Commercial Bancgroup (CBK) Provision for Credit Losses (2024 - 2026)
Commercial Bancgroup (CBK) reported Provision for Credit Losses of $348,000 for Q3 2026, down 12.8% from the prior quarter.
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Analysis
Commercial Bancgroup (CBK) Provision for Credit Losses (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Commercial Bancgroup's Provision for Credit Losses came in at $874,259; for FY2025, it was $463,326, down 74.7% from FY2024.
- By year, Provision for Credit Losses came in at $1.83 million in FY2024.
- Five-year quarterly Provision for Credit Losses spans a low of $5,000 in Q4 2024 and a high of $399,289 in Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 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 | Commercial Bancgroup | 452.96 Mn | 452.96 Mn | - | 348,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 348,000.00 |
| Jun 30, 2026 | 399,289.00 |
| Mar 31, 2026 | 121,970.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 323,000.00 |
API Access
Commercial Bancgroup Provision for Credit 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-credit-losses&ticker=CBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "CBK", "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-credit-losses&ticker=CBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();