Minerva Neurosciences (NERV) Non-Current Debt (2015 - 2017)
Minerva Neurosciences (NERV) recorded Non-Current Debt of $1.33 million in Q2 2017, down 78.7% from $6.23 million a year earlier and down 49.0% from the prior quarter.
Minerva Neurosciences (NERV) Non-Current Debt (2015 - 2017) Analysis & Trends
At the end of FY2016, Minerva Neurosciences reported Non-Current Debt of $3.84 million, down 54.8% from FY2015.
- Across earlier years, Non-Current Debt came in at $8.5 million in FY2015.
- The Q2 2017 figure is the lowest quarterly Non-Current Debt in data going back to Q1 2015.
- On a year-over-year basis, Non-Current Debt has declined for six consecutive quarters, with an average decline of 49.5% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $2.6 million (Q1 2017), $3.84 million (Q4 2016) and $5.05 million (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Minerva Neurosciences | 160.57 Mn | 160.57 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 1.33 Mn |
| Mar 31, 2017 | 2.60 Mn |
| Dec 31, 2016 | 3.84 Mn |
| Sep 30, 2016 | 5.05 Mn |
| Jun 30, 2016 | 6.23 Mn |
| Mar 31, 2016 | 7.38 Mn |
| Dec 31, 2015 | 8.50 Mn |
| Sep 30, 2015 | 9.61 Mn |
| Jun 30, 2015 | 8.70 Mn |
| Mar 31, 2015 | 9.55 Mn |
Minerva Neurosciences Non-Current Debt 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-current-debt&ticker=NERV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NERV", "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-current-debt&ticker=NERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();