Simulations Plus (SLP) Current Assets (2011 - 2026)
Simulations Plus' Current Assets was $75.13 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 45.1% from $51.78 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Simulations Plus (SLP) Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Current Assets at Simulations Plus came in at $51.55 million, up 31.0% from FY2024.
- Current Assets shows a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- In earlier fiscal years, Current Assets was $39.34 million in FY2024 (-69.8%), $130.37 million in FY2023 (-11.2%), $146.79 million in FY2022 (+5.4%) and $139.31 million in FY2021 (+7.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Current Assets since fiscal Q3 2024.
- Compared with a year earlier, Current Assets has increased for four straight quarters, with an average decline of 12.4% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was fiscal Q3 2026 (growth of 45.1%); the worst was fiscal Q4 2024 (a decline of 69.8%).
- Per Business Quant data, SLP's Current Assets in the three fiscal quarters before Q3 2026 was $67.56 million (Q2 2026), $58.14 million (Q1 2026) and $51.55 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 7.95 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.57 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 2.65 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.37 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.34 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.57 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 467.06 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.65 Bn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 75.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 75.13 Mn |
| Feb 28, 2026 | 67.56 Mn |
| Nov 30, 2025 | 58.14 Mn |
| Aug 31, 2025 | 51.55 Mn |
| May 31, 2025 | 51.78 Mn |
| Feb 28, 2025 | 46.72 Mn |
| Nov 30, 2024 | 40.40 Mn |
| Aug 31, 2024 | 39.34 Mn |
| May 31, 2024 | 135.62 Mn |
| Feb 29, 2024 | 127.96 Mn |
| Nov 30, 2023 | 129.69 Mn |
| Aug 31, 2023 | 130.37 Mn |
| May 31, 2023 | 137.31 Mn |
| Feb 28, 2023 | 131.47 Mn |
| Nov 30, 2022 | 148.73 Mn |
| Aug 31, 2022 | 146.79 Mn |
| May 31, 2022 | 144.85 Mn |
| Feb 28, 2022 | 143.63 Mn |
| Nov 30, 2021 | 139.91 Mn |
| Aug 31, 2021 | 139.31 Mn |
API Access
Simulations Plus 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=current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();