Anavex Life Sciences (AVXL) Depreciation & Amortization (CF) (2010 - 2016)
Anavex Life Sciences (AVXL) posted Depreciation & Amortization (CF) of $506.00 for fiscal Q4 2016 (quarter ended Sep 30, 2016), up 103.2% from $249.00 a year earlier and up 103.2% from the prior quarter.
Anavex Life Sciences (AVXL) Depreciation & Amortization (CF) (2010 - 2016) Analysis & Trends
For FY2016 (ended Sep 30, 2016), Anavex Life Sciences' Depreciation & Amortization (CF) came in at $1,252, up 25.8% from FY2015.
- Annual Depreciation & Amortization (CF) has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -5.5% (FY2011 to FY2016).
- In prior fiscal years, Anavex Life Sciences' Depreciation & Amortization (CF) was $995.00 in FY2015 (+29.6%), $768.00 in FY2014 (+33.3%), $576.00 in FY2013 (-69.0%) and $1,858 in FY2012 (+12.1%).
- The fiscal Q4 2016 figure stands as the highest quarterly Depreciation & Amortization (CF) in data going back to fiscal Q4 2010.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in six of the last eight quarters, with growth averaging 27.7%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was fiscal Q4 2016, with growth of 103.2%; the weakest was fiscal Q2 2013, with a decline of 76.1%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior fiscal quarters was $249.00 (Q3 2016), $248.00 (Q2 2016) and $249.00 (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Anavex Life Sciences | 168.71 Mn | -311.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 506.00 |
| Jun 30, 2016 | 249.00 |
| Mar 31, 2016 | 248.00 |
| Dec 31, 2015 | 249.00 |
| Sep 30, 2015 | 249.00 |
| Jun 30, 2015 | 248.00 |
| Mar 31, 2015 | 249.00 |
| Dec 31, 2014 | 249.00 |
| Sep 30, 2014 | 192.00 |
| Jun 30, 2014 | 192.00 |
| Mar 31, 2014 | 192.00 |
| Dec 31, 2013 | 192.00 |
| Mar 31, 2013 | 111.00 |
| Dec 31, 2012 | 465.00 |
| Sep 30, 2012 | 464.00 |
| Jun 30, 2012 | 465.00 |
| Mar 31, 2012 | 465.00 |
| Dec 31, 2011 | 464.00 |
| Sep 30, 2011 | 382.00 |
| Jun 30, 2011 | 377.00 |
Anavex Life Sciences Depreciation & Amortization (CF) 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-cf&ticker=AVXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "AVXL", "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-cf&ticker=AVXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();