Simulations Plus (SLP) Short-term Investments (2020 - 2026)
Simulations Plus (SLP) recorded Short-term Investments of $14.67 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 877.7% from $1.5 million a year earlier but down 9.0% from the prior quarter.
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Analysis
Simulations Plus (SLP) Short-term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus reported Short-term Investments of $1.5 million, down 84.9% from FY2024.
- Annual Short-term Investments has declined for four straight fiscal years, with a five-year compound annual growth rate of -53.2% (FY2020 to FY2025).
- Across earlier fiscal years, Short-term Investments came in at $9.94 million in FY2024 (-82.8%), $57.94 million in FY2023 (-24.4%), $76.67 million in FY2022 (-11.5%) and $86.62 million in FY2021 (+29.7%).
- Quarterly Short-term Investments has ranged from $1.5 million in fiscal Q3 2025 to $86.62 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Short-term Investments rose in two of the last eight quarters, with growth averaging 57.1%.
- Peak year-over-year performance for Short-term Investments in the last five years was growth of 877.7% in fiscal Q3 2026, against a decline of 85.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.11 million (Q2 2026), $5.5 million (Q1 2026) and $1.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | Simulations Plus | 373.80 Mn | 213.93 Mn | 15.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 14.67 Mn |
| Feb 28, 2026 | 16.11 Mn |
| Nov 30, 2025 | 5.50 Mn |
| Aug 31, 2025 | 1.50 Mn |
| May 31, 2025 | 1.50 Mn |
| Feb 28, 2025 | 10.39 Mn |
| Nov 30, 2024 | 11.98 Mn |
| Aug 31, 2024 | 9.94 Mn |
| May 31, 2024 | 9.88 Mn |
| Feb 29, 2024 | 71.47 Mn |
| Nov 30, 2023 | 74.10 Mn |
| Aug 31, 2023 | 57.94 Mn |
| May 31, 2023 | 67.23 Mn |
| Feb 28, 2023 | 76.05 Mn |
| Nov 30, 2022 | 82.14 Mn |
| Aug 31, 2022 | 76.67 Mn |
| Feb 28, 2022 | 64.19 Mn |
| Nov 30, 2021 | 82.66 Mn |
| Aug 31, 2021 | 86.62 Mn |
| May 31, 2021 | 60.95 Mn |
API Access
Simulations Plus Short-term Investments 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=short-term-investments&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();