Mercantile Bank (MBWM) EBITDA Margin (2010 - 2026)
Mercantile Bank's EBITDA Margin was 1276.34% in Q2 2026, down 131.70 percentage points from 1408.04% a year earlier but up 451.64 percentage points from the prior quarter.
Mercantile Bank (MBWM) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mercantile Bank's EBITDA Margin was 1040.85% through Jun 30, 2026, down 142.48 percentage points year-over-year; for FY2025, it came in at 1008.33%, down 44.15 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +316.23 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 1052.48% in FY2024 (+143.52 pp), 908.96% in FY2023 (+255.80 pp), 653.16% in FY2022 (-46.61 pp) and 699.76% in FY2021 (+7.66 pp).
- Quarterly EBITDA Margin has moved between 537.44% (Q2 2022) and 1408.04% (Q2 2025) over five years.
- Compared with a year earlier, EBITDA Margin has declined for four straight quarters, with an average year-over-year change of +45.02 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 559.64 percentage points); the worst was Q2 2022 (a drop of 283.42 percentage points).
- Per Business Quant data, MBWM's EBITDA Margin in the three quarters before Q2 2026 was 824.70% (Q1 2026), 1003.82% (Q4 2025) and 1051.81% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 92.35% |
| 10 | Mercantile Bank | 1.02 Bn | 1.02 Bn | - | 1,276.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,276.34% |
| Mar 31, 2026 | 824.70% |
| Dec 31, 2025 | 1,003.82% |
| Sep 30, 2025 | 1,051.81% |
| Jun 30, 2025 | 1,408.04% |
| Mar 31, 2025 | 1,073.04% |
| Dec 31, 2024 | 1,046.08% |
| Sep 30, 2024 | 1,166.82% |
| Jun 30, 2024 | 1,037.55% |
| Mar 31, 2024 | 971.59% |
| Dec 31, 2023 | 625.32% |
| Sep 30, 2023 | 1,162.03% |
| Jun 30, 2023 | 1,097.08% |
| Mar 31, 2023 | 1,031.63% |
| Dec 31, 2022 | 870.16% |
| Sep 30, 2022 | 655.38% |
| Jun 30, 2022 | 537.44% |
| Mar 31, 2022 | 545.25% |
| Dec 31, 2021 | 578.83% |
| Sep 30, 2021 | 682.75% |
Mercantile Bank 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=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "MBWM", "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=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();