Farmers & Merchants Bancshares (FMFG) Return on Sales [ROS] (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) posted Return on Sales [ROS] of 92.49% for Q2 2026, up 2.82 percentage points from 89.67% a year earlier but down 2.46 percentage points from the prior quarter.
Farmers & Merchants Bancshares (FMFG) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Farmers & Merchants Bancshares was 95.99%, down 3.77 percentage points year-over-year; for FY2025, it was 96.10%, down 5.88 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +77.55 percentage points (FY2020 to FY2025).
- In prior years, Farmers & Merchants Bancshares' Return on Sales [ROS] was 101.98% in FY2024 (+22.26 pp), 79.72% in FY2023 (+31.57 pp), 48.15% in FY2022 (-5.31 pp) and 53.46% in FY2021 (+34.91 pp).
- Quarterly Return on Sales [ROS] has run from a low of 45.71% in Q4 2022 to a high of 112.48% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +1.41 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 47.84 percentage points; the weakest was Q3 2025, with a drop of 14.36 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 94.95% (Q1 2026), 98.63% (Q4 2025) and 98.12% (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 | Farmers & Merchants Bancshares | 60.40 Mn | 60.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.49% |
| Mar 31, 2026 | 94.95% |
| Dec 31, 2025 | 98.63% |
| Sep 30, 2025 | 98.12% |
| Jun 30, 2025 | 89.67% |
| Mar 31, 2025 | 97.72% |
| Dec 31, 2024 | 100.94% |
| Sep 30, 2024 | 112.48% |
| Jun 30, 2024 | 98.62% |
| Mar 31, 2024 | 96.12% |
| Dec 31, 2023 | 93.54% |
| Sep 30, 2023 | 84.63% |
| Jun 30, 2023 | 76.26% |
| Mar 31, 2023 | 65.36% |
| Dec 31, 2022 | 45.71% |
| Sep 30, 2022 | 47.34% |
| Jun 30, 2022 | 50.66% |
| Mar 31, 2022 | 49.32% |
| Dec 31, 2021 | 51.52% |
| Sep 30, 2021 | 51.98% |
Farmers & Merchants Bancshares 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=FMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMFG", "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=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();