John Marshall Bancorp (JMSB) Provision for Losses (2021 - 2026)
John Marshall Bancorp (JMSB) posted Provision for Losses of $258,000 for Q2 2026, down 52.0% from $537,000 a year earlier.
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Analysis
John Marshall Bancorp (JMSB) Provision for Losses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at John Marshall Bancorp was $1.26 million, down 10.2% year-over-year; for FY2025, it came in at $1.69 million.
- Annual Provision for Losses shows a four-year compound annual growth rate of -14.1% (FY2021 to FY2025).
- In prior years, John Marshall Bancorp's Provision for Losses was -$370,000 in FY2024, -$3.25 million in FY2023, $175,000 in FY2022 (-94.4%) and $3.11 million in FY2021.
- Quarterly Provision for Losses has run from a low of -$868,000 in Q2 2023 to a high of $922,000 in Q1 2022 over five years.
- On a year-over-year basis, Provision for Losses increased in 1 of the last four quarters, with an average decline of 9.8%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $23,000 (Q1 2026), $624,000 (Q4 2025) and $357,000 (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 | John Marshall Bancorp | 325.14 Mn | -316.97 Mn | - | -319,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -319,000.00 |
| Jun 30, 2026 | 258,000.00 |
| Mar 31, 2026 | 23,000.00 |
| Dec 31, 2025 | 624,000.00 |
| Sep 30, 2025 | 357,000.00 |
| Jun 30, 2025 | 537,000.00 |
| Mar 31, 2025 | 170,000.00 |
| Dec 31, 2024 | 297,000.00 |
| Sep 30, 2024 | 401,000.00 |
| Jun 30, 2024 | -292,000.00 |
| Mar 31, 2024 | -776,000.00 |
| Dec 31, 2023 | -781,000.00 |
| Sep 30, 2023 | -829,000.00 |
| Jun 30, 2023 | -868,000.00 |
| Mar 31, 2023 | -774,000.00 |
| Dec 31, 2022 | -170,000.00 |
| Sep 30, 2022 | -236,000.00 |
| Jun 30, 2022 | -341,000.00 |
| Mar 31, 2022 | 922,000.00 |
| Dec 31, 2021 | 325,000.00 |
API Access
John Marshall 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=JMSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "JMSB", "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=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();