Chain Bridge Bancorp (CBNA) Provision for Losses (2023 - 2026)
Chain Bridge Bancorp (CBNA) reported Provision for Losses of -$22,000 for Q2 2026, compared with -$283,000 a year earlier.
Chain Bridge Bancorp (CBNA) Provision for Losses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Chain Bridge Bancorp's Provision for Losses came in at -$483,000; for FY2025, it came in at -$418,000.
- By year, Provision for Losses came in at -$356,000 in FY2024 and $804,000 in FY2023.
- Five-year quarterly Provision for Losses spans a low of -$364,000 in Q1 2026 and a high of $6,000 in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$364,000 (Q1 2026), -$14,000 (Q4 2025) and -$83,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Chain Bridge Bancorp | 334.00 Mn | -2.08 Bn | - | -22,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22,000.00 |
| Mar 31, 2026 | -364,000.00 |
| Dec 31, 2025 | -14,000.00 |
| Sep 30, 2025 | -83,000.00 |
| Jun 30, 2025 | -283,000.00 |
| Mar 31, 2025 | -38,000.00 |
| Dec 31, 2024 | -59,000.00 |
| Sep 30, 2024 | -131,000.00 |
| Jun 30, 2024 | -111,000.00 |
| Mar 31, 2024 | -199,000.00 |
| Sep 30, 2023 | 6,000.00 |
Chain Bridge Bancorp 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=CBNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "CBNA", "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=CBNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();