Simulations Plus (SLP) Shares Outstanding (Entity) (2010 - 2026)
Simulations Plus (SLP) reported Shares Outstanding (Entity) of 20.22 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.5% from 20.12 million a year earlier and up 0.1% from the prior quarter.
Simulations Plus (SLP) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Simulations Plus posted Shares Outstanding (Entity) of 20.14 million, up 0.4% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding (Entity) came in at 20.05 million in FY2024 (+0.6%), 19.94 million in FY2023 (-1.6%), 20.26 million in FY2022 (+0.6%) and 20.14 million in FY2021 (-74.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since fiscal Q1 2023.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last ten quarters, with growth averaging 0.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q1 2022 (growth of 1.1%); the low point was fiscal Q3 2022 (a decline of 74.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 20.21 million (Q2 2026), 20.15 million (Q1 2026) and 20.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 161.91 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 585.29 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 577.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 110.72 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 93.53 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.20 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.30 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 405.20 Mn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | 20.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.22 Mn |
| Feb 28, 2026 | 20.21 Mn |
| Nov 30, 2025 | 20.15 Mn |
| Aug 31, 2025 | 20.14 Mn |
| May 31, 2025 | 20.12 Mn |
| Feb 28, 2025 | 20.11 Mn |
| Nov 30, 2024 | 20.09 Mn |
| Aug 31, 2024 | 20.05 Mn |
| May 31, 2024 | 20.01 Mn |
| Feb 29, 2024 | 19.98 Mn |
| Nov 30, 2023 | 19.97 Mn |
| Aug 31, 2023 | 19.94 Mn |
| May 31, 2023 | 19.93 Mn |
| Feb 28, 2023 | 19.93 Mn |
| Nov 30, 2022 | 20.31 Mn |
| Aug 31, 2022 | 20.26 Mn |
| May 31, 2022 | 20.23 Mn |
| Feb 28, 2022 | 20.18 Mn |
| Nov 30, 2021 | 80.68 Mn |
| Aug 31, 2021 | 20.14 Mn |
Simulations Plus Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();