MainStreet Bancshares (MNSB) EBITDA Margin (2018 - 2026)
MainStreet Bancshares (MNSB) posted EBITDA Margin of 3827.36% for Q2 2026, up 2672.52 percentage points from 1154.83% a year earlier and up 329.80 percentage points from the prior quarter.
MainStreet Bancshares (MNSB) EBITDA Margin (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at MainStreet Bancshares was 2416.20%, up 2515.20 percentage points year-over-year; for FY2025, it was 1072.21%, up 1223.06 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +1002.20 percentage points (FY2020 to FY2025).
- In prior years, MainStreet Bancshares' EBITDA Margin was -150.85% in FY2024 (-1860.20 pp), 1709.35% in FY2023 (+144.52 pp), 1564.83% in FY2022 (-105.07 pp) and 1669.91% in FY2021 (+1599.91 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q4 2023.
- On a year-over-year basis, EBITDA Margin has increased in each of the last five quarters, with an average year-over-year change of -107.47 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2025, with a gain of 4553.74 percentage points; the weakest was Q4 2024, with a drop of 7878.24 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 3497.56% (Q1 2026), 1130.41% (Q4 2025) and 1195.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | MainStreet Bancshares | 176.09 Mn | 176.09 Mn | - | 3,827.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,827.36% |
| Mar 31, 2026 | 3,497.56% |
| Dec 31, 2025 | 1,130.41% |
| Sep 30, 2025 | 1,195.69% |
| Jun 30, 2025 | 1,154.83% |
| Mar 31, 2025 | 797.17% |
| Dec 31, 2024 | -3,423.33% |
| Sep 30, 2024 | 701.97% |
| Jun 30, 2024 | 892.86% |
| Mar 31, 2024 | 1,000.00% |
| Dec 31, 2023 | 4,454.90% |
| Sep 30, 2023 | 4,163.04% |
| Jun 30, 2023 | 3,851.03% |
| Mar 31, 2023 | 3,088.47% |
| Dec 31, 2022 | 2,535.25% |
| Sep 30, 2022 | 2,312.65% |
| Jun 30, 2022 | 1,782.08% |
| Mar 31, 2022 | 1,522.91% |
| Dec 31, 2021 | 1,492.47% |
| Sep 30, 2021 | 1,398.29% |
MainStreet Bancshares 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=MNSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MNSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();