Simulations Plus (SLP) EV to EBITDA (2011 - 2026)
Simulations Plus' (SLP) EV to EBITDA was 17.29 for fiscal Q3 2026 (quarter ended May 31, 2026).
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Analysis
Simulations Plus (SLP) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Simulations Plus' EV to EBITDA came in at 10.87; for FY2024 (ended Aug 31, 2024), it was 59.90, down 2.5% from FY2023.
- By fiscal year, EV to EBITDA came in at 61.41 in FY2023 (+4.3%), 58.88 in FY2022 (+13.7%), 51.78 in FY2021 (-83.7%) and 317.99 in FY2020 (+68.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EV to EBITDA in data going back to fiscal Q4 2011.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q3 2024 (growth of 29.7%); the low point was fiscal Q2 2022 (a decline of 89.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.29 |
| Feb 28, 2025 | 48.50 |
| Nov 30, 2024 | 51.08 |
| Aug 31, 2024 | 59.90 |
| May 31, 2024 | 73.62 |
| Feb 29, 2024 | 53.82 |
| Nov 30, 2023 | 52.19 |
| Aug 31, 2023 | 61.41 |
| May 31, 2023 | 56.77 |
| Feb 28, 2023 | 45.45 |
| Nov 30, 2022 | 44.28 |
| Aug 31, 2022 | 58.88 |
| May 31, 2022 | 50.90 |
| Feb 28, 2022 | 38.00 |
| Nov 30, 2021 | 235.49 |
| Aug 31, 2021 | 51.78 |
| May 31, 2021 | 246.14 |
| Feb 28, 2021 | 352.53 |
| Nov 30, 2020 | 288.19 |
| Aug 31, 2020 | 318.01 |
API Access
Simulations Plus EV to 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=ev-to-ebitda&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();