Simulations Plus (SLP) Revenue (2010 - 2026)
Simulations Plus (SLP) reported Revenue of $21.89 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 7.5% from $20.36 million a year earlier but down 9.9% from the prior quarter.
Simulations Plus (SLP) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Simulations Plus' Revenue came in at $82.06 million, up 2.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $79.18 million, up 13.1% from FY2024.
- Revenue has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $70.01 million in FY2024 (+17.5%), $59.58 million in FY2023 (+10.5%), $53.91 million in FY2022 (+16.0%) and $46.47 million in FY2021 (+11.7%).
- Five-year quarterly Revenue spans a low of $9.84 million in fiscal Q4 2021 and a high of $24.29 million in fiscal Q2 2026.
- Year over year, Revenue gained in six of the last eight quarters, with growth averaging 11.1%.
- The high point for year-over-year Revenue in five years was fiscal Q4 2023 (growth of 33.2%); the low point was fiscal Q4 2025 (a decline of 6.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $24.29 million (Q2 2026), $18.42 million (Q1 2026) and $17.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 21.89 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 21.89 Mn |
| Feb 28, 2026 | 24.29 Mn |
| Nov 30, 2025 | 18.42 Mn |
| Aug 31, 2025 | 17.46 Mn |
| May 31, 2025 | 20.36 Mn |
| Feb 28, 2025 | 22.43 Mn |
| Nov 30, 2024 | 18.92 Mn |
| Aug 31, 2024 | 18.66 Mn |
| May 31, 2024 | 18.54 Mn |
| Feb 29, 2024 | 18.31 Mn |
| Nov 30, 2023 | 14.50 Mn |
| Aug 31, 2023 | 15.63 Mn |
| May 31, 2023 | 16.23 Mn |
| Feb 28, 2023 | 15.75 Mn |
| Nov 30, 2022 | 11.96 Mn |
| Aug 31, 2022 | 11.73 Mn |
| May 31, 2022 | 14.96 Mn |
| Feb 28, 2022 | 14.80 Mn |
| Nov 30, 2021 | 12.42 Mn |
| Aug 31, 2021 | 9.84 Mn |
Simulations Plus Revenue 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=revenue&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();