Simulations Plus (SLP) Non-Current Assets (2011 - 2026)
Simulations Plus (SLP) posted Non-Current Assets of $77.85 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 5.7% from $82.59 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Simulations Plus (SLP) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus' Non-Current Assets came in at $80.39 million, down 48.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- In prior fiscal years, Simulations Plus' Non-Current Assets was $157.3 million in FY2024 (+182.3%), $55.73 million in FY2023 (+34.0%), $41.59 million in FY2022 (+2.3%) and $40.67 million in FY2021 (+3.4%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Non-Current Assets since fiscal Q3 2024.
- On a year-over-year basis, Non-Current Assets has declined in each of the last four quarters, with growth averaging 48.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2024, with growth of 182.3%; the weakest was fiscal Q1 2026, with a decline of 49.1%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $78.92 million (Q2 2026), $79.69 million (Q1 2026) and $80.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 77.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 77.85 Mn |
| Feb 28, 2026 | 78.92 Mn |
| Nov 30, 2025 | 79.69 Mn |
| Aug 31, 2025 | 80.39 Mn |
| May 31, 2025 | 82.59 Mn |
| Feb 28, 2025 | 154.71 Mn |
| Nov 30, 2024 | 156.52 Mn |
| Aug 31, 2024 | 157.30 Mn |
| May 31, 2024 | 57.08 Mn |
| Feb 29, 2024 | 66.02 Mn |
| Nov 30, 2023 | 56.09 Mn |
| Aug 31, 2023 | 55.73 Mn |
| May 31, 2023 | 41.83 Mn |
| Feb 28, 2023 | 41.73 Mn |
| Nov 30, 2022 | 41.73 Mn |
| Aug 31, 2022 | 41.59 Mn |
| May 31, 2022 | 41.37 Mn |
| Feb 28, 2022 | 41.42 Mn |
| Nov 30, 2021 | 41.09 Mn |
| Aug 31, 2021 | 40.67 Mn |
API Access
Simulations Plus 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=non-current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();