Simulations Plus (SLP) Assets (2011 - 2026)
Simulations Plus' Assets came in at $152.98 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 13.9% from $134.36 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Simulations Plus (SLP) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Assets was $131.94 million, down 32.9% from FY2024.
- Assets carries a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Going back by fiscal year, Assets was $196.64 million in FY2024 (+5.7%), $186.1 million in FY2023 (-1.2%), $188.38 million in FY2022 (+4.7%) and $179.98 million in FY2021 (+6.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Assets since fiscal Q2 2025.
- Year-over-year, Assets increased in four of the last eight quarters, with an average decline of 11.4%.
- The fastest year-over-year change in Assets over five years came in fiscal Q3 2026 (growth of 13.9%), and the weakest in fiscal Q4 2025 (a decline of 32.9%).
- Business Quant data shows SLP's Assets at $146.48 million (Q2 2026), $137.83 million (Q1 2026) and $131.94 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 152.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 152.98 Mn |
| Feb 28, 2026 | 146.48 Mn |
| Nov 30, 2025 | 137.83 Mn |
| Aug 31, 2025 | 131.94 Mn |
| May 31, 2025 | 134.36 Mn |
| Feb 28, 2025 | 201.43 Mn |
| Nov 30, 2024 | 196.92 Mn |
| Aug 31, 2024 | 196.64 Mn |
| May 31, 2024 | 192.69 Mn |
| Feb 29, 2024 | 193.97 Mn |
| Nov 30, 2023 | 185.78 Mn |
| Aug 31, 2023 | 186.10 Mn |
| May 31, 2023 | 179.13 Mn |
| Feb 28, 2023 | 173.20 Mn |
| Nov 30, 2022 | 190.46 Mn |
| Aug 31, 2022 | 188.38 Mn |
| May 31, 2022 | 186.22 Mn |
| Feb 28, 2022 | 185.04 Mn |
| Nov 30, 2021 | 180.99 Mn |
| Aug 31, 2021 | 179.98 Mn |
API Access
Simulations Plus Assets 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=assets&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();