John Marshall Bancorp (JMSB) Return on Sales [ROS] (2021 - 2026)
John Marshall Bancorp's Return on Sales [ROS] came in at 6197.69% for Q2 2026, down 481302.31 percentage points from 487500.00% a year earlier and down 819.49 percentage points from the prior quarter.
John Marshall Bancorp (JMSB) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, John Marshall Bancorp reported Return on Sales [ROS] of 7038.05%, down 186.20 percentage points year-over-year; for FY2025, it came in at 6395.85%, up 812.05 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +2548.79 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 5583.79% in FY2024 (+1834.31 pp), 3749.49% in FY2023 (-193.83 pp), 3943.32% in FY2022 (+96.27 pp) and 3847.05% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1339.42 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 481010.20 percentage points), and the weakest in Q2 2026 (a drop of 481302.31 percentage points).
- Business Quant data shows JMSB's Return on Sales [ROS] at 7017.18% (Q1 2026), 8226.27% (Q4 2025) and 7016.67% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | John Marshall Bancorp | 324.72 Mn | -278.12 Mn | - | 6,197.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,197.69% |
| Mar 31, 2026 | 7,017.18% |
| Dec 31, 2025 | 8,226.27% |
| Sep 30, 2025 | 7,016.67% |
| Jun 30, 2025 | 487,500.00% |
| Mar 31, 2025 | 4,328.57% |
| Dec 31, 2024 | 6,052.27% |
| Sep 30, 2024 | 6,482.39% |
| Jun 30, 2024 | 6,489.80% |
| Mar 31, 2024 | 4,142.66% |
| Dec 31, 2023 | 6,234.76% |
| Sep 30, 2023 | 875.25% |
| Jun 30, 2023 | 4,075.56% |
| Mar 31, 2023 | 3,539.09% |
| Dec 31, 2022 | 4,868.71% |
| Sep 30, 2022 | 4,551.50% |
| Jun 30, 2022 | 4,204.56% |
| Mar 31, 2022 | 2,620.51% |
| Dec 31, 2021 | 3,724.92% |
| Sep 30, 2021 | 4,396.20% |
John Marshall Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JMSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();