Research Solutions (RSSS) Return on Capital Employed [ROCE] (2011 - 2026)
Research Solutions' Return on Capital Employed [ROCE] came in at 17.20% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.79 percentage points from 12.40% a year earlier but down 2.56 percentage points from the prior quarter.
Research Solutions (RSSS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research Solutions' Return on Capital Employed [ROCE] was 17.13%, up 3.59 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +23.60 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 13.53% in FY2025 (+19.04 pp), -5.50% in FY2024 (-10.35 pp), 4.84% in FY2023 (+38.63 pp) and -33.79% in FY2022 (-27.32 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -31.55% (fiscal Q4 2022) to 19.76% (fiscal Q3 2026).
- Year-over-year, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +12.02 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2023 (a gain of 35.10 percentage points), and the weakest in fiscal Q4 2022 (a drop of 26.52 percentage points).
- Business Quant data shows RSSS's Return on Capital Employed [ROCE] at 19.76% (Q3 2026), 16.28% (Q2 2026) and 13.45% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 21.53% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 10.56% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.82% |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 17.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.20% |
| Mar 31, 2026 | 19.76% |
| Dec 31, 2025 | 16.28% |
| Sep 30, 2025 | 13.45% |
| Jun 30, 2025 | 12.40% |
| Mar 31, 2025 | 10.25% |
| Dec 31, 2024 | 7.04% |
| Sep 30, 2024 | 3.86% |
| Jun 30, 2024 | -3.28% |
| Mar 31, 2024 | -5.29% |
| Dec 31, 2023 | -7.60% |
| Sep 30, 2023 | -13.28% |
| Jun 30, 2023 | 3.55% |
| Mar 31, 2023 | -9.78% |
| Dec 31, 2022 | -18.13% |
| Sep 30, 2022 | -19.01% |
| Jun 30, 2022 | -31.55% |
| Mar 31, 2022 | -28.16% |
| Dec 31, 2021 | -17.97% |
| Sep 30, 2021 | -11.91% |
Research Solutions Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();