Mercantile Bank (MBWM) Accumulated Expenses (2010 - 2026)
Mercantile Bank (MBWM) reported Accumulated Expenses of $79 million for Q2 2026, down 20.9% from $99.83 million a year earlier and down 7.4% from the prior quarter.
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Analysis
Mercantile Bank (MBWM) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Mercantile Bank posted Accumulated Expenses of $96.7 million, down 20.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $121.02 million in FY2024 (+28.9%), $93.9 million in FY2023 (+20.1%), $78.21 million in FY2022 (+217.4%) and $24.64 million in FY2021 (+1.4%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q2 2023.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with an average decline of 6.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 218.8%); the low point was Q2 2026 (a decline of 20.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $85.31 million (Q1 2026), $96.7 million (Q4 2025) and $100.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Mercantile Bank | 1.03 Bn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.00 Mn |
| Mar 31, 2026 | 85.31 Mn |
| Dec 31, 2025 | 96.70 Mn |
| Sep 30, 2025 | 100.91 Mn |
| Jun 30, 2025 | 99.83 Mn |
| Mar 31, 2025 | 102.85 Mn |
| Dec 31, 2024 | 121.02 Mn |
| Sep 30, 2024 | 100.51 Mn |
| Jun 30, 2024 | 116.55 Mn |
| Mar 31, 2024 | 106.93 Mn |
| Dec 31, 2023 | 93.90 Mn |
| Sep 30, 2023 | 106.72 Mn |
| Jun 30, 2023 | 76.63 Mn |
| Mar 31, 2023 | 70.07 Mn |
| Dec 31, 2022 | 78.21 Mn |
| Sep 30, 2022 | 80.39 Mn |
| Jun 30, 2022 | 53.04 Mn |
| Mar 31, 2022 | 39.80 Mn |
| Dec 31, 2021 | 24.64 Mn |
| Sep 30, 2021 | 25.22 Mn |
API Access
Mercantile Bank Accumulated 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=accumulated-expenses&ticker=MBWM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();