Simulations Plus (SLP) Intangibles (2012 - 2026)
Simulations Plus' Intangibles came in at $20.59 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 14.3% from $24.02 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Simulations Plus (SLP) Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Intangibles was $23.04 million, down 59.5% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by fiscal year, Intangibles was $56.94 million in FY2024 (+89.0%), $30.13 million in FY2023 (+41.7%), $21.27 million in FY2022 (+229.0%) and $6.46 million in FY2021 (-45.7%).
- The fiscal Q3 2026 figure represents the lowest quarterly Intangibles since fiscal Q3 2023.
- Year-over-year, Intangibles has declined for five consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q1 2023 (growth of 273.5%), and the weakest in fiscal Q2 2026 (a decline of 60.6%).
- Business Quant data shows SLP's Intangibles at $21.37 million (Q2 2026), $22.14 million (Q1 2026) and $23.04 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 55.65 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 11.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 765.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 27.60 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 850.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.67 Bn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | 20.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.59 Mn |
| Feb 28, 2026 | 21.37 Mn |
| Nov 30, 2025 | 22.14 Mn |
| Aug 31, 2025 | 23.04 Mn |
| May 31, 2025 | 24.02 Mn |
| Feb 28, 2025 | 54.17 Mn |
| Nov 30, 2024 | 55.59 Mn |
| Aug 31, 2024 | 56.94 Mn |
| May 31, 2024 | 28.71 Mn |
| Feb 29, 2024 | 29.53 Mn |
| Nov 30, 2023 | 29.98 Mn |
| Aug 31, 2023 | 30.13 Mn |
| May 31, 2023 | 20.49 Mn |
| Feb 28, 2023 | 23.13 Mn |
| Nov 30, 2022 | 23.65 Mn |
| Aug 31, 2022 | 21.27 Mn |
| May 31, 2022 | 7.72 Mn |
| Feb 28, 2022 | 7.88 Mn |
| Nov 30, 2021 | 6.33 Mn |
| Aug 31, 2021 | 6.46 Mn |
API Access
Simulations Plus Intangibles 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=intangibles&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();