Anixa Biosciences (ANIX) Total Non-Current Liabilities (2010 - 2017)
Anixa Biosciences (ANIX) posted Total Non-Current Liabilities of $3.72 million for fiscal Q1 2017 (quarter ended Jan 31, 2017), up 199.4% from $1.24 million a year earlier and up 694.4% from the prior quarter.
Anixa Biosciences (ANIX) Total Non-Current Liabilities (2010 - 2017) Analysis & Trends
At the end of FY2016 (ended Oct 31, 2016), Anixa Biosciences' Total Non-Current Liabilities came in at $468,756, down 21.1% from FY2015.
- Annual Total Non-Current Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -28.9% (FY2011 to FY2016).
- In prior fiscal years, Anixa Biosciences' Total Non-Current Liabilities was $593,782 in FY2015 (-67.2%), $1.81 million in FY2014 (-51.9%), $3.76 million in FY2013 (+102.7%) and $1.85 million in FY2012 (-28.3%).
- The fiscal Q1 2017 figure stands as the highest quarterly Total Non-Current Liabilities since fiscal Q3 2014.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 15.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2014, with growth of 226.7%; the weakest was fiscal Q2 2015, with a decline of 94.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $468,756 (Q4 2016), $531,624 (Q3 2016) and $706,930 (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Anixa Biosciences | 96.15 Mn | 81.01 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2017 | 3.72 Mn |
| Oct 31, 2016 | 468,756.00 |
| Jul 31, 2016 | 531,624.00 |
| Apr 30, 2016 | 706,930.00 |
| Jan 31, 2016 | 1.24 Mn |
| Oct 31, 2015 | 593,782.00 |
| Jul 31, 2015 | 711,666.00 |
| Apr 30, 2015 | 688,676.00 |
| Jan 31, 2015 | 1.67 Mn |
| Oct 31, 2014 | 1.81 Mn |
| Jul 31, 2014 | 10.11 Mn |
| Apr 30, 2014 | 12.31 Mn |
| Jan 31, 2014 | 6.69 Mn |
| Oct 31, 2013 | 3.22 Mn |
| Jul 31, 2013 | 2.85 Mn |
| Apr 30, 2013 | 3.75 Mn |
| Jan 31, 2013 | 3.85 Mn |
| Oct 31, 2012 | 1.85 Mn |
| Jul 31, 2012 | 1.78 Mn |
| Apr 30, 2012 | 2.13 Mn |
Anixa Biosciences Total 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=total-non-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();