Aflac (AFL) Long-Term Debt Repayments (2011 - 2026)
Aflac (AFL) reported Long-Term Debt Repayments of $400 million for Q1 2026.
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Analysis
Aflac (AFL) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
For FY2025, Aflac posted Long-Term Debt Repayments of $84 million, down 56.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -24.8% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $194 million in FY2024, $1.42 billion in FY2022 (+102.3%) and $700 million in FY2021 (+100.0%).
- The Q1 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.34 Bn | 87.98 Bn | 8.67 Bn | - |
| 2 | Progressive | 136.64 Bn | 136.64 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 98.05 Bn | 90.21 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 84.07 Bn | 84.07 Bn | - | - |
| 5 | Manulife Financial | 76.36 Bn | -18.52 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.85 Bn | 71.85 Bn | - | - |
| 7 | Aon | 70.83 Bn | 50.04 Bn | - | - |
| 8 | Allstate | 67.61 Bn | 28.88 Bn | 8.73 Bn | - |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 230.00 Mn |
| 10 | Aflac | 62.72 Bn | 37.94 Bn | 2.27 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 400.00 Mn |
| Sep 30, 2025 | 84.00 Mn |
| Dec 31, 2022 | 450.00 Mn |
| Sep 30, 2022 | 966.00 Mn |
| Jun 30, 2021 | 700.00 Mn |
| Mar 31, 2020 | 350.00 Mn |
| Dec 31, 2018 | 550.00 Mn |
| Dec 31, 2017 | 501.00 Mn |
| Sep 30, 2017 | 4.00 Mn |
| Jun 30, 2017 | 2.00 Mn |
| Mar 31, 2017 | 654.00 Mn |
| Dec 31, 2016 | 378.00 Mn |
| Sep 30, 2016 | 231.00 Mn |
| Jun 30, 2016 | 1.00 Mn |
| Sep 30, 2015 | 422.00 Mn |
| Sep 30, 2014 | 335.00 Mn |
| Dec 31, 2012 | 1.00 Mn |
| Sep 30, 2012 | 1.00 Mn |
| Jun 30, 2012 | 338.00 Mn |
| Mar 31, 2012 | 1.00 Mn |
API Access
Aflac Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();