Simulations Plus (SLP) Return on Capital Employed [ROCE] (2011 - 2026)
Simulations Plus' Return on Capital Employed [ROCE] came in at 8.45% for fiscal Q3 2026 (quarter ended May 31, 2026), up 54.43 percentage points from -45.98% a year earlier and up 60.23 percentage points from the prior quarter.
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Analysis
Simulations Plus (SLP) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Simulations Plus' Return on Capital Employed [ROCE] was -44.89%, down 48.31 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three fiscal years, with a five-year change of -56.35 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 3.42% in FY2024 (-1.56 pp), 4.98% in FY2023 (-3.47 pp), 8.45% in FY2022 (+1.53 pp) and 6.92% in FY2021 (-4.54 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2020.
- Year-over-year, Return on Capital Employed [ROCE] increased in 1 of the last eight quarters, with an average year-over-year change of -21.85 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2026 (a gain of 54.43 percentage points), and the weakest in fiscal Q4 2025 (a drop of 59.30 percentage points).
- Business Quant data shows SLP's Return on Capital Employed [ROCE] at -51.78% (Q2 2026), -56.32% (Q1 2026) and -55.95% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Simulations Plus | 374.00 Mn | 214.14 Mn | 15.13 Mn | 8.45% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 8.45% |
| Feb 28, 2026 | -51.78% |
| Nov 30, 2025 | -56.32% |
| Aug 31, 2025 | -55.95% |
| May 31, 2025 | -45.98% |
| Feb 28, 2025 | 1.89% |
| Nov 30, 2024 | 2.83% |
| Aug 31, 2024 | 3.36% |
| May 31, 2024 | 3.84% |
| Feb 29, 2024 | 5.26% |
| Nov 30, 2023 | 4.97% |
| Aug 31, 2023 | 5.11% |
| May 31, 2023 | 5.81% |
| Feb 28, 2023 | 6.00% |
| Nov 30, 2022 | 6.61% |
| Aug 31, 2022 | 8.30% |
| May 31, 2022 | 8.01% |
| Feb 28, 2022 | 8.04% |
| Nov 30, 2021 | 7.02% |
| Aug 31, 2021 | 6.70% |
API Access
Simulations Plus 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=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SLP", "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=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();