Farmers & Merchants Bancorp (FMAO) Return on Sales [ROS] (2009 - 2026)
Farmers & Merchants Bancorp's Return on Sales [ROS] came in at 91.69% for Q2 2026, down 1.00 percentage points from 92.69% a year earlier but up 4.80 percentage points from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Farmers & Merchants Bancorp reported Return on Sales [ROS] of 90.52%, down 10.58 percentage points year-over-year; for FY2025, it came in at 92.05%, down 16.52 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +45.56 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 108.57% in FY2024 (+19.40 pp), 89.17% in FY2023 (+35.71 pp), 53.46% in FY2022 (+11.16 pp) and 42.29% in FY2021 (-4.20 pp).
- The five-year range for quarterly Return on Sales [ROS] is 40.92% (Q3 2021) to 111.24% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -6.71 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 47.53 percentage points), and the weakest in Q3 2025 (a drop of 19.05 percentage points).
- Business Quant data shows FMAO's Return on Sales [ROS] at 86.89% (Q1 2026), 91.30% (Q4 2025) and 92.19% (Q3 2025) in the three quarters before Q2 2026.
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 | 510.44 Mn | -55.87 Mn | - | 89.83% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.83% |
| Jun 30, 2026 | 91.69% |
| Mar 31, 2026 | 86.89% |
| Dec 31, 2025 | 91.30% |
| Sep 30, 2025 | 92.19% |
| Jun 30, 2025 | 92.69% |
| Mar 31, 2025 | 92.10% |
| Dec 31, 2024 | 110.13% |
| Sep 30, 2024 | 111.24% |
| Jun 30, 2024 | 107.41% |
| Mar 31, 2024 | 105.19% |
| Dec 31, 2023 | 106.25% |
| Sep 30, 2023 | 96.87% |
| Jun 30, 2023 | 85.24% |
| Mar 31, 2023 | 70.26% |
| Dec 31, 2022 | 58.72% |
| Sep 30, 2022 | 54.99% |
| Jun 30, 2022 | 49.11% |
| Mar 31, 2022 | 50.44% |
| Dec 31, 2021 | 49.16% |
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=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMAO", "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=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();