Simulations Plus (SLP) Long-Term Deferred Tax (2018 - 2026)
Simulations Plus (SLP) reported Long-Term Deferred Tax of $4.17 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 43.9% from $7.43 million a year earlier and down 9.2% from the prior quarter.
Simulations Plus (SLP) Long-Term Deferred Tax (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Simulations Plus posted Long-Term Deferred Tax of $4.77 million.
- By fiscal year, Long-Term Deferred Tax came in at $1.44 million in FY2023.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Long-Term Deferred Tax since fiscal Q3 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.59 million (Q2 2026), $4.61 million (Q1 2026) and $4.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.17 Mn |
| Feb 28, 2026 | 4.59 Mn |
| Nov 30, 2025 | 4.61 Mn |
| Aug 31, 2025 | 4.77 Mn |
| May 31, 2025 | 7.43 Mn |
| May 31, 2024 | 2.80 Mn |
| Feb 29, 2024 | 2.32 Mn |
| Nov 30, 2023 | 1.83 Mn |
| Aug 31, 2023 | 1.44 Mn |
| Aug 31, 2018 | 2.96 Mn |
Simulations Plus Long-Term Deferred Tax 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=long-term-deferred-tax&ticker=SLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-deferred-tax", "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=long-term-deferred-tax&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();