Colony Bankcorp (CBAN) Professional Fees (2019 - 2026)
Colony Bankcorp (CBAN) recorded Professional Fees of $869,000 in Q3 2026, down 12.9% from $998,000 a year earlier and down 7.5% from the prior quarter.
Colony Bankcorp (CBAN) Professional Fees (2019 - 2026) Analysis & Trends
On a TTM basis, Colony Bankcorp's Professional Fees came in at $1.19 million as of Sep 30, 2026, down 60.8% year-over-year; for FY2025, it was $748,000, down 73.5% from FY2024.
- Annual Professional Fees has declined for three straight years, with a five-year compound annual growth rate of -19.8% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $2.83 million in FY2024 (-8.8%), $3.1 million in FY2023 (-9.8%), $3.43 million in FY2022 (+24.8%) and $2.75 million in FY2021 (+22.2%).
- Quarterly Professional Fees has ranged from -$1.74 million in Q4 2025 to $1.12 million in Q1 2026 over the past five years.
- On a year-over-year basis, Professional Fees rose in four of the last seven quarters, with growth averaging 9.1%.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 78.8% in Q1 2022, against a decline of 28.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $939,000 (Q2 2026), $1.12 million (Q1 2026) and -$1.74 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Colony Bankcorp | 431.19 Mn | -471.18 Mn | - | 869,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 869,000.00 |
| Jun 30, 2026 | 939,000.00 |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | -1.74 Mn |
| Sep 30, 2025 | 998,000.00 |
| Jun 30, 2025 | 742,000.00 |
| Mar 31, 2025 | 748,000.00 |
| Dec 31, 2024 | 539,000.00 |
| Sep 30, 2024 | 748,000.00 |
| Jun 30, 2024 | 704,000.00 |
| Mar 31, 2024 | 834,000.00 |
| Dec 31, 2023 | 749,000.00 |
| Sep 30, 2023 | 752,000.00 |
| Jun 30, 2023 | 881,000.00 |
| Mar 31, 2023 | 715,000.00 |
| Dec 31, 2022 | 659,000.00 |
| Sep 30, 2022 | 881,000.00 |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 869,000.00 |
| Dec 31, 2021 | 775,000.00 |
Colony Bankcorp Professional Fees 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=professional-fees&ticker=CBAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=CBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();