C & F Financial (CFFI) Provision for Credit Losses (2009 - 2026)
C & F Financial (CFFI) posted Provision for Credit Losses of $2.75 million for Q3 2026, down 8.3% from $3 million a year earlier but up 3.8% from the prior quarter.
C & F Financial (CFFI) Provision for Credit Losses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Provision for Credit Losses at C & F Financial was $12.6 million, up 8.2% year-over-year; for FY2025, it was $11.75 million, down 11.3% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, C & F Financial's Provision for Credit Losses was $13.25 million in FY2024 (+60.1%), $8.28 million in FY2023 (+160.9%), $3.17 million in FY2022 (+451.7%) and $575,000 in FY2021 (-94.8%).
- Quarterly Provision for Credit Losses has run from a low of -$328,000 in Q1 2022 to a high of $3.7 million in Q3 2024 over five years.
- On a year-over-year basis, Provision for Credit Losses increased in four of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q4 2022, with growth of 280.6%; the weakest was Q4 2021, with a decline of 69.6%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $2.65 million (Q2 2026), $3.6 million (Q1 2026) and $3.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 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 | 2.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.85 Mn |
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 3.05 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 3.70 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 2.05 Mn |
| Dec 31, 2022 | 1.77 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 530,000.00 |
| Mar 31, 2022 | -328,000.00 |
| Dec 31, 2021 | 465,000.00 |
C & F Financial Provision for Credit Losses 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=provision-for-credit-losses&ticker=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();