Simulations Plus (SLP) Property, Plant & Equipment (Net) (2011 - 2026)
Simulations Plus (SLP) posted Property, Plant & Equipment (Net) of $513,000 for fiscal Q3 2026 (quarter ended May 31, 2026), down 24.7% from $681,000 a year earlier and down 31.8% from the prior quarter.
Simulations Plus (SLP) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Property, Plant & Equipment (Net) came in at $880,000, up 8.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In prior fiscal years, Simulations Plus' Property, Plant & Equipment (Net) was $812,000 in FY2024 (+21.0%), $671,000 in FY2023 (+6.2%), $632,000 in FY2022 (-65.6%) and $1.84 million in FY2021 (+319.6%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q1 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last three quarters, with growth averaging 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q4 2021, with growth of 319.6%; the weakest was fiscal Q1 2023, with a decline of 70.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $752,000 (Q2 2026), $793,000 (Q1 2026) and $880,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Simulations Plus | 374.00 Mn | 214.14 Mn | 15.13 Mn | 513,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 513,000.00 |
| Feb 28, 2026 | 752,000.00 |
| Nov 30, 2025 | 793,000.00 |
| Aug 31, 2025 | 880,000.00 |
| May 31, 2025 | 681,000.00 |
| Feb 28, 2025 | 800,000.00 |
| Nov 30, 2024 | 819,000.00 |
| Aug 31, 2024 | 812,000.00 |
| May 31, 2024 | 882,000.00 |
| Feb 29, 2024 | 843,000.00 |
| Nov 30, 2023 | 487,000.00 |
| Aug 31, 2023 | 671,000.00 |
| May 31, 2023 | 701,000.00 |
| Feb 28, 2023 | 822,000.00 |
| Nov 30, 2022 | 682,000.00 |
| Aug 31, 2022 | 632,000.00 |
| May 31, 2022 | 607,000.00 |
| Feb 28, 2022 | 634,000.00 |
| Nov 30, 2021 | 2.34 Mn |
| Aug 31, 2021 | 1.84 Mn |
Simulations Plus Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();