Mercantile Bank (MBWM) Retained Earnings (2010 - 2026)
Mercantile Bank (MBWM) posted Retained Earnings of $452.05 million for Q3 2026, up 18.1% from $382.68 million a year earlier and up 4.0% from the prior quarter.
Mercantile Bank (MBWM) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Mercantile Bank's Retained Earnings came in at $399.45 million, up 19.4% from FY2024.
- Annual Retained Earnings has increased for 11 consecutive years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In prior years, Mercantile Bank's Retained Earnings was $334.65 million in FY2024 (+20.6%), $277.53 million in FY2023 (+28.3%), $216.31 million in FY2022 (+23.9%) and $174.54 million in FY2021 (+30.2%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 45 quarters, with growth averaging 19.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 18.1% in Q3 2026 to 31.7% in Q3 2023.
- According to Business Quant data, Retained Earnings for the three prior quarters was $434.79 million (Q2 2026), $415.5 million (Q1 2026) and $399.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 167.59 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 66.96 Bn |
| 10 | Mercantile Bank | 1.06 Bn | 1.06 Bn | - | 452.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 452.05 Mn |
| Jun 30, 2026 | 434.79 Mn |
| Mar 31, 2026 | 415.50 Mn |
| Dec 31, 2025 | 399.45 Mn |
| Sep 30, 2025 | 382.68 Mn |
| Jun 30, 2025 | 364.99 Mn |
| Mar 31, 2025 | 348.28 Mn |
| Dec 31, 2024 | 334.65 Mn |
| Sep 30, 2024 | 320.72 Mn |
| Jun 30, 2024 | 306.80 Mn |
| Mar 31, 2024 | 293.55 Mn |
| Dec 31, 2023 | 277.53 Mn |
| Sep 30, 2023 | 262.84 Mn |
| Jun 30, 2023 | 247.31 Mn |
| Mar 31, 2023 | 232.12 Mn |
| Dec 31, 2022 | 216.31 Mn |
| Sep 30, 2022 | 199.51 Mn |
| Jun 30, 2022 | 188.45 Mn |
| Mar 31, 2022 | 181.53 Mn |
| Dec 31, 2021 | 174.54 Mn |
Mercantile Bank Retained Earnings 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=retained-earnings&ticker=MBWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();