Simulations Plus (SLP) Net Margin (2010 - 2026)
Simulations Plus' Net Margin was 16.33% in fiscal Q3 2026 (quarter ended May 31, 2026), up 346.92 percentage points from -330.58% a year earlier but down 2.33 percentage points from the prior quarter.
Simulations Plus (SLP) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Simulations Plus' Net Margin was 9.88% through May 31, 2026, up 88.49 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at -81.74%, down 95.95 percentage points from FY2024.
- Net Margin has now declined for three consecutive fiscal years, with a five-year change of -104.17 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Net Margin was 14.22% in FY2024 (-2.50 pp), 16.72% in FY2023 (-6.44 pp), 23.16% in FY2022 (+2.11 pp) and 21.05% in FY2021 (-1.39 pp).
- Quarterly Net Margin has moved between -330.58% (fiscal Q3 2025) and 29.80% (fiscal Q2 2022) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of -2.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q3 2026 (a gain of 346.92 percentage points); the worst was fiscal Q3 2025 (a drop of 347.50 percentage points).
- Per Business Quant data, SLP's Net Margin in the three fiscal quarters before Q3 2026 was 18.67% (Q2 2026), 3.67% (Q1 2026) and -3.90% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.47% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 3.19% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 8.07% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 19.80% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -48.53% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.11% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 16.91% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 5.95% |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 16.33% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 16.33% |
| Feb 28, 2026 | 18.67% |
| Nov 30, 2025 | 3.67% |
| Aug 31, 2025 | -3.90% |
| May 31, 2025 | -330.58% |
| Feb 28, 2025 | 13.70% |
| Nov 30, 2024 | 1.09% |
| Aug 31, 2024 | 4.52% |
| May 31, 2024 | 16.92% |
| Feb 29, 2024 | 22.01% |
| Nov 30, 2023 | 13.41% |
| Aug 31, 2023 | 3.42% |
| May 31, 2023 | 24.69% |
| Feb 28, 2023 | 26.50% |
| Nov 30, 2022 | 10.41% |
| Aug 31, 2022 | 8.19% |
| May 31, 2022 | 27.32% |
| Feb 28, 2022 | 29.80% |
| Nov 30, 2021 | 24.37% |
| Aug 31, 2021 | 3.10% |
Simulations Plus Net 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=net-margin&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();