American Financial (AFG) EBITDA (2009 - 2026)
American Financial (AFG) posted EBITDA of $340 million for Q2 2026, up 35.5% from $251 million a year earlier and up 28.8% from the prior quarter.
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Analysis
American Financial (AFG) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at American Financial was $1.29 billion, up 21.9% year-over-year; for FY2025, it was $1.16 billion, down 3.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In prior years, American Financial's EBITDA was $1.21 billion in FY2024 (+4.7%), $1.15 billion in FY2023 (-5.9%), $1.22 billion in FY2022 (-19.6%) and $1.52 billion in FY2021 (+138.6%).
- Quarterly EBITDA has run from a low of $219 million in Q1 2025 to a high of $472 million in Q4 2021 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 40.7%; the weakest was Q1 2025, with a decline of 32.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $264 million (Q1 2026), $401 million (Q4 2025) and $288 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | - |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 940.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -5.63 Bn |
| 10 | American Financial | 11.45 Bn | 1.98 Bn | 1.03 Bn | 340.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 340.00 Mn |
| Mar 31, 2026 | 264.00 Mn |
| Dec 31, 2025 | 401.00 Mn |
| Sep 30, 2025 | 288.00 Mn |
| Jun 30, 2025 | 251.00 Mn |
| Mar 31, 2025 | 219.00 Mn |
| Dec 31, 2024 | 341.00 Mn |
| Sep 30, 2024 | 250.00 Mn |
| Jun 30, 2024 | 290.00 Mn |
| Mar 31, 2024 | 324.00 Mn |
| Dec 31, 2023 | 353.00 Mn |
| Sep 30, 2023 | 240.00 Mn |
| Jun 30, 2023 | 274.00 Mn |
| Mar 31, 2023 | 284.00 Mn |
| Dec 31, 2022 | 368.00 Mn |
| Sep 30, 2022 | 235.00 Mn |
| Jun 30, 2022 | 233.00 Mn |
| Mar 31, 2022 | 387.00 Mn |
| Dec 31, 2021 | 472.00 Mn |
| Sep 30, 2021 | 294.00 Mn |
API Access
American Financial EBITDA 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=ebitda&ticker=AFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();