Anixa Biosciences (ANIX) Other Non-Current Liabilities (2010 - 2017)
Anixa Biosciences (ANIX) posted Other Non-Current Liabilities of $4.31 million for fiscal Q1 2017 (quarter ended Jan 31, 2017), up 13.1% from $3.81 million a year earlier and up 3.4% from the prior quarter.
Anixa Biosciences (ANIX) Other Non-Current Liabilities (2010 - 2017) Analysis & Trends
At the end of FY2016 (ended Oct 31, 2016), Anixa Biosciences' Other Non-Current Liabilities came in at $4.17 million, up 13.1% from FY2015.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -3.6% (FY2011 to FY2016).
- In prior fiscal years, Anixa Biosciences' Other Non-Current Liabilities was $3.69 million in FY2015 (+14.0%), $3.24 million in FY2014 (-35.3%), $5 million in FY2013 (unchanged) and $5 million in FY2012 (unchanged).
- The fiscal Q1 2017 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q4 2013.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2016, with growth of 14.0%; the weakest was fiscal Q2 2014, with a decline of 39.3%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $4.17 million (Q4 2016), $4.07 million (Q3 2016) and $3.94 million (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,149.24 Bn | 1,117.83 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 636.01 Bn | 555.87 Bn | 17.30 Bn |
| 3 | AbbVie | 500.63 Bn | 473.74 Bn | 12.70 Bn |
| 4 | Merck | 357.88 Bn | 312.26 Bn | 12.21 Bn |
| 5 | Novartis Ag | 301.63 Bn | 265.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.02 Bn | 238.70 Bn | 12.86 Bn |
| 7 | Amgen | 238.20 Bn | 193.60 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.85 Bn | 169.05 Bn | 6.22 Bn |
| 9 | Pfizer | 171.94 Bn | 118.58 Bn | 10.94 Bn |
| 10 | Anixa Biosciences | 95.37 Mn | 81.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2017 | 4.31 Mn |
| Oct 31, 2016 | 4.17 Mn |
| Jul 31, 2016 | 4.07 Mn |
| Apr 30, 2016 | 3.94 Mn |
| Jan 31, 2016 | 3.81 Mn |
| Oct 31, 2015 | 3.69 Mn |
| Jul 31, 2015 | 3.57 Mn |
| Apr 30, 2015 | 3.45 Mn |
| Jan 31, 2015 | 3.35 Mn |
| Oct 31, 2014 | 3.24 Mn |
| Jul 31, 2014 | 3.14 Mn |
| Apr 30, 2014 | 3.04 Mn |
| Jan 31, 2014 | 9.30 Mn |
| Oct 31, 2013 | 5.54 Mn |
| Jul 31, 2013 | 5.70 Mn |
| Apr 30, 2013 | 5.05 Mn |
| Jan 31, 2013 | 5.00 Mn |
| Oct 31, 2012 | 5.00 Mn |
| Jul 31, 2012 | 5.00 Mn |
| Apr 30, 2012 | 5.00 Mn |
Anixa Biosciences Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "ANIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();