Blue Ridge Bankshares (BRBS) Return on Sales [ROS] (2018 - 2026)
Blue Ridge Bankshares (BRBS) posted Return on Sales [ROS] of 58.29% for Q2 2026, down 13.92 percentage points from 72.22% a year earlier and down 12.32 percentage points from the prior quarter.
Blue Ridge Bankshares (BRBS) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Blue Ridge Bankshares was 77.05%, down 1.60 percentage points year-over-year; for FY2025, it came in at 79.27%, up 8.63 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +46.76 percentage points (FY2020 to FY2025).
- In prior years, Blue Ridge Bankshares' Return on Sales [ROS] was 70.64% in FY2024 (+56.55 pp), 14.09% in FY2023 (-11.64 pp), 25.73% in FY2022 (-18.53 pp) and 44.26% in FY2021 (+11.75 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +28.47 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 186.45 percentage points; the weakest was Q3 2023, with a drop of 108.89 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 70.61% (Q1 2026), 90.07% (Q4 2025) and 84.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Blue Ridge Bankshares | 363.21 Mn | 363.21 Mn | - | 38.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.17% |
| Jun 30, 2026 | 58.29% |
| Mar 31, 2026 | 70.61% |
| Dec 31, 2025 | 90.07% |
| Sep 30, 2025 | 84.70% |
| Jun 30, 2025 | 72.22% |
| Mar 31, 2025 | 70.13% |
| Dec 31, 2024 | 73.41% |
| Sep 30, 2024 | 99.40% |
| Jun 30, 2024 | 41.73% |
| Mar 31, 2024 | 67.11% |
| Dec 31, 2023 | 0.54% |
| Sep 30, 2023 | -0.79% |
| Jun 30, 2023 | 24.18% |
| Mar 31, 2023 | 64.15% |
| Dec 31, 2022 | 8.70% |
| Sep 30, 2022 | 21.85% |
| Jun 30, 2022 | 10.54% |
| Mar 31, 2022 | 51.73% |
| Dec 31, 2021 | 46.91% |
Blue Ridge 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=BRBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BRBS", "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=BRBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();