American Financial (AFG) Interest Expenses (2009 - 2026)
American Financial (AFG) posted Interest Expenses of $24 million for Q2 2026, up 26.3% from $19 million a year earlier and up 4.3% from the prior quarter.
American Financial (AFG) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at American Financial was $89 million, up 17.1% year-over-year; for FY2025, it was $80 million, up 5.3% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, American Financial's Interest Expenses was $76 million in FY2024 (unchanged), $76 million in FY2023 (-10.6%), $85 million in FY2022 (-9.6%) and $94 million in FY2021 (+6.8%).
- On a year-over-year basis, Interest Expenses has increased in each of the last three quarters, with growth averaging 8.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2026, with growth of 26.3%; the weakest was Q3 2022, with a decline of 20.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $23 million (Q1 2026), $23 million (Q4 2025) and $19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | American Financial | 11.34 Bn | 1.86 Bn | 1.03 Bn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 19.00 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 19.00 Mn |
| Sep 30, 2024 | 19.00 Mn |
| Jun 30, 2024 | 19.00 Mn |
| Mar 31, 2024 | 19.00 Mn |
| Dec 31, 2023 | 19.00 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 23.00 Mn |
| Mar 31, 2022 | 23.00 Mn |
| Dec 31, 2021 | 23.00 Mn |
| Sep 30, 2021 | 24.00 Mn |
American Financial Interest Expenses 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=interest-expenses&ticker=AFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();