Colony Bankcorp (CBAN) Occupancy Expense (2009 - 2026)
Colony Bankcorp (CBAN) posted Occupancy Expense of $2.1 million for Q3 2026, up 21.2% from $1.73 million a year earlier but down 0.5% from the prior quarter.
Colony Bankcorp (CBAN) Occupancy Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Occupancy Expense at Colony Bankcorp was $2.75 million, down 58.6% year-over-year; for FY2025, it came in at $1.58 million, down 74.3% from FY2024.
- Annual Occupancy Expense has declined for three consecutive years, with a five-year compound annual growth rate of -21.5% (FY2020 to FY2025).
- In prior years, Colony Bankcorp's Occupancy Expense was $6.15 million in FY2024 (-2.1%), $6.28 million in FY2023 (-3.8%), $6.53 million in FY2022 (+6.3%) and $6.15 million in FY2021 (+15.8%).
- Quarterly Occupancy Expense has run from a low of -$3.42 million in Q4 2025 to a high of $2.11 million in Q2 2026 over five years.
- On a year-over-year basis, Occupancy Expense has increased in each of the last three quarters, with growth averaging 15.7% over the last seven quarters.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q4 2021, with growth of 47.9%; the weakest was Q4 2022, with a decline of 16.1%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $2.11 million (Q2 2026), $1.96 million (Q1 2026) and -$3.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Colony Bankcorp | 431.19 Mn | -471.18 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.10 Mn |
| Jun 30, 2026 | 2.11 Mn |
| Mar 31, 2026 | 1.96 Mn |
| Dec 31, 2025 | -3.42 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.47 Mn |
| Mar 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 1.54 Mn |
| Sep 30, 2023 | 1.62 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 1.66 Mn |
| Sep 30, 2022 | 1.65 Mn |
| Jun 30, 2022 | 1.61 Mn |
| Mar 31, 2022 | 1.62 Mn |
| Dec 31, 2021 | 1.98 Mn |
Colony Bankcorp Occupancy Expense 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=occupancy-expense&ticker=CBAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "CBAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=CBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();