Simulations Plus (SLP) Shares Outstanding (2010 - 2026)
Simulations Plus (SLP) posted Shares Outstanding of 20.21 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.5% from 20.11 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Simulations Plus (SLP) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Simulations Plus' Shares Outstanding came in at 20.1 million, up 0.6% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -22.4% (FY2020 to FY2025).
- In prior fiscal years, Simulations Plus' Shares Outstanding was 19.99 million in FY2024 (-0.4%), 20.08 million in FY2023 (-0.6%), 20.2 million in FY2022 (+0.3%) and 20.14 million in FY2021 (-71.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly Shares Outstanding since fiscal Q1 2023.
- On a year-over-year basis, Shares Outstanding has increased in each of the last seven quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q1 2022, with growth of 1.1%; the weakest was fiscal Q3 2022, with a decline of 74.9%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 20.16 million (Q2 2026), 20.14 million (Q1 2026) and 20.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 46.70 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 404.10 Mn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | 20.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.21 Mn |
| Feb 28, 2026 | 20.16 Mn |
| Nov 30, 2025 | 20.14 Mn |
| Aug 31, 2025 | 20.10 Mn |
| May 31, 2025 | 20.11 Mn |
| Feb 28, 2025 | 20.10 Mn |
| Nov 30, 2024 | 20.07 Mn |
| Aug 31, 2024 | 19.99 Mn |
| May 31, 2024 | 20.00 Mn |
| Feb 29, 2024 | 19.98 Mn |
| Nov 30, 2023 | 19.95 Mn |
| Aug 31, 2023 | 20.08 Mn |
| May 31, 2023 | 19.97 Mn |
| Feb 28, 2023 | 20.11 Mn |
| Nov 30, 2022 | 20.29 Mn |
| Aug 31, 2022 | 20.20 Mn |
| May 31, 2022 | 20.21 Mn |
| Feb 28, 2022 | 20.18 Mn |
| Nov 30, 2021 | 80.60 Mn |
| Aug 31, 2021 | 20.14 Mn |
API Access
Simulations Plus Shares Outstanding 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&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();