MetroCity Bankshares (MCBS) EBITDA Margin (2018 - 2026)
MetroCity Bankshares' EBITDA Margin came in at 111.49% for Q2 2026, down 10.87 percentage points from 122.37% a year earlier and down 1.42 percentage points from the prior quarter.
MetroCity Bankshares (MCBS) EBITDA Margin (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MetroCity Bankshares reported EBITDA Margin of 114.20%, down 10.53 percentage points year-over-year; for FY2025, it was 119.89%, down 11.15 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +52.19 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 131.04% in FY2024 (-7.67 pp), 138.71% in FY2023 (+49.62 pp), 89.09% in FY2022 (+23.80 pp) and 65.28% in FY2021 (-2.41 pp).
- The five-year range for quarterly EBITDA Margin is 63.33% (Q3 2021) to 152.62% (Q3 2023).
- Year-over-year, EBITDA Margin has declined for nine consecutive quarters, with an average year-over-year change of -12.68 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2023 (a gain of 68.04 percentage points), and the weakest in Q3 2024 (a drop of 25.44 percentage points).
- Business Quant data shows MCBS's EBITDA Margin at 112.91% (Q1 2026), 110.42% (Q4 2025) and 123.83% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | MetroCity Bankshares | 1.04 Bn | -386.53 Mn | - | 116.91% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.91% |
| Jun 30, 2026 | 111.49% |
| Mar 31, 2026 | 112.91% |
| Dec 31, 2025 | 110.42% |
| Sep 30, 2025 | 123.83% |
| Jun 30, 2025 | 122.37% |
| Mar 31, 2025 | 124.61% |
| Dec 31, 2024 | 124.83% |
| Sep 30, 2024 | 127.17% |
| Jun 30, 2024 | 130.92% |
| Mar 31, 2024 | 142.27% |
| Dec 31, 2023 | 134.31% |
| Sep 30, 2023 | 152.62% |
| Jun 30, 2023 | 140.48% |
| Mar 31, 2023 | 129.74% |
| Dec 31, 2022 | 120.50% |
| Sep 30, 2022 | 96.48% |
| Jun 30, 2022 | 72.45% |
| Mar 31, 2022 | 73.19% |
| Dec 31, 2021 | 70.07% |
MetroCity Bankshares 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=MCBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "MCBS", "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=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();