C & F Financial (CFFI) Provision for Losses (2011 - 2026)
C & F Financial (CFFI) recorded Provision for Losses of $2.65 million in Q2 2026, up 26.2% from $2.1 million a year earlier but down 26.4% from the prior quarter.
C & F Financial (CFFI) Provision for Losses (2011 - 2026) Analysis & Trends
On a TTM basis, C & F Financial's Provision for Losses came in at $12.85 million as of Jun 30, 2026, up 4.0% year-over-year; for FY2025, it was $11.75 million, down 11.3% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $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 Losses has ranged from -$328,000 in Q1 2022 to $3.7 million in Q3 2024 over the past five years.
- On a year-over-year basis, Provision for Losses has increased for three consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 280.6% in Q4 2022, against a decline of 87.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.6 million (Q1 2026), $3.6 million (Q4 2025) and $3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | C & F Financial | 346.76 Mn | 82.12 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 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-losses&ticker=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();