C & F Financial (CFFI) Operating Expenses (2011 - 2026)
C & F Financial (CFFI) posted Operating Expenses of $25.28 million for Q3 2026, up 4.1% from $24.29 million a year earlier but down 7.6% from the prior quarter.
C & F Financial (CFFI) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at C & F Financial was $101.18 million, up 8.5% year-over-year; for FY2025, it was $96.22 million, up 7.0% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, C & F Financial's Operating Expenses was $89.93 million in FY2024 (+0.1%), $89.88 million in FY2023 (+8.9%), $82.54 million in FY2022 (-14.5%) and $96.54 million in FY2021 (-1.3%).
- Quarterly Operating Expenses has run from a low of $19.1 million in Q2 2022 to a high of $27.35 million in Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 179.0%; the weakest was Q2 2022, with a decline of 22.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $27.35 million (Q2 2026), $24.32 million (Q1 2026) and $24.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | C & F Financial | 346.76 Mn | 82.12 Mn | - | 25.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.28 Mn |
| Jun 30, 2026 | 27.35 Mn |
| Mar 31, 2026 | 24.32 Mn |
| Dec 31, 2025 | 24.24 Mn |
| Sep 30, 2025 | 24.29 Mn |
| Jun 30, 2025 | 24.63 Mn |
| Mar 31, 2025 | 23.06 Mn |
| Dec 31, 2024 | 21.32 Mn |
| Sep 30, 2024 | 23.09 Mn |
| Jun 30, 2024 | 22.37 Mn |
| Mar 31, 2024 | 23.15 Mn |
| Dec 31, 2023 | 23.07 Mn |
| Sep 30, 2023 | 21.53 Mn |
| Jun 30, 2023 | 22.69 Mn |
| Mar 31, 2023 | 22.60 Mn |
| Dec 31, 2022 | 22.14 Mn |
| Sep 30, 2022 | 21.09 Mn |
| Jun 30, 2022 | 19.10 Mn |
| Mar 31, 2022 | 20.21 Mn |
| Dec 31, 2021 | 23.99 Mn |
C & F Financial 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=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CFFI", "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=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();