American Financial (AFG) Total Liabilities (2009 - 2026)
American Financial (AFG) recorded Total Liabilities of $28.21 billion in Q2 2026, up 7.9% from $26.15 billion a year earlier and up 1.9% from the prior quarter.
American Financial (AFG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, American Financial reported Total Liabilities of $27.82 billion, up 5.5% from FY2024.
- Annual Total Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $26.37 billion in FY2024 (+3.3%), $25.53 billion in FY2023 (+3.0%), $24.78 billion in FY2022 (+3.6%) and $23.92 billion in FY2021 (-64.3%).
- Quarterly Total Liabilities has ranged from $23.92 billion in Q4 2021 to $29.1 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 17 consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 7.9% in Q2 2026, against a decline of 64.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.68 billion (Q1 2026), $27.82 billion (Q4 2025) and $29.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | American Financial | 11.45 Bn | 1.98 Bn | 1.03 Bn | 28.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.21 Bn |
| Mar 31, 2026 | 27.68 Bn |
| Dec 31, 2025 | 27.82 Bn |
| Sep 30, 2025 | 29.10 Bn |
| Jun 30, 2025 | 26.15 Bn |
| Mar 31, 2025 | 25.90 Bn |
| Dec 31, 2024 | 26.37 Bn |
| Sep 30, 2024 | 27.88 Bn |
| Jun 30, 2024 | 25.53 Bn |
| Mar 31, 2024 | 25.76 Bn |
| Dec 31, 2023 | 25.53 Bn |
| Sep 30, 2023 | 26.84 Bn |
| Jun 30, 2023 | 25.06 Bn |
| Mar 31, 2023 | 24.54 Bn |
| Dec 31, 2022 | 24.78 Bn |
| Sep 30, 2022 | 25.60 Bn |
| Jun 30, 2022 | 24.02 Bn |
| Mar 31, 2022 | 23.93 Bn |
| Dec 31, 2021 | 23.92 Bn |
| Sep 30, 2021 | 24.70 Bn |
American Financial 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=AFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AFG", "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=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();