American Financial (AFG) Other Operating Expenses (2009 - 2026)
American Financial (AFG) posted Other Operating Expenses of $72 million for Q2 2026, down 4.0% from $75 million a year earlier and unchanged from the prior quarter.
American Financial (AFG) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at American Financial was $325 million, up 2.2% year-over-year; for FY2025, it was $333 million, up 4.4% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, American Financial's Other Operating Expenses was $319 million in FY2024 (+4.6%), $305 million in FY2023 (+19.6%), $255 million in FY2022 (-3.4%) and $264 million in FY2021 (-5.4%).
- Quarterly Other Operating Expenses has run from a low of $55 million in Q3 2021 to a high of $99 million in Q3 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2022, with growth of 30.9%; the weakest was Q3 2021, with a decline of 38.2%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $72 million (Q1 2026), $82 million (Q4 2025) and $99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | American Financial | 11.34 Bn | 1.86 Bn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | 72.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 78.00 Mn |
| Sep 30, 2024 | 88.00 Mn |
| Jun 30, 2024 | 77.00 Mn |
| Mar 31, 2024 | 76.00 Mn |
| Dec 31, 2023 | 78.00 Mn |
| Sep 30, 2023 | 85.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 69.00 Mn |
| Dec 31, 2022 | 68.00 Mn |
| Sep 30, 2022 | 72.00 Mn |
| Jun 30, 2022 | 57.00 Mn |
| Mar 31, 2022 | 58.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Sep 30, 2021 | 55.00 Mn |
American Financial Other Operating 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=other-operating-expenses&ticker=AFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();