John Marshall Bancorp (JMSB) Retained Earnings (2021 - 2026)
John Marshall Bancorp (JMSB) posted Retained Earnings of $187.49 million for Q2 2026, up 13.2% from $165.59 million a year earlier and up 3.2% from the prior quarter.
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Analysis
John Marshall Bancorp (JMSB) Retained Earnings (2021 - 2026) Analysis & Trends
At the end of FY2025, John Marshall Bancorp's Retained Earnings came in at $176.91 million, up 10.6% from FY2024.
- Annual Retained Earnings shows a four-year compound annual growth rate of 10.7% (FY2021 to FY2025).
- In prior years, John Marshall Bancorp's Retained Earnings was $159.95 million in FY2024 (+9.3%), $146.39 million in FY2023 (-0.2%), $146.63 million in FY2022 (+24.7%) and $117.63 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2021.
- On a year-over-year basis, Retained Earnings has increased in each of the last eight quarters, with growth averaging 10.3% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q4 2022, with growth of 24.7%; the weakest was Q2 2024, with a decline of 0.7%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $181.74 million (Q1 2026), $176.91 million (Q4 2025) and $171 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | John Marshall Bancorp | 323.17 Mn | -279.67 Mn | - | 187.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.49 Mn |
| Mar 31, 2026 | 181.74 Mn |
| Dec 31, 2025 | 176.91 Mn |
| Sep 30, 2025 | 171.00 Mn |
| Jun 30, 2025 | 165.59 Mn |
| Mar 31, 2025 | 164.76 Mn |
| Dec 31, 2024 | 159.95 Mn |
| Sep 30, 2024 | 155.17 Mn |
| Jun 30, 2024 | 150.94 Mn |
| Mar 31, 2024 | 150.59 Mn |
| Dec 31, 2023 | 146.39 Mn |
| Sep 30, 2023 | 141.89 Mn |
| Jun 30, 2023 | 152.02 Mn |
| Mar 31, 2023 | 150.64 Mn |
| Dec 31, 2022 | 146.63 Mn |
| Sep 30, 2022 | 138.43 Mn |
| Jun 30, 2022 | 130.38 Mn |
| Mar 31, 2022 | 122.51 Mn |
| Dec 31, 2021 | 117.63 Mn |
API Access
John Marshall Bancorp Retained Earnings 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=retained-earnings&ticker=JMSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();