Colony Bankcorp (CBAN) Provision for Losses (2009 - 2026)
Colony Bankcorp (CBAN) posted Provision for Losses of $1.9 million for Q2 2026, up 322.2% from $450,000 a year earlier and up 8.6% from the prior quarter.
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Analysis
Colony Bankcorp (CBAN) Provision for Losses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Colony Bankcorp was $3.2 million, down 4.5% year-over-year; for FY2025, it was $1.5 million, down 50.8% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- In prior years, Colony Bankcorp's Provision for Losses was $3.05 million in FY2024 (-15.3%), $3.6 million in FY2023 (+6.8%), $3.37 million in FY2022 (+381.4%) and $700,000 in FY2021 (-89.3%).
- The Q2 2026 figure stands as the highest quarterly Provision for Losses since Q2 2020.
- On a year-over-year basis, Provision for Losses increased in four of the last seven quarters, with growth averaging 42.4%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q3 2022, with growth of 780.0%; the weakest was Q4 2021, with a decline of 96.1%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $1.75 million (Q1 2026), -$1.35 million (Q4 2025) and $900,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Colony Bankcorp | 431.19 Mn | -471.18 Mn | - | 1.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.65 Mn |
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | -1.35 Mn |
| Sep 30, 2025 | 900,000.00 |
| Jun 30, 2025 | 450,000.00 |
| Mar 31, 2025 | 1.50 Mn |
| Dec 31, 2024 | 650,000.00 |
| Sep 30, 2024 | 750,000.00 |
| Jun 30, 2024 | 650,000.00 |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 200,000.00 |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 900,000.00 |
| Sep 30, 2022 | 1.32 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 50,000.00 |
| Dec 31, 2021 | 50,000.00 |
API Access
Colony Bankcorp Provision for Losses 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=provision-for-losses&ticker=CBAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=CBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();