First American Financial (FAF) EBITDA (2009 - 2026)
First American Financial's EBITDA came in at $383.2 million for Q2 2026, up 33.9% from $286.2 million a year earlier and up 48.4% from the prior quarter.
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Analysis
First American Financial (FAF) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First American Financial reported EBITDA of $1.37 billion, up 124.3% year-over-year; for FY2025, it was $1.2 billion, up 129.6% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $522.4 million in FY2024 (-12.3%), $595.4 million in FY2023 (+1.6%), $586.2 million in FY2022 (-68.7%) and $1.87 billion in FY2021 (+65.8%).
- The five-year range for quarterly EBITDA is -$55 million (Q3 2024) to $662 million (Q3 2021).
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 47.0% over the last six quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 122.5%), and the weakest in Q3 2022 (a decline of 90.6%).
- Business Quant data shows FAF's EBITDA at $258.3 million (Q1 2026), $387.2 million (Q4 2025) and $341.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 1.14 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 940.00 Mn |
| 10 | First American Financial | 6.53 Bn | -4.65 Bn | - | 383.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.20 Mn |
| Mar 31, 2026 | 258.30 Mn |
| Dec 31, 2025 | 387.20 Mn |
| Sep 30, 2025 | 341.70 Mn |
| Jun 30, 2025 | 286.20 Mn |
| Mar 31, 2025 | 184.30 Mn |
| Dec 31, 2024 | 195.60 Mn |
| Sep 30, 2024 | -55.00 Mn |
| Jun 30, 2024 | 239.10 Mn |
| Mar 31, 2024 | 142.70 Mn |
| Dec 31, 2023 | 121.30 Mn |
| Sep 30, 2023 | 81.40 Mn |
| Jun 30, 2023 | 258.50 Mn |
| Mar 31, 2023 | 134.20 Mn |
| Dec 31, 2022 | 130.80 Mn |
| Sep 30, 2022 | 62.20 Mn |
| Jun 30, 2022 | 202.70 Mn |
| Mar 31, 2022 | 190.50 Mn |
| Dec 31, 2021 | 393.10 Mn |
| Sep 30, 2021 | 662.00 Mn |
API Access
First 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=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FAF", "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=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();