Mercantile Bank (MBWM) Total Liabilities (2010 - 2026)
Mercantile Bank (MBWM) recorded Total Liabilities of $6.42 billion in Q3 2026, up 13.6% from $5.65 billion a year earlier and up 5.8% from the prior quarter.
Mercantile Bank (MBWM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mercantile Bank reported Total Liabilities of $6.11 billion, up 11.8% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $5.47 billion in FY2024 (+13.2%), $4.83 billion in FY2023 (+9.0%), $4.43 billion in FY2022 (-7.7%) and $4.8 billion in FY2021 (+20.2%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 20.2% in Q4 2021, against a decline of 7.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.06 billion (Q2 2026), $6.21 billion (Q1 2026) and $6.11 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 3,241.48 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 2,532.15 Bn |
| 10 | Mercantile Bank | 1.06 Bn | 1.06 Bn | - | 6.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.42 Bn |
| Jun 30, 2026 | 6.06 Bn |
| Mar 31, 2026 | 6.21 Bn |
| Dec 31, 2025 | 6.11 Bn |
| Sep 30, 2025 | 5.65 Bn |
| Jun 30, 2025 | 5.55 Bn |
| Mar 31, 2025 | 5.53 Bn |
| Dec 31, 2024 | 5.47 Bn |
| Sep 30, 2024 | 5.33 Bn |
| Jun 30, 2024 | 5.05 Bn |
| Mar 31, 2024 | 4.93 Bn |
| Dec 31, 2023 | 4.83 Bn |
| Sep 30, 2023 | 4.77 Bn |
| Jun 30, 2023 | 4.66 Bn |
| Mar 31, 2023 | 4.43 Bn |
| Dec 31, 2022 | 4.43 Bn |
| Sep 30, 2022 | 4.60 Bn |
| Jun 30, 2022 | 4.63 Bn |
| Mar 31, 2022 | 4.74 Bn |
| Dec 31, 2021 | 4.80 Bn |
Mercantile Bank Total Liabilities 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=total-liabilities&ticker=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();