Mercantile Bank (MBWM) Loans - Loss Allowance (2010 - 2026)
Mercantile Bank (MBWM) posted Loans - Loss Allowance of $55.44 million for Q2 2026, down 5.0% from $58.38 million a year earlier and down 2.3% from the prior quarter.
Mercantile Bank (MBWM) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Mercantile Bank's Loans - Loss Allowance came in at $58.19 million, up 6.9% from FY2024.
- Annual Loans - Loss Allowance has increased for four consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Mercantile Bank's Loans - Loss Allowance was $54.45 million in FY2024 (+9.1%), $49.91 million in FY2023 (+18.2%), $42.25 million in FY2022 (+19.5%) and $35.36 million in FY2021 (-6.9%).
- The Q2 2026 figure stands as the lowest quarterly Loans - Loss Allowance since Q4 2024.
- On a year-over-year basis, Loans - Loss Allowance increased in seven of the last eight quarters, with growth averaging 6.1%.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q2 2023, with growth of 24.3%; the weakest was Q1 2022, with a decline of 9.2%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $56.74 million (Q1 2026), $58.19 million (Q4 2025) and $59.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Mercantile Bank | 1.01 Bn | 1.01 Bn | - | 55.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.44 Mn |
| Mar 31, 2026 | 56.74 Mn |
| Dec 31, 2025 | 58.19 Mn |
| Sep 30, 2025 | 59.13 Mn |
| Jun 30, 2025 | 58.38 Mn |
| Mar 31, 2025 | 56.67 Mn |
| Dec 31, 2024 | 54.45 Mn |
| Sep 30, 2024 | 56.59 Mn |
| Jun 30, 2024 | 55.41 Mn |
| Mar 31, 2024 | 51.64 Mn |
| Dec 31, 2023 | 49.91 Mn |
| Sep 30, 2023 | 48.01 Mn |
| Jun 30, 2023 | 44.72 Mn |
| Mar 31, 2023 | 42.88 Mn |
| Dec 31, 2022 | 42.25 Mn |
| Sep 30, 2022 | 39.12 Mn |
| Jun 30, 2022 | 35.97 Mn |
| Mar 31, 2022 | 35.15 Mn |
| Dec 31, 2021 | 35.36 Mn |
| Sep 30, 2021 | 37.42 Mn |
Mercantile Bank Loans - Loss Allowance 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=loans-loss-allowance&ticker=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();