C & F Financial Corp (CFFI) Provision for Losses (2011 - 2026)
Analysis
C & F Financial Corp (CFFI) Provision for Losses (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 430,000.00 |
API Access
C & F Financial Corp 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();