Bn |
| 9 | Hartford Insurance | 35.73 Bn | 19.42 Bn | 3.18 Bn | 1.22 Bn |
| 10 | Berkley W R | 25.97 Bn | 21.87 Bn | 1.76 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 749.00 Mn |
| Mar 31, 2026 | 771.00 Mn |
| Dec 31, 2025 | 866.00 Mn |
| Sep 30, 2025 | 781.00 Mn |
| Jun 30, 2025 | 804.00 Mn |
| Mar 31, 2025 | 802.00 Mn |
| Dec 31, 2024 | 835.00 Mn |
| Sep 30, 2024 | 747.00 Mn |
| Jun 30, 2024 | 694.00 Mn |
| Mar 31, 2024 | 739.00 Mn |
| Dec 31, 2023 | 875.00 Mn |
| Sep 30, 2023 | 785.00 Mn |
| Jun 30, 2023 | 728.00 Mn |
| Mar 31, 2023 | 775.00 Mn |
| Dec 31, 2022 | 836.00 Mn |
| Sep 30, 2022 | 779.00 Mn |
| Jun 30, 2022 | 802.00 Mn |
| Mar 31, 2022 | 833.00 Mn |
| Dec 31, 2021 | 959.00 Mn |
| Sep 30, 2021 | 869.00 Mn |
API Access
Aflac Selling, General & Administrative 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=selling-general-and-administrative&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();