MainStreet Bancshares (MNSB) Return on Sales [ROS] (2018 - 2026)
MainStreet Bancshares' Return on Sales [ROS] came in at 103.96% for Q2 2026, up 78.22 percentage points from 25.74% a year earlier but down 2.64 percentage points from the prior quarter.
MainStreet Bancshares (MNSB) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MainStreet Bancshares reported Return on Sales [ROS] of 67.86%, up 76.85 percentage points year-over-year; for FY2025, it came in at 25.85%, up 36.70 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -40.88 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -10.85% in FY2024 (-53.89 pp), 43.04% in FY2023 (-4.48 pp), 47.52% in FY2022 (-17.23 pp) and 64.75% in FY2021 (-1.99 pp).
- The five-year range for quarterly Return on Sales [ROS] is -104.37% (Q4 2024) to 122.50% (Q4 2023).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of -0.50 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 133.29 percentage points), and the weakest in Q4 2024 (a drop of 226.88 percentage points).
- Business Quant data shows MNSB's Return on Sales [ROS] at 106.60% (Q1 2026), 28.92% (Q4 2025) and 30.49% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | MainStreet Bancshares | 154.59 Mn | -587.62 Mn | - | 98.06% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 98.06% |
| Jun 30, 2026 | 103.96% |
| Mar 31, 2026 | 106.60% |
| Dec 31, 2025 | 28.92% |
| Sep 30, 2025 | 30.49% |
| Jun 30, 2025 | 25.74% |
| Mar 31, 2025 | 17.97% |
| Dec 31, 2024 | -104.37% |
| Sep 30, 2024 | 18.55% |
| Jun 30, 2024 | 21.40% |
| Mar 31, 2024 | 23.99% |
| Dec 31, 2023 | 122.50% |
| Sep 30, 2023 | 106.04% |
| Jun 30, 2023 | 99.73% |
| Mar 31, 2023 | 79.94% |
| Dec 31, 2022 | 67.83% |
| Sep 30, 2022 | 68.75% |
| Jun 30, 2022 | 58.11% |
| Mar 31, 2022 | 53.47% |
| Dec 31, 2021 | 56.88% |
MainStreet Bancshares 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=MNSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MNSB", "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=MNSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();