FVCBankcorp (FVCB) Return on Sales [ROS] (2017 - 2026)
FVCBankcorp's Return on Sales [ROS] came in at 105.17% for Q2 2026, down 19.51 percentage points from 124.68% a year earlier and down 7.82 percentage points from the prior quarter.
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Analysis
FVCBankcorp (FVCB) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FVCBankcorp reported Return on Sales [ROS] of 114.28%, down 17.04 percentage points year-over-year; for FY2025, it came in at 122.95%, down 14.72 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -2266.13 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 137.67% in FY2024 (+0.08 pp), 137.60% in FY2023 (+69.40 pp), 68.20% in FY2022 (+6.04 pp) and 62.15% in FY2021 (-2326.93 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Year-over-year, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -27.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 200.56 percentage points), and the weakest in Q2 2022 (a drop of 2470.67 percentage points).
- Business Quant data shows FVCB's Return on Sales [ROS] at 113.00% (Q1 2026), 117.99% (Q4 2025) and 123.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | FVCBankcorp | 317.40 Mn | 317.40 Mn | - | 105.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.17% |
| Mar 31, 2026 | 113.00% |
| Dec 31, 2025 | 117.99% |
| Sep 30, 2025 | 123.13% |
| Jun 30, 2025 | 124.68% |
| Mar 31, 2025 | 126.53% |
| Dec 31, 2024 | 134.90% |
| Sep 30, 2024 | 140.08% |
| Jun 30, 2024 | 135.06% |
| Mar 31, 2024 | 141.03% |
| Dec 31, 2023 | 263.96% |
| Sep 30, 2023 | 142.57% |
| Jun 30, 2023 | 119.60% |
| Mar 31, 2023 | 122.03% |
| Dec 31, 2022 | 84.44% |
| Sep 30, 2022 | 70.17% |
| Jun 30, 2022 | 58.91% |
| Mar 31, 2022 | 60.30% |
| Dec 31, 2021 | 63.21% |
| Sep 30, 2021 | 2,373.95% |
API Access
FVCBankcorp 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=FVCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FVCB", "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=FVCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();