C & F Financial (CFFI) Wages, Salaries and Other (2009 - 2026)
C & F Financial (CFFI) posted Wages, Salaries and Other of $14.76 million for Q3 2026, up 2.3% from $14.42 million a year earlier but down 10.6% from the prior quarter.
C & F Financial (CFFI) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Wages, Salaries and Other at C & F Financial was $59.64 million, up 9.0% year-over-year; for FY2025, it was $56.78 million, up 6.0% from FY2024.
- Annual Wages, Salaries and Other shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, C & F Financial's Wages, Salaries and Other was $53.58 million in FY2024 (-2.4%), $54.88 million in FY2023 (+14.6%), $47.87 million in FY2022 (-18.3%) and $58.58 million in FY2021 (+1.6%).
- Quarterly Wages, Salaries and Other has run from a low of $10.64 million in Q2 2022 to a high of $16.5 million in Q2 2026 over five years.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last six quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q2 2023, with growth of 31.8%; the weakest was Q2 2022, with a decline of 32.3%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $16.5 million (Q2 2026), $14.36 million (Q1 2026) and $14.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.12 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.75 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | C & F Financial | 350.15 Mn | 86.07 Mn | 37.73 Mn | 14.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.76 Mn |
| Jun 30, 2026 | 16.50 Mn |
| Mar 31, 2026 | 14.36 Mn |
| Dec 31, 2025 | 14.03 Mn |
| Sep 30, 2025 | 14.42 Mn |
| Jun 30, 2025 | 14.85 Mn |
| Mar 31, 2025 | 13.48 Mn |
| Dec 31, 2024 | 11.95 Mn |
| Sep 30, 2024 | 13.92 Mn |
| Jun 30, 2024 | 13.45 Mn |
| Mar 31, 2024 | 14.25 Mn |
| Dec 31, 2023 | 14.04 Mn |
| Sep 30, 2023 | 12.92 Mn |
| Jun 30, 2023 | 14.02 Mn |
| Mar 31, 2023 | 13.90 Mn |
| Dec 31, 2022 | 13.17 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 11.86 Mn |
| Dec 31, 2021 | 13.34 Mn |
C & F Financial Wages, Salaries and Other 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=wages-salaries-and-other&ticker=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();