First Financial Bankshares (FFIN) Operating Expenses (2009 - 2026)
First Financial Bankshares' Operating Expenses came in at $81.05 million for Q3 2026, up 10.0% from $73.67 million a year earlier but down 0.1% from the prior quarter.
First Financial Bankshares (FFIN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, First Financial Bankshares reported Operating Expenses of $316.58 million, up 10.8% year-over-year; for FY2025, it was $293.39 million, up 10.7% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $265.06 million in FY2024 (+11.4%), $237.88 million in FY2023 (+1.3%), $234.78 million in FY2022 (-2.9%) and $241.71 million in FY2021 (+6.0%).
- The five-year range for quarterly Operating Expenses is $57.26 million (Q1 2023) to $81.11 million (Q2 2026).
- Year-over-year, Operating Expenses has increased for 13 consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 13.1%), and the weakest in Q4 2022 (a decline of 6.3%).
- Business Quant data shows FFIN's Operating Expenses at $81.11 million (Q2 2026), $76.77 million (Q1 2026) and $77.66 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | First Financial Bankshares | 4.38 Bn | 1.24 Bn | 171.09 Mn | 81.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.05 Mn |
| Jun 30, 2026 | 81.11 Mn |
| Mar 31, 2026 | 76.77 Mn |
| Dec 31, 2025 | 77.66 Mn |
| Sep 30, 2025 | 73.67 Mn |
| Jun 30, 2025 | 71.74 Mn |
| Mar 31, 2025 | 70.34 Mn |
| Dec 31, 2024 | 70.10 Mn |
| Sep 30, 2024 | 66.01 Mn |
| Jun 30, 2024 | 65.01 Mn |
| Mar 31, 2024 | 63.94 Mn |
| Dec 31, 2023 | 63.48 Mn |
| Sep 30, 2023 | 59.54 Mn |
| Jun 30, 2023 | 57.61 Mn |
| Mar 31, 2023 | 57.26 Mn |
| Dec 31, 2022 | 57.78 Mn |
| Sep 30, 2022 | 59.44 Mn |
| Jun 30, 2022 | 58.33 Mn |
| Mar 31, 2022 | 59.23 Mn |
| Dec 31, 2021 | 61.67 Mn |
First Financial Bankshares 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=operating-expenses&ticker=FFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FFIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=FFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();