John Marshall Bancorp (JMSB) EBITDA (2021 - 2026)
John Marshall Bancorp (JMSB) posted EBITDA of $21.56 million for Q2 2026, up 9.8% from $19.63 million a year earlier and up 4.9% from the prior quarter.
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Analysis
John Marshall Bancorp (JMSB) EBITDA (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at John Marshall Bancorp was $83.54 million, up 4.4% year-over-year; for FY2025, it came in at $80.58 million, down 1.0% from FY2024.
- Annual EBITDA shows a four-year compound annual growth rate of 18.2% (FY2021 to FY2025).
- In prior years, John Marshall Bancorp's EBITDA was $81.41 million in FY2024 (+38.6%), $58.75 million in FY2023 (+8.3%), $54.27 million in FY2022 (+31.4%) and $41.29 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2021.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 83.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2024, with growth of 656.4%; the weakest was Q3 2023, with a decline of 80.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $20.55 million (Q1 2026), $21.1 million (Q4 2025) and $20.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | John Marshall Bancorp | 323.17 Mn | -279.67 Mn | - | 21.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.56 Mn |
| Mar 31, 2026 | 20.55 Mn |
| Dec 31, 2025 | 21.10 Mn |
| Sep 30, 2025 | 20.34 Mn |
| Jun 30, 2025 | 19.63 Mn |
| Mar 31, 2025 | 19.52 Mn |
| Dec 31, 2024 | 20.15 Mn |
| Sep 30, 2024 | 20.73 Mn |
| Jun 30, 2024 | 19.84 Mn |
| Mar 31, 2024 | 20.70 Mn |
| Dec 31, 2023 | 20.57 Mn |
| Sep 30, 2023 | 2.74 Mn |
| Jun 30, 2023 | 18.30 Mn |
| Mar 31, 2023 | 17.14 Mn |
| Dec 31, 2022 | 16.78 Mn |
| Sep 30, 2022 | 13.83 Mn |
| Jun 30, 2022 | 12.13 Mn |
| Mar 31, 2022 | 11.53 Mn |
| Dec 31, 2021 | 11.38 Mn |
| Sep 30, 2021 | 10.64 Mn |
API Access
John Marshall Bancorp EBITDA 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&ticker=JMSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();