Muncy Columbia Financial (CCFN) Retained Earnings (2009 - 2026)
Muncy Columbia Financial's Retained Earnings was $131.26 million in Q3 2026, up 15.6% from $113.56 million a year earlier and up 3.5% from the prior quarter.
Muncy Columbia Financial (CCFN) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Muncy Columbia Financial came in at $119.36 million, up 15.6% from FY2024.
- Retained Earnings has now increased for three consecutive years, with a three-year compound annual growth rate of 9.8% (FY2022 to FY2025).
- In earlier years, Retained Earnings was $103.27 million in FY2024 (+14.1%), $90.51 million in FY2023 (+0.4%) and $90.16 million in FY2022.
- The Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for ten straight quarters, with growth averaging 14.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 0.4% (Q4 2023) to 17.0% (Q2 2026).
- Per Business Quant data, CCFN's Retained Earnings in the three quarters before Q3 2026 was $126.87 million (Q2 2026), $121.36 million (Q1 2026) and $119.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 177.98 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 8.95 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 241.40 Bn |
| 10 | Muncy Columbia Financial | 308.70 Mn | 137.66 Mn | - | 131.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 131.26 Mn |
| Jun 30, 2026 | 126.87 Mn |
| Mar 31, 2026 | 121.36 Mn |
| Dec 31, 2025 | 119.36 Mn |
| Sep 30, 2025 | 113.56 Mn |
| Jun 30, 2025 | 108.43 Mn |
| Mar 31, 2025 | 106.02 Mn |
| Dec 31, 2024 | 103.27 Mn |
| Sep 30, 2024 | 99.60 Mn |
| Jun 30, 2024 | 96.11 Mn |
| Mar 31, 2024 | 92.98 Mn |
| Dec 31, 2023 | 90.51 Mn |
| Sep 30, 2023 | 92.59 Mn |
| Jun 30, 2023 | 92.32 Mn |
| Dec 31, 2022 | 90.16 Mn |
| Dec 31, 2013 | 48.59 Mn |
| Sep 30, 2013 | 47.36 Mn |
| Jun 30, 2013 | 46.42 Mn |
| Mar 31, 2013 | 45.69 Mn |
| Dec 31, 2012 | 44.71 Mn |
Muncy Columbia 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=CCFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "CCFN", "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=CCFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();