OptimizeRx (OPRX) Return on Sales [ROS] (2010 - 2026)
OptimizeRx (OPRX) posted Return on Sales [ROS] of -0.43% for Q2 2026, down 11.41 percentage points from 10.98% a year earlier and down 2.42 percentage points from the prior quarter.
Powered by 
Analysis
OptimizeRx (OPRX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at OptimizeRx was 11.08%, up 14.73 percentage points year-over-year; for FY2025, it came in at 10.69%, up 25.56 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +15.62 percentage points (FY2020 to FY2025).
- In prior years, OptimizeRx's Return on Sales [ROS] was -14.88% in FY2024 (+22.04 pp), -36.91% in FY2023 (-17.23 pp), -19.68% in FY2022 (-20.27 pp) and 0.59% in FY2021 (+5.52 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +17.71 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 49.68 percentage points; the weakest was Q4 2023, with a drop of 34.04 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 2.00% (Q1 2026), 26.58% (Q4 2025) and 7.86% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | OptimizeRx | 161.42 Mn | 74.28 Mn | 15.69 Mn | -0.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.43% |
| Mar 31, 2026 | 2.00% |
| Dec 31, 2025 | 26.58% |
| Sep 30, 2025 | 7.86% |
| Jun 30, 2025 | 10.98% |
| Mar 31, 2025 | -9.59% |
| Dec 31, 2024 | 11.25% |
| Sep 30, 2024 | -40.18% |
| Jun 30, 2024 | -19.93% |
| Mar 31, 2024 | -25.54% |
| Dec 31, 2023 | -38.43% |
| Sep 30, 2023 | -21.76% |
| Jun 30, 2023 | -35.09% |
| Mar 31, 2023 | -54.32% |
| Dec 31, 2022 | -4.40% |
| Sep 30, 2022 | -24.90% |
| Jun 30, 2022 | -27.96% |
| Mar 31, 2022 | -27.39% |
| Dec 31, 2021 | 3.06% |
| Sep 30, 2021 | 0.24% |
API Access
OptimizeRx 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=OPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OPRX", "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=OPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();