Simulations Plus (SLP) EBITDA (2010 - 2026)
Simulations Plus (SLP) reported EBITDA of $5.87 million for fiscal Q3 2026 (quarter ended May 31, 2026), compared with -$71.91 million a year earlier and down 18.3% from the prior quarter.
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Analysis
Simulations Plus (SLP) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Simulations Plus' EBITDA came in at $17.12 million; for FY2025 (ended Aug 31, 2025), it came in at -$62.52 million.
- By fiscal year, EBITDA came in at $11.8 million in FY2024 (-6.1%), $12.57 million in FY2023 (-32.0%), $18.49 million in FY2022 (+24.5%) and $14.84 million in FY2021 (+1.9%).
- Five-year quarterly EBITDA spans a low of -$71.91 million in fiscal Q3 2025 and a high of $7.18 million in fiscal Q2 2026.
- Year over year, EBITDA gained in four of the last six quarters, with growth averaging 27.9%.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2025 (growth of 90.8%); the low point was fiscal Q4 2021 (a decline of 63.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.18 million (Q2 2026), $2.06 million (Q1 2026) and $2.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 5.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.87 Mn |
| Feb 28, 2026 | 7.18 Mn |
| Nov 30, 2025 | 2.06 Mn |
| Aug 31, 2025 | 2.01 Mn |
| May 31, 2025 | -71.91 Mn |
| Feb 28, 2025 | 4.99 Mn |
| Nov 30, 2024 | 2.39 Mn |
| Aug 31, 2024 | 1.06 Mn |
| May 31, 2024 | 3.14 Mn |
| Feb 29, 2024 | 5.55 Mn |
| Nov 30, 2023 | 2.05 Mn |
| Aug 31, 2023 | 753,000.00 |
| May 31, 2023 | 5.04 Mn |
| Feb 28, 2023 | 4.97 Mn |
| Nov 30, 2022 | 1.80 Mn |
| Aug 31, 2022 | 1.54 Mn |
| May 31, 2022 | 5.83 Mn |
| Feb 28, 2022 | 6.48 Mn |
| Nov 30, 2021 | 4.64 Mn |
| Aug 31, 2021 | 1.10 Mn |
API Access
Simulations Plus EBITDA 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=ebitda&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();