Skyline Bankshares (SLBK) Return on Sales [ROS] (2015 - 2026)
Skyline Bankshares (SLBK) reported Return on Sales [ROS] of 495.48% for Q2 2026, down 12.80 percentage points from 508.27% a year earlier and down 31.27 percentage points from the prior quarter.
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Analysis
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 378.38%, up 56.08 percentage points year-over-year; for FY2025, it was 375.44%, up 107.37 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +123.94 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 268.07% in FY2024 (+23.52 pp), 244.55% in FY2023 (+44.85 pp), 199.70% in FY2022 (+16.12 pp) and 183.58% in FY2021 (-67.92 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 134.17% in Q4 2021 and a high of 536.09% in Q1 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +63.10 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 202.11 percentage points); the low point was Q4 2021 (a drop of 135.76 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 526.75% (Q1 2026), 212.36% (Q4 2025) and 518.03% (Q3 2025).
Peer Set
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 | Skyline Bankshares | 159.39 Mn | 159.39 Mn | - | 495.48% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 495.48% |
| Mar 31, 2026 | 526.75% |
| Dec 31, 2025 | 212.36% |
| Sep 30, 2025 | 518.03% |
| Jun 30, 2025 | 508.27% |
| Mar 31, 2025 | 536.09% |
| Dec 31, 2024 | 168.95% |
| Sep 30, 2024 | 315.92% |
| Jun 30, 2024 | 374.72% |
| Mar 31, 2024 | 385.98% |
| Dec 31, 2023 | 253.43% |
| Sep 30, 2023 | 233.71% |
| Jun 30, 2023 | 257.73% |
| Mar 31, 2023 | 231.61% |
| Dec 31, 2022 | 217.71% |
| Sep 30, 2022 | 207.63% |
| Jun 30, 2022 | 172.72% |
| Mar 31, 2022 | 199.88% |
| Dec 31, 2021 | 134.17% |
| Sep 30, 2021 | 217.26% |
API Access
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_KEYimport 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();