John Marshall Bancorp (JMSB) EBITDA Margin (2021 - 2026)
John Marshall Bancorp (JMSB) reported EBITDA Margin of 114.92% for Q2 2026, down 12.38 percentage points from 127.31% a year earlier and down 7.55 percentage points from the prior quarter.
John Marshall Bancorp (JMSB) EBITDA Margin (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, John Marshall Bancorp's EBITDA Margin came in at 122.67%, down 15.07 percentage points year-over-year; for FY2025, it came in at 128.78%, down 24.06 percentage points from FY2024.
- EBITDA Margin has a four-year change of +67.66 percentage points (FY2021 to FY2025).
- By year, EBITDA Margin came in at 152.85% in FY2024 (-12.68 pp), 165.53% in FY2023 (+89.84 pp), 75.69% in FY2022 (+14.57 pp) and 61.12% in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EBITDA Margin since Q1 2023.
- Year over year, EBITDA Margin has now declined in each of the last seven quarters, with an average year-over-year change of -20.52 percentage points over the last seven quarters.
- The high point for year-over-year EBITDA Margin in five years was Q2 2023 (a gain of 74.02 percentage points); the low point was Q1 2025 (a drop of 31.15 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 122.47% (Q1 2026), 129.20% (Q4 2025) and 125.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | John Marshall Bancorp | 325.14 Mn | -316.97 Mn | - | 129.23% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.23% |
| Jun 30, 2026 | 114.92% |
| Mar 31, 2026 | 122.47% |
| Dec 31, 2025 | 129.20% |
| Sep 30, 2025 | 125.25% |
| Jun 30, 2025 | 127.31% |
| Mar 31, 2025 | 133.81% |
| Dec 31, 2024 | 140.56% |
| Sep 30, 2024 | 150.64% |
| Jun 30, 2024 | 157.16% |
| Mar 31, 2024 | 164.96% |
| Dec 31, 2023 | 162.75% |
| Jun 30, 2023 | 144.34% |
| Mar 31, 2023 | 114.14% |
| Dec 31, 2022 | 92.19% |
| Sep 30, 2022 | 76.57% |
| Jun 30, 2022 | 70.32% |
| Mar 31, 2022 | 63.52% |
| Dec 31, 2021 | 65.16% |
| Sep 30, 2021 | 64.61% |
John Marshall Bancorp EBITDA Margin 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=ebitda-margin&ticker=JMSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();