Merchants Bancorp (MBIN) Return on Sales [ROS] (2016 - 2026)
Merchants Bancorp (MBIN) posted Return on Sales [ROS] of 141.22% for Q2 2026, up 15.93 percentage points from 125.29% a year earlier and up 12.16 percentage points from the prior quarter.
Merchants Bancorp (MBIN) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Merchants Bancorp was 135.20%, down 24.59 percentage points year-over-year; for FY2025, it came in at 139.06%, down 40.26 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +53.17 percentage points (FY2020 to FY2025).
- In prior years, Merchants Bancorp's Return on Sales [ROS] was 179.32% in FY2024 (+5.59 pp), 173.73% in FY2023 (+71.72 pp), 102.01% in FY2022 (+24.18 pp) and 77.83% in FY2021 (-8.06 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -24.14 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 83.11 percentage points; the weakest was Q2 2025, with a drop of 62.38 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 129.06% (Q1 2026), 131.29% (Q4 2025) and 139.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Merchants Bancorp | 2.46 Bn | -663.48 Mn | - | 133.56% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.56% |
| Jun 30, 2026 | 141.22% |
| Mar 31, 2026 | 129.06% |
| Dec 31, 2025 | 131.29% |
| Sep 30, 2025 | 139.30% |
| Jun 30, 2025 | 125.29% |
| Mar 31, 2025 | 165.54% |
| Dec 31, 2024 | 162.36% |
| Sep 30, 2024 | 192.20% |
| Jun 30, 2024 | 187.67% |
| Mar 31, 2024 | 179.48% |
| Dec 31, 2023 | 180.68% |
| Sep 30, 2023 | 186.18% |
| Jun 30, 2023 | 163.12% |
| Mar 31, 2023 | 159.99% |
| Dec 31, 2022 | 135.91% |
| Sep 30, 2022 | 110.08% |
| Jun 30, 2022 | 80.28% |
| Mar 31, 2022 | 76.88% |
| Dec 31, 2021 | 73.11% |
Merchants Bancorp 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=MBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MBIN", "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=MBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();