Simulations Plus (SLP) Operating Expenses (2010 - 2026)
Simulations Plus (SLP) recorded Operating Expenses of $10.63 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 87.8% from $87.26 million a year earlier but up 1.1% from the prior quarter.
Powered by 
Analysis
Simulations Plus (SLP) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Simulations Plus' Operating Expenses came in at $40.5 million as of May 31, 2026, down 65.0% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $116.95 million, up 215.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $37.02 million in FY2024 (-5.6%), $39.22 million in FY2023 (+39.2%), $28.17 million in FY2022 (+14.5%) and $24.61 million in FY2021 (+27.3%).
- Quarterly Operating Expenses has ranged from $5.87 million in fiscal Q1 2022 to $87.26 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 74.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 667.0% in fiscal Q3 2025, against a decline of 87.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.51 million (Q2 2026), $10.18 million (Q1 2026) and $9.19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Simulations Plus | 373.60 Mn | 213.73 Mn | 15.13 Mn | 10.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.63 Mn |
| Feb 28, 2026 | 10.51 Mn |
| Nov 30, 2025 | 10.18 Mn |
| Aug 31, 2025 | 9.19 Mn |
| May 31, 2025 | 87.26 Mn |
| Feb 28, 2025 | 10.42 Mn |
| Nov 30, 2024 | 10.09 Mn |
| Aug 31, 2024 | 7.98 Mn |
| May 31, 2024 | 11.38 Mn |
| Feb 29, 2024 | 8.78 Mn |
| Nov 30, 2023 | 8.89 Mn |
| Aug 31, 2023 | 12.54 Mn |
| May 31, 2023 | 9.18 Mn |
| Feb 28, 2023 | 9.10 Mn |
| Nov 30, 2022 | 8.42 Mn |
| Aug 31, 2022 | 8.36 Mn |
| May 31, 2022 | 7.45 Mn |
| Feb 28, 2022 | 6.49 Mn |
| Nov 30, 2021 | 5.87 Mn |
| Aug 31, 2021 | 6.88 Mn |
API Access
Simulations Plus Operating Expenses 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=operating-expenses&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();