Simulations Plus (SLP) Research & Development (2010 - 2026)
Simulations Plus' Research & Development came in at $3.41 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 180.1% from $1.22 million a year earlier but down 1.8% from the prior quarter.
Simulations Plus (SLP) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Simulations Plus reported Research & Development of $11.53 million, up 61.7% year-over-year; for FY2025 (ended Aug 31, 2025), it was $6.88 million, up 19.6% from FY2024.
- Research & Development has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Going back by fiscal year, Research & Development was $5.75 million in FY2024 (+27.8%), $4.5 million in FY2023 (+40.4%), $3.21 million in FY2022 (-20.7%) and $4.05 million in FY2021 (+36.0%).
- The five-year range for quarterly Research & Development is $655,000 (fiscal Q3 2022) to $3.47 million (fiscal Q2 2026).
- Year-over-year, Research & Development has increased for three consecutive quarters, with growth averaging 59.8% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q3 2026 (growth of 180.1%), and the weakest in fiscal Q4 2022 (a decline of 39.7%).
- Business Quant data shows SLP's Research & Development at $3.47 million (Q2 2026), $2.98 million (Q1 2026) and $1.68 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 3.41 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.41 Mn |
| Feb 28, 2026 | 3.47 Mn |
| Nov 30, 2025 | 2.98 Mn |
| Aug 31, 2025 | 1.68 Mn |
| May 31, 2025 | 1.22 Mn |
| Feb 28, 2025 | 2.14 Mn |
| Nov 30, 2024 | 1.85 Mn |
| Aug 31, 2024 | 1.93 Mn |
| May 31, 2024 | 1.30 Mn |
| Feb 29, 2024 | 1.31 Mn |
| Nov 30, 2023 | 1.22 Mn |
| Aug 31, 2023 | 1.08 Mn |
| May 31, 2023 | 945,000.00 |
| Feb 28, 2023 | 1.32 Mn |
| Nov 30, 2022 | 1.17 Mn |
| Aug 31, 2022 | 769,000.00 |
| May 31, 2022 | 655,000.00 |
| Feb 28, 2022 | 902,000.00 |
| Nov 30, 2021 | 882,000.00 |
| Aug 31, 2021 | 1.28 Mn |
Simulations Plus Research & Development 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=research-and-development&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();