F&M Bank (FMBM) Return on Sales [ROS] (2010 - 2026)
F&M Bank (FMBM) reported Return on Sales [ROS] of 68.18% for Q1 2026, down 10.66 percentage points from 78.85% a year earlier and down 3.09 percentage points from the prior quarter.
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Analysis
F&M Bank (FMBM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, F&M Bank's Return on Sales [ROS] came in at 73.13%, down 11.77 percentage points year-over-year; for FY2025, it came in at 74.39%, down 11.69 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +37.96 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 86.08% in FY2024 (+22.16 pp), 63.92% in FY2023 (+29.18 pp), 34.74% in FY2022 (-3.69 pp) and 38.43% in FY2021 (+2.00 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 24.23% in Q2 2022 and a high of 98.27% in Q2 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -3.75 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2024 (a gain of 45.23 percentage points); the low point was Q2 2025 (a drop of 65.46 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at 71.28% (Q4 2025), 75.03% (Q3 2025) and 32.80% (Q2 2025).
Peer Set
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 | F&M Bank | 145.37 Mn | 145.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 68.18% |
| Dec 31, 2025 | 71.28% |
| Sep 30, 2025 | 75.03% |
| Jun 30, 2025 | 32.80% |
| Mar 31, 2025 | 78.85% |
| Dec 31, 2024 | 87.56% |
| Sep 30, 2024 | 75.43% |
| Jun 30, 2024 | 98.27% |
| Mar 31, 2024 | 82.81% |
| Dec 31, 2023 | 69.02% |
| Sep 30, 2023 | 72.42% |
| Jun 30, 2023 | 53.04% |
| Mar 31, 2023 | 60.34% |
| Dec 31, 2022 | 43.20% |
| Sep 30, 2022 | 38.75% |
| Jun 30, 2022 | 24.23% |
| Mar 31, 2022 | 32.68% |
| Dec 31, 2021 | 28.27% |
| Sep 30, 2021 | 34.29% |
| Jun 30, 2021 | 43.48% |
API Access
F&M Bank 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();