First American Financial (FAF) Change in Taxes (2009 - 2026)
First American Financial's Change in Taxes was $41.3 million in Q2 2026, down 17.2% from $49.9 million a year earlier but up 55.8% from the prior quarter.
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Analysis
First American Financial (FAF) Change in Taxes (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, First American Financial's Change in Taxes was $154.7 million through Jun 30, 2026, up 208.8% year-over-year; for FY2025, it was $149.6 million, up 325.0% from FY2024.
- Change in Taxes shows a five-year compound annual growth rate of 38.8% (FY2020 to FY2025).
- In earlier years, Change in Taxes was $35.2 million in FY2024, -$60.8 million in FY2023, -$130 million in FY2022 and $53 million in FY2021 (+82.8%).
- Quarterly Change in Taxes has moved between -$93.8 million (Q4 2023) and $63.9 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Taxes was higher in three of the last five quarters, with growth averaging 45.7%.
- The best year-over-year quarter for Change in Taxes over five years was Q1 2026 (growth of 107.0%); the worst was Q1 2022 (a decline of 61.4%).
- Per Business Quant data, FAF's Change in Taxes in the three quarters before Q2 2026 was $26.5 million (Q1 2026), $63.9 million (Q4 2025) and $23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.08 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | -132.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -589.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 12.00 Mn |
| 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 | - | -312.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | -116.00 Mn |
| 10 | First American Financial | 6.20 Bn | -4.99 Bn | - | 41.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.30 Mn |
| Mar 31, 2026 | 26.50 Mn |
| Dec 31, 2025 | 63.90 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 49.90 Mn |
| Mar 31, 2025 | 12.80 Mn |
| Dec 31, 2024 | 33.30 Mn |
| Sep 30, 2024 | -45.90 Mn |
| Jun 30, 2024 | 26.90 Mn |
| Mar 31, 2024 | 20.90 Mn |
| Dec 31, 2023 | -93.80 Mn |
| Sep 30, 2023 | -8.50 Mn |
| Jun 30, 2023 | 29.80 Mn |
| Mar 31, 2023 | 11.70 Mn |
| Dec 31, 2022 | -15.60 Mn |
| Sep 30, 2022 | -71.10 Mn |
| Jun 30, 2022 | -68.00 Mn |
| Mar 31, 2022 | 24.70 Mn |
| Dec 31, 2021 | -6.00 Mn |
| Sep 30, 2021 | 58.00 Mn |
API Access
First American Financial Change in Taxes 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=change-in-taxes&ticker=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();