Mercantile Bank (MBWM) EBITDA (2010 - 2026)
Mercantile Bank (MBWM) reported EBITDA of $91.32 million for Q2 2026, down 0.4% from $91.65 million a year earlier but up 56.1% from the prior quarter.
Mercantile Bank (MBWM) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mercantile Bank's EBITDA came in at $270.92 million, down 0.1% year-over-year; for FY2025, it came in at $238.44 million, down 0.3% from FY2024.
- EBITDA has a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- By year, EBITDA came in at $239.21 million in FY2024 (+24.6%), $192.01 million in FY2023 (+70.9%), $112.33 million in FY2022 (+5.2%) and $106.83 million in FY2021 (+18.2%).
- Five-year quarterly EBITDA spans a low of $22.78 million in Q1 2022 and a high of $91.65 million in Q2 2025.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 11.2%.
- The high point for year-over-year EBITDA in five years was Q2 2023 (growth of 101.9%); the low point was Q2 2022 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58.5 million (Q1 2026), $58.67 million (Q4 2025) and $62.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Mercantile Bank | 1.02 Bn | 1.02 Bn | - | 91.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.32 Mn |
| Mar 31, 2026 | 58.50 Mn |
| Dec 31, 2025 | 58.67 Mn |
| Sep 30, 2025 | 62.43 Mn |
| Jun 30, 2025 | 91.65 Mn |
| Mar 31, 2025 | 57.48 Mn |
| Dec 31, 2024 | 59.71 Mn |
| Sep 30, 2024 | 62.34 Mn |
| Jun 30, 2024 | 58.03 Mn |
| Mar 31, 2024 | 59.12 Mn |
| Dec 31, 2023 | 53.00 Mn |
| Sep 30, 2023 | 51.11 Mn |
| Jun 30, 2023 | 46.62 Mn |
| Mar 31, 2023 | 41.29 Mn |
| Dec 31, 2022 | 37.58 Mn |
| Sep 30, 2022 | 28.89 Mn |
| Jun 30, 2022 | 23.08 Mn |
| Mar 31, 2022 | 22.78 Mn |
| Dec 31, 2021 | 23.21 Mn |
| Sep 30, 2021 | 26.79 Mn |
Mercantile Bank EBITDA 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&ticker=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();