Muncy Columbia Financial (CCFN) Operating Expenses (2010 - 2026)
Muncy Columbia Financial's Operating Expenses came in at $10.42 million for Q2 2026, up 5.7% from $9.86 million a year earlier and up 2.2% from the prior quarter.
Muncy Columbia Financial (CCFN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Muncy Columbia Financial reported Operating Expenses of $40.69 million, up 2.3% year-over-year; for FY2025, it was $41.02 million, up 8.9% from FY2024.
- Operating Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 29.1% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $37.66 million in FY2024 (+56.2%), $24.11 million in FY2023 (+26.4%) and $19.07 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 14.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2024 (growth of 100.2%), and the weakest in Q1 2026 (a decline of 8.1%).
- Business Quant data shows CCFN's Operating Expenses at $10.2 million (Q1 2026), $10.1 million (Q4 2025) and $9.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Muncy Columbia Financial | 321.07 Mn | 146.63 Mn | - | 10.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.42 Mn |
| Mar 31, 2026 | 10.20 Mn |
| Dec 31, 2025 | 10.10 Mn |
| Sep 30, 2025 | 9.98 Mn |
| Jun 30, 2025 | 9.86 Mn |
| Mar 31, 2025 | 11.09 Mn |
| Dec 31, 2024 | 9.46 Mn |
| Sep 30, 2024 | 9.37 Mn |
| Jun 30, 2024 | 9.19 Mn |
| Mar 31, 2024 | 9.65 Mn |
| Dec 31, 2023 | 9.16 Mn |
| Sep 30, 2023 | 5.27 Mn |
| Jun 30, 2023 | 4.86 Mn |
| Mar 31, 2023 | 4.82 Mn |
| Dec 31, 2022 | 5.04 Mn |
| Sep 30, 2022 | 4.67 Mn |
| Jun 30, 2022 | 4.85 Mn |
| Dec 31, 2013 | 3.49 Mn |
| Sep 30, 2013 | 3.82 Mn |
| Jun 30, 2013 | 3.94 Mn |
Muncy Columbia Financial Operating Expenses 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=operating-expenses&ticker=CCFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CCFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();