Simulations Plus (SLP) Interest Expenses (2010 - 2021)
Simulations Plus (SLP) reported Interest Expenses of $22,000 for FY2021 (year ended Aug 31, 2021).
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Analysis
Simulations Plus (SLP) Interest Expenses (2010 - 2021) Analysis & Trends
Dating back to FY2011, Simulations Plus' Interest Expenses record includes 5 fiscal years.
- Interest Expenses has a four-year compound annual growth rate of -12.9% (FY2017 to FY2021).
- The FY2021 figure ranks as the highest annual Interest Expenses since FY2018.
- According to Business Quant data, Interest Expenses came in at $153,034 in FY2018 (+300.7%) and $38,188 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 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 | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Simulations Plus | 372.59 Mn | 212.72 Mn | 15.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2021 | 22,000.00 |
| Aug 31, 2019 | -109,078.00 |
| May 31, 2019 | 32,702.00 |
| Feb 28, 2019 | 38,188.00 |
| Nov 30, 2018 | 38,188.00 |
| Aug 31, 2018 | 38,188.00 |
| May 31, 2018 | 38,188.00 |
| Feb 28, 2018 | 38,188.00 |
| Nov 30, 2017 | 38,470.00 |
| Aug 31, 2017 | 38,188.00 |
| Nov 30, 2011 | 3.00 |
| Nov 30, 2010 | 43.00 |
API Access
Simulations Plus Interest 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=interest-expenses&ticker=SLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();