Simulations Plus (SLP) EBT (2010 - 2026)
Simulations Plus (SLP) posted EBT of $4.81 million for fiscal Q3 2026 (quarter ended May 31, 2026), compared with -$74.04 million a year earlier and down 18.5% from the prior quarter.
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Analysis
Simulations Plus (SLP) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBT at Simulations Plus was $12.63 million; for FY2025 (ended Aug 31, 2025), it came in at -$69.38 million.
- In prior fiscal years, Simulations Plus' EBT was $12.41 million in FY2024 (+6.1%), $11.7 million in FY2023 (-22.6%), $15.12 million in FY2022 (+36.4%) and $11.09 million in FY2021 (-2.7%).
- Quarterly EBT has run from a low of -$74.04 million in fiscal Q3 2025 to a high of $5.9 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBT increased in three of the last five quarters, with growth averaging 37.5%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q4 2022, with growth of 409.7%; the weakest was fiscal Q4 2023, with a decline of 92.3%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $5.9 million (Q2 2026), $1 million (Q1 2026) and $923,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 349.53 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 17.53 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 162.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 152.44 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -444.80 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 45.37 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.21 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 74.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 4.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.81 Mn |
| Feb 28, 2026 | 5.90 Mn |
| Nov 30, 2025 | 1.00 Mn |
| Aug 31, 2025 | 923,000.00 |
| May 31, 2025 | -74.04 Mn |
| Feb 28, 2025 | 3.51 Mn |
| Nov 30, 2024 | 300,000.00 |
| Aug 31, 2024 | 863,000.00 |
| May 31, 2024 | 3.90 Mn |
| Feb 29, 2024 | 5.25 Mn |
| Nov 30, 2023 | 2.41 Mn |
| Aug 31, 2023 | 69,000.00 |
| May 31, 2023 | 4.94 Mn |
| Feb 28, 2023 | 5.07 Mn |
| Nov 30, 2022 | 1.62 Mn |
| Aug 31, 2022 | 892,000.00 |
| May 31, 2022 | 4.83 Mn |
| Feb 28, 2022 | 5.53 Mn |
| Nov 30, 2021 | 3.86 Mn |
| Aug 31, 2021 | 175,000.00 |
API Access
Simulations Plus EBT 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=ebt&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();