Audioeye (AEYE) Depreciation & Amortization - Total (2017 - 2018)
Audioeye (AEYE) recorded Depreciation & Amortization - Total of $9,851 in Q3 2018, up 473.4% from $1,718 a year earlier and up 32.5% from the prior quarter.
Powered by 
Analysis
Audioeye (AEYE) Depreciation & Amortization - Total (2017 - 2018) Analysis & Trends
On a TTM basis, Audioeye's Depreciation & Amortization - Total came in at $24,794 as of Sep 30, 2018, up 732.3% year-over-year; for FY2017, it came in at $6,173.
- Annual Depreciation & Amortization - Total has a five-year compound annual growth rate of 9.7% (FY2012 to FY2017).
- Across earlier years, Depreciation & Amortization - Total came in at $651.00 in FY2015 (-79.6%), $3,196 in FY2014 (-17.7%) and $3,883 in FY2013 (unchanged).
- On a year-over-year basis, Depreciation & Amortization - Total has increased for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at $7,432 (Q2 2018), $4,317 (Q1 2018) and $3,194 (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | - |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | - |
| 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 |
|---|---|
| Sep 30, 2018 | 9,851.00 |
| Jun 30, 2018 | 7,432.00 |
| Mar 31, 2018 | 4,317.00 |
| Dec 31, 2017 | 3,194.00 |
| Sep 30, 2017 | 1,718.00 |
| Jun 30, 2017 | 814.00 |
| Mar 31, 2017 | 447.00 |
API Access
Audioeye Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();