Simulations Plus (SLP) Total Current Liabilities (2011 - 2026)
Simulations Plus (SLP) recorded Total Current Liabilities of $13.57 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 33.9% from $10.13 million a year earlier and up 9.9% from the prior quarter.
Simulations Plus (SLP) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus reported Total Current Liabilities of $6.73 million, down 44.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $12.07 million in FY2024 (+0.7%), $11.99 million in FY2023 (+55.0%), $7.74 million in FY2022 (-33.2%) and $11.57 million in FY2021 (+110.2%).
- The fiscal Q3 2026 figure is the highest quarterly Total Current Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 142.1% in fiscal Q2 2024, against a decline of 44.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.34 million (Q2 2026), $10.34 million (Q1 2026) and $6.73 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 13.57 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 13.57 Mn |
| Feb 28, 2026 | 12.34 Mn |
| Nov 30, 2025 | 10.34 Mn |
| Aug 31, 2025 | 6.73 Mn |
| May 31, 2025 | 10.13 Mn |
| Feb 28, 2025 | 10.70 Mn |
| Nov 30, 2024 | 9.74 Mn |
| Aug 31, 2024 | 12.07 Mn |
| May 31, 2024 | 11.32 Mn |
| Feb 29, 2024 | 14.53 Mn |
| Nov 30, 2023 | 8.59 Mn |
| Aug 31, 2023 | 11.99 Mn |
| May 31, 2023 | 9.02 Mn |
| Feb 28, 2023 | 6.00 Mn |
| Nov 30, 2022 | 8.04 Mn |
| Aug 31, 2022 | 7.74 Mn |
| May 31, 2022 | 5.92 Mn |
| Feb 28, 2022 | 9.00 Mn |
| Nov 30, 2021 | 9.62 Mn |
| Aug 31, 2021 | 11.57 Mn |
Simulations Plus Total Current Liabilities 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=total-current-liabilities&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();