Farmers National Banc (FMNB) Return on Sales [ROS] (2010 - 2026)
Farmers National Banc's Return on Sales [ROS] came in at 404.84% for Q2 2026, up 70.96 percentage points from 333.88% a year earlier and up 48.16 percentage points from the prior quarter.
Farmers National Banc (FMNB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Farmers National Banc reported Return on Sales [ROS] of 354.96%, up 297.12 percentage points year-over-year; for FY2025, it came in at 333.59%, up 276.14 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +28.34 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 57.45% in FY2024 (+4.84 pp), 52.61% in FY2023 (+3.89 pp), 48.72% in FY2022 (-229.22 pp) and 277.94% in FY2021 (-27.31 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q3 2023.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +23.09 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 313.59 percentage points), and the weakest in Q4 2021 (a drop of 162.64 percentage points).
- Business Quant data shows FMNB's Return on Sales [ROS] at 356.68% (Q1 2026), 331.56% (Q4 2025) and 317.64% (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 National Banc | 908.63 Mn | 908.63 Mn | - | 404.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404.84% |
| Mar 31, 2026 | 356.68% |
| Dec 31, 2025 | 331.56% |
| Sep 30, 2025 | 317.64% |
| Jun 30, 2025 | 333.88% |
| Mar 31, 2025 | 352.39% |
| Dec 31, 2024 | 17.97% |
| Sep 30, 2024 | 326.21% |
| Jun 30, 2024 | 386.78% |
| Mar 31, 2024 | 375.57% |
| Dec 31, 2023 | 17.27% |
| Sep 30, 2023 | 446.35% |
| Jun 30, 2023 | 462.54% |
| Mar 31, 2023 | 280.47% |
| Dec 31, 2022 | 15.02% |
| Sep 30, 2022 | 336.35% |
| Jun 30, 2022 | 309.40% |
| Mar 31, 2022 | 289.26% |
| Dec 31, 2021 | 121.15% |
| Sep 30, 2021 | 338.98% |
Farmers National Banc 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=FMNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMNB", "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=FMNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();