Simulations Plus (SLP) Gross Margin (2010 - 2026)
Simulations Plus (SLP) recorded Gross Margin of 69.12% in fiscal Q3 2026 (quarter ended May 31, 2026), up 5.12 percentage points from 64.00% a year earlier and up 2.66 percentage points from the prior quarter.
Simulations Plus (SLP) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Simulations Plus' Gross Margin came in at 63.38% as of May 31, 2026, up 9.63 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 58.38%, down 3.26 percentage points from FY2024.
- Annual Gross Margin has a five-year change of -16.02 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Gross Margin came in at 61.63% in FY2024 (-18.85 pp), 80.48% in FY2023 (+0.55 pp), 79.92% in FY2022 (+2.74 pp) and 77.19% in FY2021 (+2.79 pp).
- The fiscal Q3 2026 figure is the highest quarterly Gross Margin since fiscal Q3 2024.
- On a year-over-year basis, Gross Margin has increased for four consecutive quarters, with an average year-over-year change of -4.87 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 19.81 percentage points in fiscal Q4 2025, against a drop of 41.82 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 66.46% (Q2 2026), 59.12% (Q1 2026) and 56.38% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 75.00% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 77.21% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 27.04% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 81.74% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 69.43% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 72.62% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 56.53% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 78.70% |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 69.12% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 69.12% |
| Feb 28, 2026 | 66.46% |
| Nov 30, 2025 | 59.12% |
| Aug 31, 2025 | 56.38% |
| May 31, 2025 | 64.00% |
| Feb 28, 2025 | 58.52% |
| Nov 30, 2024 | 53.99% |
| Aug 31, 2024 | 36.57% |
| May 31, 2024 | 71.49% |
| Feb 29, 2024 | 72.23% |
| Nov 30, 2023 | 67.92% |
| Aug 31, 2023 | 78.39% |
| May 31, 2023 | 81.76% |
| Feb 28, 2023 | 83.37% |
| Nov 30, 2022 | 77.67% |
| Aug 31, 2022 | 77.19% |
| May 31, 2022 | 82.89% |
| Feb 28, 2022 | 80.87% |
| Nov 30, 2021 | 77.80% |
| Aug 31, 2021 | 71.70% |
Simulations Plus Gross 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=gross-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();