Simulations Plus (SLP) Market Capitalization (2010 - 2026)
Simulations Plus' Market Capitalization came in at $345.9 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 46.0% from $640.7 million a year earlier but up 40.0% from the prior quarter.
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Analysis
Simulations Plus (SLP) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Simulations Plus' Market Capitalization was $285.35 million, down 60.7% from FY2024.
- Market Capitalization has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -43.0% (FY2020 to FY2025).
- Going back by fiscal year, Market Capitalization was $726.85 million in FY2024 (-18.1%), $887.04 million in FY2023 (-27.1%), $1.22 billion in FY2022 (+36.4%) and $892.16 million in FY2021 (-81.2%).
- The five-year range for quarterly Market Capitalization is $247.11 million (fiscal Q2 2026) to $3.79 billion (fiscal Q1 2022).
- Year-over-year, Market Capitalization has declined for eight consecutive quarters, with an average decline of 38.8% over the last eight quarters.
- The fastest year-over-year change in Market Capitalization over five years came in fiscal Q4 2022 (growth of 36.4%), and the weakest in fiscal Q2 2022 (a decline of 86.2%).
- Business Quant data shows SLP's Market Capitalization at $247.11 million (Q2 2026), $342.49 million (Q1 2026) and $285.35 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 345.90 Mn |
| Feb 28, 2026 | 247.11 Mn |
| Nov 30, 2025 | 342.49 Mn |
| Aug 31, 2025 | 285.35 Mn |
| May 31, 2025 | 640.70 Mn |
| Feb 28, 2025 | 582.82 Mn |
| Nov 30, 2024 | 638.10 Mn |
| Aug 31, 2024 | 726.85 Mn |
| May 31, 2024 | 965.16 Mn |
| Feb 29, 2024 | 829.32 Mn |
| Nov 30, 2023 | 782.65 Mn |
| Aug 31, 2023 | 887.04 Mn |
| May 31, 2023 | 880.57 Mn |
| Feb 28, 2023 | 758.16 Mn |
| Nov 30, 2022 | 824.54 Mn |
| Aug 31, 2022 | 1.22 Bn |
| May 31, 2022 | 960.74 Mn |
| Feb 28, 2022 | 794.96 Mn |
| Nov 30, 2021 | 3.79 Bn |
| Aug 31, 2021 | 892.16 Mn |
API Access
Simulations Plus Market Capitalization 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=market-capitalization&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();