Orrstown Financial Services (ORRF) Return on Sales [ROS] (2010 - 2026)
Orrstown Financial Services (ORRF) posted Return on Sales [ROS] of 80.64% for Q2 2026, up 0.51 percentage points from 80.13% a year earlier but down 1.21 percentage points from the prior quarter.
Orrstown Financial Services (ORRF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Orrstown Financial Services was 82.02%, up 14.67 percentage points year-over-year; for FY2025, it came in at 81.94%, up 18.89 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +38.57 percentage points (FY2020 to FY2025).
- In prior years, Orrstown Financial Services' Return on Sales [ROS] was 63.05% in FY2024 (-5.91 pp), 68.95% in FY2023 (+40.80 pp), 28.16% in FY2022 (-12.85 pp) and 41.00% in FY2021 (-2.36 pp).
- Quarterly Return on Sales [ROS] has run from a low of -14.07% in Q3 2022 to a high of 83.60% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +2.51 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 88.84 percentage points; the weakest was Q3 2022, with a drop of 51.01 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 81.85% (Q1 2026), 81.98% (Q4 2025) and 83.60% (Q3 2025).
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 | Orrstown Financial Services | 819.64 Mn | 819.64 Mn | - | 80.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.64% |
| Mar 31, 2026 | 81.85% |
| Dec 31, 2025 | 81.98% |
| Sep 30, 2025 | 83.60% |
| Jun 30, 2025 | 80.13% |
| Mar 31, 2025 | 82.01% |
| Dec 31, 2024 | 75.34% |
| Sep 30, 2024 | 33.38% |
| Jun 30, 2024 | 81.15% |
| Mar 31, 2024 | 79.12% |
| Dec 31, 2023 | 72.93% |
| Sep 30, 2023 | 74.77% |
| Jun 30, 2023 | 68.32% |
| Mar 31, 2023 | 59.84% |
| Dec 31, 2022 | 48.95% |
| Sep 30, 2022 | -14.07% |
| Jun 30, 2022 | 38.24% |
| Mar 31, 2022 | 38.61% |
| Dec 31, 2021 | 32.86% |
| Sep 30, 2021 | 36.94% |
Orrstown Financial Services 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=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ORRF", "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=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();