Aflac (AFL) Total Liabilities (2009 - 2026)
Aflac (AFL) recorded Total Liabilities of $85.65 billion in Q2 2026, down 12.2% from $97.54 billion a year earlier and down 0.8% from the prior quarter.
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Analysis
Aflac (AFL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Aflac reported Total Liabilities of $86.98 billion, down 4.9% from FY2024.
- Annual Total Liabilities has declined for four straight years, with a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $91.47 billion in FY2024 (-12.7%), $104.74 billion in FY2023 (-6.1%), $111.6 billion in FY2022 (-20.6%) and $140.51 billion in FY2021 (+6.8%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2009.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with an average decline of 6.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 6.8% in Q4 2021, against a decline of 20.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.32 billion (Q1 2026), $86.98 billion (Q4 2025) and $93.62 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.42 Bn | 81.00 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 130.16 Bn | 105.99 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 85.43 Bn | 76.92 Bn | - | 44.25 Bn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 73.87 Bn | -21.02 Bn | - | 731.27 Bn |
| 6 | Metlife | 64.46 Bn | -42.32 Bn | 7.82 Bn | 731.63 Bn |
| 7 | Allstate | 60.64 Bn | 21.91 Bn | 8.73 Bn | 91.06 Bn |
| 8 | Arthur J. Gallagher | 60.18 Bn | 54.58 Bn | - | 58.06 Bn |
| 9 | Aon | 58.76 Bn | 51.98 Bn | - | 43.66 Bn |
| 10 | Aflac | 58.70 Bn | 33.91 Bn | 2.27 Bn | 85.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.65 Bn |
| Mar 31, 2026 | 86.32 Bn |
| Dec 31, 2025 | 86.98 Bn |
| Sep 30, 2025 | 93.62 Bn |
| Jun 30, 2025 | 97.54 Bn |
| Mar 31, 2025 | 93.92 Bn |
| Dec 31, 2024 | 91.47 Bn |
| Sep 30, 2024 | 103.61 Bn |
| Jun 30, 2024 | 94.12 Bn |
| Mar 31, 2024 | 101.21 Bn |
| Dec 31, 2023 | 104.74 Bn |
| Sep 30, 2023 | 102.44 Bn |
| Jun 30, 2023 | 110.19 Bn |
| Mar 31, 2023 | 115.18 Bn |
| Dec 31, 2022 | 111.60 Bn |
| Sep 30, 2022 | 108.15 Bn |
| Jun 30, 2022 | 116.07 Bn |
| Mar 31, 2022 | 129.49 Bn |
| Dec 31, 2021 | 140.51 Bn |
| Sep 30, 2021 | 127.05 Bn |
API Access
Aflac Total Liabilities 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=total-liabilities&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();