BV Financial (BVFL) Return on Sales [ROS] (2009 - 2026)
BV Financial (BVFL) posted Return on Sales [ROS] of 52.11% for Q1 2026, down 12.60 percentage points from 64.71% a year earlier and down 45.94 percentage points from the prior quarter.
BV Financial (BVFL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at BV Financial was 76.72%, up 5.77 percentage points year-over-year; for FY2025, it came in at 79.93%, up 5.92 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a three-year change of +29.39 percentage points (FY2022 to FY2025).
- In prior years, BV Financial's Return on Sales [ROS] was 74.01% in FY2024 (+0.79 pp), 73.22% in FY2023 (+22.68 pp) and 50.54% in FY2022.
- The Q1 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -0.11 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 38.53 percentage points; the weakest was Q1 2025, with a drop of 13.04 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 98.05% (Q4 2025), 83.19% (Q3 2025) and 71.40% (Q2 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 | BV Financial | 181.23 Mn | 181.23 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.94% |
| Mar 31, 2026 | 52.11% |
| Dec 31, 2025 | 98.05% |
| Sep 30, 2025 | 83.19% |
| Jun 30, 2025 | 71.40% |
| Mar 31, 2025 | 64.71% |
| Dec 31, 2024 | 59.52% |
| Sep 30, 2024 | 80.88% |
| Jun 30, 2024 | 78.14% |
| Mar 31, 2024 | 77.75% |
| Dec 31, 2023 | 68.48% |
| Sep 30, 2023 | 81.18% |
| Jun 30, 2023 | 78.22% |
| Mar 31, 2023 | 64.32% |
| Dec 31, 2022 | 45.39% |
| Sep 30, 2022 | 52.91% |
| Jun 30, 2022 | 51.14% |
| Mar 31, 2022 | 54.37% |
| Jun 30, 2009 | -438.29% |
| Mar 31, 2009 | 96.13% |
BV Financial 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=BVFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BVFL", "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=BVFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();