Shore Bancshares (SHBI) Return on Sales [ROS] (2010 - 2026)
Shore Bancshares (SHBI) reported Return on Sales [ROS] of 80.51% for Q2 2026, down 7.88 percentage points from 88.39% a year earlier and down 0.59 percentage points from the prior quarter.
Shore Bancshares (SHBI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Shore Bancshares' Return on Sales [ROS] came in at 82.79%, down 8.85 percentage points year-over-year; for FY2025, it came in at 87.22%, down 3.75 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +54.00 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 90.98% in FY2024 (+35.80 pp), 55.18% in FY2023 (+11.22 pp), 43.96% in FY2022 (+8.90 pp) and 35.06% in FY2021 (+1.84 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of +5.93 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 73.79 percentage points); the low point was Q3 2023 (a drop of 32.07 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 81.10% (Q1 2026), 85.43% (Q4 2025) and 84.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 916.79 Bn | 916.79 Bn | - | 91.99% |
| 2 | Bank Of America | 362.89 Bn | -2,013.22 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 313.65 Bn | -1,789.94 Bn | - | 48.15% |
| 4 | Morgan Stanley | 293.12 Bn | -250.91 Bn | - | 95.47% |
| 5 | Royal Bank Of Canada | 287.35 Bn | -542.69 Bn | - | 138.04% |
| 6 | Goldman Sachs | 268.91 Bn | -3,474.54 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 259.27 Bn | 259.27 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 247.03 Bn | -94.36 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 219.06 Bn | 18.54 Bn | - | 32.15% |
| 10 | Shore Bancshares | 764.45 Mn | -644.65 Mn | - | 75.14% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 75.14% |
| Jun 30, 2026 | 80.51% |
| Mar 31, 2026 | 81.10% |
| Dec 31, 2025 | 85.43% |
| Sep 30, 2025 | 84.32% |
| Jun 30, 2025 | 88.39% |
| Mar 31, 2025 | 91.06% |
| Dec 31, 2024 | 95.59% |
| Sep 30, 2024 | 91.77% |
| Jun 30, 2024 | 90.88% |
| Mar 31, 2024 | 85.11% |
| Dec 31, 2023 | 89.90% |
| Sep 30, 2023 | 17.98% |
| Jun 30, 2023 | 70.72% |
| Mar 31, 2023 | 59.00% |
| Dec 31, 2022 | 50.88% |
| Sep 30, 2022 | 50.05% |
| Jun 30, 2022 | 40.09% |
| Mar 31, 2022 | 33.14% |
| Dec 31, 2021 | 22.32% |
Shore Bancshares 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=SHBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SHBI", "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=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();