Ohio Valley Banc (OVBC) Return on Sales [ROS] (2010 - 2026)
Ohio Valley Banc's Return on Sales [ROS] was 62.76% in Q2 2026, down 4.49 percentage points from 67.25% a year earlier and down 7.88 percentage points from the prior quarter.
Ohio Valley Banc (OVBC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ohio Valley Banc's Return on Sales [ROS] was 68.60% through Jun 30, 2026, up 2.47 percentage points year-over-year; for FY2025, it came in at 70.36%, up 5.28 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +34.39 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 65.08% in FY2024 (+12.17 pp), 52.91% in FY2023 (+18.75 pp), 34.16% in FY2022 (-0.65 pp) and 34.82% in FY2021 (-1.16 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of +2.66 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 29.44 percentage points); the worst was Q4 2021 (a drop of 26.99 percentage points).
- Per Business Quant data, OVBC's Return on Sales [ROS] in the three quarters before Q2 2026 was 70.64% (Q1 2026), 76.22% (Q4 2025) and 65.43% (Q3 2025).
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 | Ohio Valley Banc | 210.16 Mn | -128.47 Mn | - | 62.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.76% |
| Mar 31, 2026 | 70.64% |
| Dec 31, 2025 | 76.22% |
| Sep 30, 2025 | 65.43% |
| Jun 30, 2025 | 67.25% |
| Mar 31, 2025 | 72.75% |
| Dec 31, 2024 | 58.97% |
| Sep 30, 2024 | 65.56% |
| Jun 30, 2024 | 70.30% |
| Mar 31, 2024 | 66.42% |
| Dec 31, 2023 | 65.20% |
| Sep 30, 2023 | 51.87% |
| Jun 30, 2023 | 50.89% |
| Mar 31, 2023 | 43.90% |
| Dec 31, 2022 | 35.76% |
| Sep 30, 2022 | 35.81% |
| Jun 30, 2022 | 22.91% |
| Mar 31, 2022 | 41.68% |
| Dec 31, 2021 | 30.02% |
| Sep 30, 2021 | 34.40% |
Ohio Valley 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=OVBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OVBC", "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=OVBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();