C & F Financial (CFFI) Operating Expenses (2011 - 2026)
C & F Financial (CFFI) posted Operating Expenses of $27.35 million for Q2 2026, up 11.0% from $24.63 million a year earlier and up 12.5% from the prior quarter.
C & F Financial (CFFI) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at C & F Financial was $100.19 million, up 8.8% 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%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 5.6% 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 Q3 2021, with a decline of 27.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $24.32 million (Q1 2026), $24.24 million (Q4 2025) and $24.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | C & F Financial | 307.77 Mn | -6.38 Mn | - | 27.35 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 22.90 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();