John Marshall Bancorp (JMSB) Tax Provisions (2021 - 2026)
John Marshall Bancorp (JMSB) posted Tax Provisions of $2.15 million for Q3 2026, up 47.6% from $1.46 million a year earlier and up 7.2% from the prior quarter.
John Marshall Bancorp (JMSB) Tax Provisions (2021 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at John Marshall Bancorp was $7.75 million, up 37.4% year-over-year; for FY2025, it came in at $6.15 million, up 29.3% from FY2024.
- Annual Tax Provisions shows a four-year compound annual growth rate of -2.5% (FY2021 to FY2025).
- In prior years, John Marshall Bancorp's Tax Provisions was $4.76 million in FY2024 (+68.5%), $2.82 million in FY2023 (-65.8%), $8.26 million in FY2022 (+21.5%) and $6.8 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Tax Provisions since Q4 2022.
- On a year-over-year basis, Tax Provisions has increased in each of the last seven quarters, with growth averaging 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2026, with growth of 47.6%; the weakest was Q4 2023, with a decline of 42.6%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $2.01 million (Q2 2026), $1.75 million (Q1 2026) and $1.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | John Marshall Bancorp | 325.14 Mn | -316.97 Mn | - | 2.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.15 Mn |
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 1.84 Mn |
| Sep 30, 2025 | 1.46 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.37 Mn |
| Dec 31, 2024 | 1.33 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Sep 30, 2023 | -1.53 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.74 Mn |
| Dec 31, 2022 | 2.40 Mn |
| Sep 30, 2022 | 2.14 Mn |
| Jun 30, 2022 | 1.85 Mn |
| Mar 31, 2022 | 1.87 Mn |
| Dec 31, 2021 | 1.93 Mn |
John Marshall Bancorp Tax Provisions 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=tax-provisions&ticker=JMSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();