Simulations Plus (SLP) Change in Taxes (2010 - 2023)
Simulations Plus (SLP) recorded Change in Taxes of -$800,000 in fiscal Q4 2023 (quarter ended Aug 31, 2023).
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Analysis
Simulations Plus (SLP) Change in Taxes (2010 - 2023) Analysis & Trends
For FY2023 (ended Aug 31, 2023), Simulations Plus reported Change in Taxes of -$7,000.
- The fiscal Q4 2023 figure is the highest quarterly Change in Taxes in data going back to fiscal Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -65.14 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 | 7.20 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -8.70 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 192,000.00 |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | -1.00 Mn |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2023 | -800,000.00 |
| Aug 31, 2021 | 478,000.00 |
| Aug 31, 2019 | -434,886.00 |
| May 31, 2019 | 328,041.00 |
| Feb 28, 2019 | -61,375.00 |
| Nov 30, 2018 | 168,220.00 |
| Aug 31, 2018 | 462,443.00 |
| May 31, 2018 | -136,312.00 |
| Feb 28, 2018 | 136,312.00 |
| Nov 30, 2017 | -462,443.00 |
| Aug 31, 2017 | 160,233.00 |
| May 31, 2017 | -132,865.00 |
| Feb 28, 2017 | 374,405.00 |
| Nov 30, 2016 | -555,486.00 |
| Feb 29, 2016 | -385,095.00 |
| Nov 30, 2015 | 341,493.00 |
| Aug 31, 2015 | -135,292.00 |
| May 31, 2015 | 178,894.00 |
| Aug 31, 2013 | -258,692.00 |
| May 31, 2013 | 230,833.00 |
API Access
Simulations Plus Change in Taxes 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=change-in-taxes&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();