Simulations Plus (SLP) Amortizatization of Intangibles (2010 - 2017)
Simulations Plus (SLP) reported Amortizatization of Intangibles of $320,417 for fiscal Q1 2018 (quarter ended Nov 30, 2017), up 12.7% from $284,217 a year earlier and up 37.8% from the prior quarter.
Simulations Plus (SLP) Amortizatization of Intangibles (2010 - 2017) Analysis & Trends
Over the twelve months ended Nov 30, 2017, Simulations Plus' Amortizatization of Intangibles came in at $1.13 million, up 11.3% year-over-year; for FY2017 (ended Aug 31, 2017), it was $1.1 million, up 11.8% from FY2016.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 211.3% (FY2012 to FY2017).
- By fiscal year, Amortizatization of Intangibles came in at $981,066 in FY2016 (-4.1%), $1.02 million in FY2015 (+460.6%), $182,500 in FY2014 and $7,500 in FY2013 (+100.0%).
- The fiscal Q1 2018 figure ranks as the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2011.
- Year over year, Amortizatization of Intangibles gained in four of the last eight quarters, with growth averaging 4.0%.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q3 2015 (growth of 862.5%); the low point was fiscal Q2 2016 (a decline of 10.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2018 came in at $232,524 (Q4 2017), $290,567 (Q3 2017) and $289,659 (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Simulations Plus | 374.00 Mn | 214.14 Mn | 15.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2017 | 320,417.00 |
| Aug 31, 2017 | 232,524.00 |
| May 31, 2017 | 290,567.00 |
| Feb 28, 2017 | 289,659.00 |
| Nov 30, 2016 | 284,217.00 |
| Aug 31, 2016 | 245,487.00 |
| May 31, 2016 | 241,042.00 |
| Feb 29, 2016 | 247,269.00 |
| Nov 30, 2015 | 247,268.00 |
| Aug 31, 2015 | 274,409.00 |
| May 31, 2015 | 258,679.00 |
| Feb 28, 2015 | 276,761.00 |
| Nov 30, 2014 | 151,875.00 |
| Aug 31, 2014 | 151,875.00 |
| May 31, 2014 | 26,875.00 |
| Feb 28, 2014 | 1,875.00 |
| Nov 30, 2013 | 1,875.00 |
| Aug 31, 2013 | 1,875.00 |
| May 31, 2013 | 1,875.00 |
| Feb 28, 2013 | 1,875.00 |
Simulations Plus Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();