Virginia National Bankshares (VABK) Return on Sales [ROS] (2018 - 2026)
Virginia National Bankshares' Return on Sales [ROS] came in at 86.10% for Q2 2026, up 2.71 percentage points from 83.38% a year earlier but down 0.76 percentage points from the prior quarter.
Virginia National Bankshares (VABK) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Virginia National Bankshares reported Return on Sales [ROS] of 87.22%, down 1.50 percentage points year-over-year; for FY2025, it was 86.49%, down 7.00 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +42.49 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 93.49% in FY2024 (+17.21 pp), 76.28% in FY2023 (+29.07 pp), 47.21% in FY2022 (+19.80 pp) and 27.41% in FY2021 (-16.58 pp).
- The five-year range for quarterly Return on Sales [ROS] is 26.62% (Q3 2021) to 97.65% (Q2 2024).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -1.28 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 39.64 percentage points), and the weakest in Q2 2025 (a drop of 14.27 percentage points).
- Business Quant data shows VABK's Return on Sales [ROS] at 86.86% (Q1 2026), 92.32% (Q4 2025) and 83.80% (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 | Virginia National Bankshares | 255.27 Mn | 255.27 Mn | - | 86.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.10% |
| Mar 31, 2026 | 86.86% |
| Dec 31, 2025 | 92.32% |
| Sep 30, 2025 | 83.80% |
| Jun 30, 2025 | 83.38% |
| Mar 31, 2025 | 86.11% |
| Dec 31, 2024 | 89.02% |
| Sep 30, 2024 | 96.68% |
| Jun 30, 2024 | 97.65% |
| Mar 31, 2024 | 91.06% |
| Dec 31, 2023 | 86.26% |
| Sep 30, 2023 | 84.33% |
| Jun 30, 2023 | 73.36% |
| Mar 31, 2023 | 63.95% |
| Dec 31, 2022 | 52.16% |
| Sep 30, 2022 | 46.47% |
| Jun 30, 2022 | 47.10% |
| Mar 31, 2022 | 42.49% |
| Dec 31, 2021 | 44.89% |
| Sep 30, 2021 | 26.62% |
Virginia National Bankshares 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=VABK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VABK", "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=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();