Simulations Plus (SLP) Other Non-Current Assets (2011 - 2026)
Simulations Plus (SLP) posted Other Non-Current Assets of $11.2 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 0.9% from $11.3 million a year earlier but up 0.4% from the prior quarter.
Simulations Plus (SLP) Other Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Other Non-Current Assets came in at $11.12 million, down 11.1% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In prior fiscal years, Simulations Plus' Other Non-Current Assets was $12.5 million in FY2024 (+10.3%), $11.34 million in FY2023 (+18.5%), $9.56 million in FY2022 (+25.1%) and $7.65 million in FY2021 (+25.6%).
- Quarterly Other Non-Current Assets has run from a low of $7.65 million in fiscal Q4 2021 to a high of $12.61 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Other Non-Current Assets has declined in each of the last five quarters, with an average decline of 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was fiscal Q1 2022, with growth of 26.2%; the weakest was fiscal Q4 2025, with a decline of 11.1%.
- According to Business Quant data, Other Non-Current Assets for the three prior fiscal quarters was $11.16 million (Q2 2026), $11.29 million (Q1 2026) and $11.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 60.47 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 20.13 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 185.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 688.18 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 10.99 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 464.50 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 47.68 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 190.00 Mn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | 11.20 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 11.20 Mn |
| Feb 28, 2026 | 11.16 Mn |
| Nov 30, 2025 | 11.29 Mn |
| Aug 31, 2025 | 11.12 Mn |
| May 31, 2025 | 11.30 Mn |
| Feb 28, 2025 | 12.45 Mn |
| Nov 30, 2024 | 12.44 Mn |
| Aug 31, 2024 | 12.50 Mn |
| May 31, 2024 | 12.61 Mn |
| Feb 29, 2024 | 12.33 Mn |
| Nov 30, 2023 | 11.90 Mn |
| Aug 31, 2023 | 11.34 Mn |
| May 31, 2023 | 11.00 Mn |
| Feb 28, 2023 | 10.50 Mn |
| Nov 30, 2022 | 10.07 Mn |
| Aug 31, 2022 | 9.56 Mn |
| May 31, 2022 | 8.97 Mn |
| Feb 28, 2022 | 8.53 Mn |
| Nov 30, 2021 | 8.19 Mn |
| Aug 31, 2021 | 7.65 Mn |
Simulations Plus Other Non-Current Assets 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=other-non-current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();