First American Financial (FAF) Other Operating Expenses (2009 - 2026)
First American Financial (FAF) reported Other Operating Expenses of $352.1 million for Q2 2026, up 13.8% from $309.4 million a year earlier and up 13.4% from the prior quarter.
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Analysis
First American Financial (FAF) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First American Financial's Other Operating Expenses came in at $1.29 billion, up 11.0% year-over-year; for FY2025, it came in at $1.21 billion, up 8.7% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $1.11 billion in FY2024 (+4.3%), $1.07 billion in FY2023 (-16.1%), $1.27 billion in FY2022 (-3.8%) and $1.32 billion in FY2021 (+18.2%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses since Q4 2021.
- Year over year, Other Operating Expenses has now increased in each of the last ten quarters, with growth averaging 9.2% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 18.1%); the low point was Q1 2023 (a decline of 23.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $310.4 million (Q1 2026), $313.7 million (Q4 2025) and $309.2 million (Q3 2025).
Peer Set
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 | First American Financial | 6.20 Bn | -4.99 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.10 Mn |
| Mar 31, 2026 | 310.40 Mn |
| Dec 31, 2025 | 313.70 Mn |
| Sep 30, 2025 | 309.20 Mn |
| Jun 30, 2025 | 309.40 Mn |
| Mar 31, 2025 | 278.30 Mn |
| Dec 31, 2024 | 290.80 Mn |
| Sep 30, 2024 | 279.80 Mn |
| Jun 30, 2024 | 277.00 Mn |
| Mar 31, 2024 | 265.80 Mn |
| Dec 31, 2023 | 262.20 Mn |
| Sep 30, 2023 | 273.80 Mn |
| Jun 30, 2023 | 272.50 Mn |
| Mar 31, 2023 | 258.50 Mn |
| Dec 31, 2022 | 279.50 Mn |
| Sep 30, 2022 | 312.10 Mn |
| Jun 30, 2022 | 343.30 Mn |
| Mar 31, 2022 | 337.40 Mn |
| Dec 31, 2021 | 363.90 Mn |
| Sep 30, 2021 | 332.00 Mn |
API Access
First 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=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();