Skyline Bankshares (SLBK) Return on Sales [ROS] (2015 - 2026)
Skyline Bankshares (SLBK) reported Return on Sales [ROS] of 59.61% for Q2 2026, down 0.70 percentage points from 60.31% a year earlier and down 0.09 percentage points from the prior quarter.
Skyline Bankshares (SLBK) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Skyline Bankshares' Return on Sales [ROS] came in at 60.32%, up 5.75 percentage points year-over-year; for FY2025, it was 60.82%, up 10.72 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +28.81 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 50.10% in FY2024 (+3.48 pp), 46.61% in FY2023 (+10.59 pp), 36.02% in FY2022 (-0.83 pp) and 36.85% in FY2021 (+4.85 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +4.95 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 17.01 percentage points); the low point was Q2 2022 (a drop of 4.30 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 59.71% (Q1 2026), 60.90% (Q4 2025) and 61.14% (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 | Skyline Bankshares | 155.99 Mn | 155.99 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.61% |
| Mar 31, 2026 | 59.71% |
| Dec 31, 2025 | 60.90% |
| Sep 30, 2025 | 61.14% |
| Jun 30, 2025 | 60.31% |
| Mar 31, 2025 | 60.91% |
| Dec 31, 2024 | 51.28% |
| Sep 30, 2024 | 44.14% |
| Jun 30, 2024 | 52.14% |
| Mar 31, 2024 | 53.15% |
| Dec 31, 2023 | 51.30% |
| Sep 30, 2023 | 45.21% |
| Jun 30, 2023 | 48.22% |
| Mar 31, 2023 | 41.66% |
| Dec 31, 2022 | 38.05% |
| Sep 30, 2022 | 37.19% |
| Jun 30, 2022 | 32.80% |
| Mar 31, 2022 | 35.76% |
| Dec 31, 2021 | 35.53% |
| Sep 30, 2021 | 40.17% |
Skyline 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=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SLBK", "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=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();