Research Solutions (RSSS) Return on Sales [ROS] (2010 - 2026)
Research Solutions' Return on Sales [ROS] was 6.97% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.71 percentage points from 9.69% a year earlier and down 1.65 percentage points from the prior quarter.
Research Solutions (RSSS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Sales [ROS] at Research Solutions came in at 7.43%, up 2.33 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +8.32 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 5.10% in FY2025 (+6.82 pp), -1.72% in FY2024 (-2.36 pp), 0.63% in FY2023 (+5.59 pp) and -4.96% in FY2022 (-4.06 pp).
- Quarterly Return on Sales [ROS] has moved between -10.92% (fiscal Q1 2024) and 9.69% (fiscal Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +4.81 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2025 (a gain of 16.29 percentage points); the worst was fiscal Q1 2024 (a drop of 12.99 percentage points).
- Per Business Quant data, RSSS's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was 8.62% (Q3 2026), 6.27% (Q2 2026) and 7.81% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.42 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 | 11.23 Bn | 5.20 Bn | 728.00 Mn | 8.22% |
| 10 | Research Solutions | 71.38 Mn | 22.48 Mn | 6.40 Mn | 6.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.97% |
| Mar 31, 2026 | 8.62% |
| Dec 31, 2025 | 6.27% |
| Sep 30, 2025 | 7.81% |
| Jun 30, 2025 | 9.69% |
| Mar 31, 2025 | 4.40% |
| Dec 31, 2024 | 0.78% |
| Sep 30, 2024 | 5.37% |
| Jun 30, 2024 | 5.45% |
| Mar 31, 2024 | 0.72% |
| Dec 31, 2023 | -4.07% |
| Sep 30, 2023 | -10.92% |
| Jun 30, 2023 | 2.56% |
| Mar 31, 2023 | 1.29% |
| Dec 31, 2022 | -3.78% |
| Sep 30, 2022 | 2.07% |
| Jun 30, 2022 | -5.18% |
| Mar 31, 2022 | -3.88% |
| Dec 31, 2021 | -6.12% |
| Sep 30, 2021 | -4.73% |
Research Solutions 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=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RSSS", "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=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();