Mercantile Bank (MBWM) Operating Expenses (2010 - 2026)
Mercantile Bank's Operating Expenses came in at $39.38 million for Q2 2026, up 18.0% from $33.38 million a year earlier but down 6.5% from the prior quarter.
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Analysis
Mercantile Bank (MBWM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mercantile Bank reported Operating Expenses of $152.96 million, up 17.1% year-over-year; for FY2025, it was $135.96 million, up 8.1% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $125.79 million in FY2024 (+9.1%), $115.29 million in FY2023 (+6.8%), $107.98 million in FY2022 (-2.6%) and $110.87 million in FY2021 (+12.5%).
- The five-year range for quarterly Operating Expenses is $25.74 million (Q1 2022) to $42.11 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 35.4%), and the weakest in Q4 2022 (a decline of 14.6%).
- Business Quant data shows MBWM's Operating Expenses at $42.11 million (Q1 2026), $36.73 million (Q4 2025) and $34.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Mercantile Bank | 1.02 Bn | 1.02 Bn | - | 39.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.38 Mn |
| Mar 31, 2026 | 42.11 Mn |
| Dec 31, 2025 | 36.73 Mn |
| Sep 30, 2025 | 34.75 Mn |
| Jun 30, 2025 | 33.38 Mn |
| Mar 31, 2025 | 31.10 Mn |
| Dec 31, 2024 | 33.81 Mn |
| Sep 30, 2024 | 32.30 Mn |
| Jun 30, 2024 | 29.74 Mn |
| Mar 31, 2024 | 29.94 Mn |
| Dec 31, 2023 | 29.94 Mn |
| Sep 30, 2023 | 28.92 Mn |
| Jun 30, 2023 | 27.83 Mn |
| Mar 31, 2023 | 28.60 Mn |
| Dec 31, 2022 | 28.49 Mn |
| Sep 30, 2022 | 26.78 Mn |
| Jun 30, 2022 | 26.94 Mn |
| Mar 31, 2022 | 25.74 Mn |
| Dec 31, 2021 | 33.35 Mn |
| Sep 30, 2021 | 26.21 Mn |
API Access
Mercantile Bank Operating Expenses 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=operating-expenses&ticker=MBWM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();