Simulations Plus (SLP) Price to Earnings (2011 - 2026)
Simulations Plus' (SLP) Price to Earnings was 42.68 for fiscal Q3 2026 (quarter ended May 31, 2026).
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Analysis
Simulations Plus (SLP) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024 (ended Aug 31, 2024), Price to Earnings at Simulations Plus was 73.02, down 18.0% from FY2023.
- By fiscal year, Price to Earnings came in at 89.05 in FY2023 (-8.6%), 97.46 in FY2022 (+6.9%), 91.20 in FY2021 (-82.1%) and 508.80 in FY2020 (+71.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Price to Earnings in data going back to fiscal Q4 2011.
- The high point for year-over-year Price to Earnings in five years was fiscal Q3 2024 (growth of 18.1%); the low point was fiscal Q2 2022 (a decline of 87.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Simulations Plus | 374.00 Mn | 214.14 Mn | 15.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 42.68 |
| Feb 28, 2025 | 80.28 |
| Nov 30, 2024 | 77.68 |
| Aug 31, 2024 | 73.02 |
| May 31, 2024 | 100.07 |
| Feb 29, 2024 | 78.86 |
| Nov 30, 2023 | 73.41 |
| Aug 31, 2023 | 89.05 |
| May 31, 2023 | 84.77 |
| Feb 28, 2023 | 72.43 |
| Nov 30, 2022 | 77.04 |
| Aug 31, 2022 | 97.46 |
| May 31, 2022 | 81.23 |
| Feb 28, 2022 | 68.97 |
| Nov 30, 2021 | 366.86 |
| Aug 31, 2021 | 91.20 |
| May 31, 2021 | 364.16 |
| Feb 28, 2021 | 532.15 |
| Nov 30, 2020 | 458.15 |
| Aug 31, 2020 | 508.80 |
API Access
Simulations Plus Price to Earnings 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=price-to-earnings&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();