Simulations Plus (SLP) Operating Margin (2010 - 2026)
Simulations Plus' Operating Margin came in at 20.56% for fiscal Q3 2026 (quarter ended May 31, 2026), up 385.07 percentage points from -364.51% a year earlier but down 2.62 percentage points from the prior quarter.
Simulations Plus (SLP) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Simulations Plus reported Operating Margin of 14.02%, up 104.26 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was -89.33%, down 98.08 percentage points from FY2024.
- Operating Margin has declined in each of the last three fiscal years, with a five-year change of -117.23 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Operating Margin was 8.76% in FY2024 (-5.89 pp), 14.64% in FY2023 (-13.02 pp), 27.66% in FY2022 (+3.44 pp) and 24.22% in FY2021 (-3.69 pp).
- The five-year range for quarterly Operating Margin is -364.51% (fiscal Q3 2025) to 37.04% (fiscal Q2 2022).
- Year-over-year, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of +1.52 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q3 2026 (a gain of 385.07 percentage points), and the weakest in fiscal Q3 2025 (a drop of 374.65 percentage points).
- Business Quant data shows SLP's Operating Margin at 23.18% (Q2 2026), 3.87% (Q1 2026) and 3.77% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 27.75% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.37% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.22% |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 20.56% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.56% |
| Feb 28, 2026 | 23.18% |
| Nov 30, 2025 | 3.87% |
| Aug 31, 2025 | 3.77% |
| May 31, 2025 | -364.51% |
| Feb 28, 2025 | 12.09% |
| Nov 30, 2024 | 0.67% |
| Aug 31, 2024 | -6.17% |
| May 31, 2024 | 10.14% |
| Feb 29, 2024 | 24.27% |
| Nov 30, 2023 | 6.62% |
| Aug 31, 2023 | -1.82% |
| May 31, 2023 | 25.24% |
| Feb 28, 2023 | 25.61% |
| Nov 30, 2022 | 7.34% |
| Aug 31, 2022 | 5.91% |
| May 31, 2022 | 33.06% |
| Feb 28, 2022 | 37.04% |
| Nov 30, 2021 | 30.53% |
| Aug 31, 2021 | 1.77% |
Simulations Plus Operating Margin 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=operating-margin&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();