Simulations Plus (SLP) EBITDA Margin (2010 - 2026)
Simulations Plus (SLP) reported EBITDA Margin of 26.81% for fiscal Q3 2026 (quarter ended May 31, 2026), up 379.94 percentage points from -353.13% a year earlier but down 2.74 percentage points from the prior quarter.
Simulations Plus (SLP) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Simulations Plus' EBITDA Margin came in at 20.86%, up 99.83 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was -78.96%, down 95.81 percentage points from FY2024.
- EBITDA Margin has declined for three consecutive fiscal years, with a five-year change of -113.98 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at 16.85% in FY2024 (-4.24 pp), 21.09% in FY2023 (-13.20 pp), 34.29% in FY2022 (+2.35 pp) and 31.94% in FY2021 (-3.08 pp).
- Five-year quarterly EBITDA Margin spans a low of -353.13% in fiscal Q3 2025 and a high of 43.76% in fiscal Q2 2022.
- Year over year, EBITDA Margin gained in four of the last eight quarters, with an average year-over-year change of +1.61 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2026 (a gain of 379.94 percentage points); the low point was fiscal Q3 2025 (a drop of 370.08 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 29.55% (Q2 2026), 11.18% (Q1 2026) and 11.53% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 31.34% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.61% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 9.85% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 31.78% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 18.84% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 12.80% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.79% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 20.65% |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 26.81% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 26.81% |
| Feb 28, 2026 | 29.55% |
| Nov 30, 2025 | 11.18% |
| Aug 31, 2025 | 11.53% |
| May 31, 2025 | -353.13% |
| Feb 28, 2025 | 22.23% |
| Nov 30, 2024 | 12.63% |
| Aug 31, 2024 | 5.65% |
| May 31, 2024 | 16.95% |
| Feb 29, 2024 | 30.30% |
| Nov 30, 2023 | 14.14% |
| Aug 31, 2023 | 4.82% |
| May 31, 2023 | 31.06% |
| Feb 28, 2023 | 31.55% |
| Nov 30, 2022 | 15.05% |
| Aug 31, 2022 | 13.16% |
| May 31, 2022 | 38.97% |
| Feb 28, 2022 | 43.76% |
| Nov 30, 2021 | 37.34% |
| Aug 31, 2021 | 11.20% |
Simulations Plus EBITDA 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=ebitda-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();