Audioeye (AEYE) Non Operating Interest Expenses (2012 - 2014)
Audioeye's Non Operating Interest Expenses came in at $4,280 for FY2015.
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Analysis
Audioeye (AEYE) Non Operating Interest Expenses (2012 - 2014) Analysis & Trends
Going back to FY2011, Audioeye's Non Operating Interest Expenses data covers 4 years.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of -64.8% (FY2011 to FY2015).
- Per Business Quant, earlier years put Non Operating Interest Expenses at $56,607 in FY2013 (-60.0%), $141,495 in FY2012 (-49.5%) and $280,050 in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Audioeye | 84.41 Mn | 57.29 Mn | 8.45 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -7,860.00 |
| Sep 30, 2014 | 416.00 |
| Jun 30, 2014 | 461.00 |
| Mar 31, 2014 | 6,983.00 |
| Dec 31, 2013 | 15,674.00 |
| Sep 30, 2013 | 15,767.00 |
| Jun 30, 2013 | 199.00 |
| Mar 31, 2013 | 24,967.00 |
| Dec 31, 2012 | 93,495.00 |
| Sep 30, 2012 | 24,863.00 |
| Mar 31, 2012 | 3,536.00 |
API Access
Audioeye Non Operating 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=non-operating-interest-expenses&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AEYE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();