Mercantile Bank (MBWM) Long-Term Debt Repayments (2010 - 2026)
Mercantile Bank (MBWM) reported Long-Term Debt Repayments of $20 million for Q2 2026, down 33.3% from $30 million a year earlier and down 35.3% from the prior quarter.
Mercantile Bank (MBWM) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mercantile Bank's Long-Term Debt Repayments came in at $80.9 million, down 11.0% year-over-year; for FY2025, it was $80.86 million, down 11.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 32.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $90.83 million in FY2024 (+13.0%), $80.35 million in FY2023 (-14.5%), $94 million in FY2022 (+370.0%) and $20 million in FY2021 (unchanged).
- Five-year quarterly Long-Term Debt Repayments spans a low of $10 million in Q3 2023 and a high of $30.9 million in Q1 2026.
- Year over year, Long-Term Debt Repayments gained in two of the last eight quarters, with an average decline of 0.1%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2024 (growth of 197.8%); the low point was Q3 2023 (a decline of 58.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.9 million (Q1 2026), $20 million (Q4 2025) and $10 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Mercantile Bank | 1.01 Bn | 1.01 Bn | - | 20.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.00 Mn |
| Mar 31, 2026 | 30.90 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 20.86 Mn |
| Dec 31, 2024 | 30.00 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 30.83 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 10.35 Mn |
| Dec 31, 2022 | 30.00 Mn |
| Sep 30, 2022 | 24.00 Mn |
| Jun 30, 2022 | 20.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 20.00 Mn |
| Jun 30, 2020 | 20.00 Mn |
Mercantile Bank Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();