Mercantile Bank (MBWM) Return on Sales [ROS] (2010 - 2026)
Mercantile Bank (MBWM) recorded Return on Sales [ROS] of 1259.87% in Q2 2026, down 126.39 percentage points from 1386.27% a year earlier but up 459.10 percentage points from the prior quarter.
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Analysis
Mercantile Bank (MBWM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Mercantile Bank's Return on Sales [ROS] came in at 1019.31% as of Jun 30, 2026, down 128.73 percentage points year-over-year; for FY2025, it was 983.82%, down 22.44 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +363.92 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 1006.26% in FY2024 (+151.72 pp), 854.54% in FY2023 (+276.65 pp), 577.89% in FY2022 (-32.28 pp) and 610.17% in FY2021 (-9.73 pp).
- Quarterly Return on Sales [ROS] has ranged from 462.14% in Q2 2022 to 1386.27% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +58.13 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 567.14 percentage points in Q2 2023, against a drop of 270.06 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 800.78% (Q1 2026), 980.05% (Q4 2025) and 1029.17% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Mercantile Bank | 1.03 Bn | 1.03 Bn | - | 1,259.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,259.87% |
| Mar 31, 2026 | 800.78% |
| Dec 31, 2025 | 980.05% |
| Sep 30, 2025 | 1,029.17% |
| Jun 30, 2025 | 1,386.27% |
| Mar 31, 2025 | 1,042.30% |
| Dec 31, 2024 | 1,004.77% |
| Sep 30, 2024 | 1,116.90% |
| Jun 30, 2024 | 989.15% |
| Mar 31, 2024 | 926.01% |
| Dec 31, 2023 | 594.18% |
| Sep 30, 2023 | 1,095.48% |
| Jun 30, 2023 | 1,029.28% |
| Mar 31, 2023 | 955.45% |
| Dec 31, 2022 | 798.61% |
| Sep 30, 2022 | 583.62% |
| Jun 30, 2022 | 462.14% |
| Mar 31, 2022 | 462.46% |
| Dec 31, 2021 | 492.09% |
| Sep 30, 2021 | 594.95% |
API Access
Mercantile Bank Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MBWM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();