C & F Financial (CFFI) Retained Earnings (2010 - 2026)
C & F Financial's Retained Earnings was $280.88 million in Q2 2026, up 8.9% from $257.9 million a year earlier and up 2.6% from the prior quarter.
C & F Financial (CFFI) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at C & F Financial came in at $268.7 million, up 8.4% from FY2024.
- Retained Earnings has now increased for 15 consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $247.81 million in FY2024 (+6.0%), $233.76 million in FY2023 (+7.6%), $217.21 million in FY2022 (+12.1%) and $193.81 million in FY2021 (+13.5%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 57 straight quarters, with growth averaging 7.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.7% (Q3 2024) to 15.3% (Q3 2021).
- Per Business Quant data, CFFI's Retained Earnings in the three quarters before Q2 2026 was $273.88 million (Q1 2026), $268.7 million (Q4 2025) and $263.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | C & F Financial | 322.27 Mn | 8.11 Mn | - | 280.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.88 Mn |
| Mar 31, 2026 | 273.88 Mn |
| Dec 31, 2025 | 268.70 Mn |
| Sep 30, 2025 | 263.48 Mn |
| Jun 30, 2025 | 257.90 Mn |
| Mar 31, 2025 | 251.69 Mn |
| Dec 31, 2024 | 247.81 Mn |
| Sep 30, 2024 | 243.19 Mn |
| Jun 30, 2024 | 239.23 Mn |
| Mar 31, 2024 | 235.68 Mn |
| Dec 31, 2023 | 233.76 Mn |
| Sep 30, 2023 | 230.17 Mn |
| Jun 30, 2023 | 225.87 Mn |
| Mar 31, 2023 | 221.06 Mn |
| Dec 31, 2022 | 217.21 Mn |
| Sep 30, 2022 | 208.36 Mn |
| Jun 30, 2022 | 203.35 Mn |
| Mar 31, 2022 | 198.02 Mn |
| Dec 31, 2021 | 193.81 Mn |
| Sep 30, 2021 | 189.30 Mn |
C & F Financial Retained Earnings 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=retained-earnings&ticker=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();