Farmers & Merchants Bancorp (FMAO) Return on Sales [ROS] (2010 - 2026)
Farmers & Merchants Bancorp's Return on Sales [ROS] came in at 1706.99% for Q2 2026, down 82.01 percentage points from 1789.00% a year earlier but up 110.79 percentage points from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Farmers & Merchants Bancorp reported Return on Sales [ROS] of 1692.86%, down 190.72 percentage points year-over-year; for FY2025, it came in at 1744.34%, down 157.22 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1459.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1901.55% in FY2024 (+372.65 pp), 1528.90% in FY2023 (+655.14 pp), 873.76% in FY2022 (+599.23 pp) and 274.53% in FY2021 (-10.38 pp).
- The five-year range for quarterly Return on Sales [ROS] is 283.39% (Q3 2021) to 2115.38% (Q2 2024).
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -22.34 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 1211.14 percentage points), and the weakest in Q2 2025 (a drop of 326.39 percentage points).
- Business Quant data shows FMAO's Return on Sales [ROS] at 1596.21% (Q1 2026), 1797.82% (Q4 2025) and 1676.38% (Q3 2025) in the three quarters before Q2 2026.
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 | Farmers & Merchants Bancorp | 489.03 Mn | 489.03 Mn | - | 1,706.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,706.99% |
| Mar 31, 2026 | 1,596.21% |
| Dec 31, 2025 | 1,797.82% |
| Sep 30, 2025 | 1,676.38% |
| Jun 30, 2025 | 1,789.00% |
| Mar 31, 2025 | 1,717.81% |
| Dec 31, 2024 | 2,091.15% |
| Sep 30, 2024 | 1,953.33% |
| Jun 30, 2024 | 2,115.38% |
| Mar 31, 2024 | 1,529.55% |
| Dec 31, 2023 | 1,675.08% |
| Sep 30, 2023 | 1,636.13% |
| Jun 30, 2023 | 1,423.07% |
| Mar 31, 2023 | 363.31% |
| Dec 31, 2022 | 873.76% |
| Sep 30, 2022 | 424.99% |
| Jun 30, 2022 | 391.89% |
| Mar 31, 2022 | 333.76% |
| Dec 31, 2021 | 350.57% |
| Sep 30, 2021 | 283.39% |
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_KEY
import 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();