Farmers & Merchants Bancorp (FMCB) Return on Sales [ROS] (2009 - 2026)
Farmers & Merchants Bancorp (FMCB) reported Return on Sales [ROS] of 78.34% for Q2 2026, down 1.69 percentage points from 80.03% a year earlier but up 2.30 percentage points from the prior quarter.
Farmers & Merchants Bancorp (FMCB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Farmers & Merchants Bancorp's Return on Sales [ROS] came in at 76.61%, down 3.38 percentage points year-over-year; for FY2025, it came in at 77.89%, down 4.59 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +24.85 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 82.48% in FY2024 (+15.21 pp), 67.27% in FY2023 (+14.91 pp), 52.36% in FY2022 (+1.45 pp) and 50.91% in FY2021 (-2.13 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 48.32% in Q4 2021 and a high of 88.53% in Q2 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -1.57 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 24.90 percentage points); the low point was Q2 2025 (a drop of 8.50 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 76.04% (Q1 2026), 75.31% (Q4 2025) and 76.76% (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 Bancorp | 1.03 Bn | 47.12 Mn | - | 65.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.89% |
| Jun 30, 2026 | 78.34% |
| Mar 31, 2026 | 76.04% |
| Dec 31, 2025 | 75.31% |
| Sep 30, 2025 | 76.76% |
| Jun 30, 2025 | 80.03% |
| Mar 31, 2025 | 79.69% |
| Dec 31, 2024 | 79.30% |
| Sep 30, 2024 | 80.93% |
| Jun 30, 2024 | 88.53% |
| Mar 31, 2024 | 81.35% |
| Dec 31, 2023 | 75.76% |
| Sep 30, 2023 | 73.36% |
| Jun 30, 2023 | 64.08% |
| Mar 31, 2023 | 56.45% |
| Dec 31, 2022 | 54.53% |
| Sep 30, 2022 | 52.67% |
| Jun 30, 2022 | 51.16% |
| Mar 31, 2022 | 50.77% |
| Dec 31, 2021 | 48.32% |
Farmers & 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=FMCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMCB", "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=FMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();