Minerva Neurosciences (NERV) Asset Utilization Ratio (2014 - 2020)
Minerva Neurosciences' (NERV) Asset Utilization Ratio was 0.67 for Q4 2020, up 7.0% from the prior quarter.
Analysis
Minerva Neurosciences (NERV) Asset Utilization Ratio (2014 - 2020) Analysis & Trends
For FY2020, Asset Utilization Ratio at Minerva Neurosciences was 0.61.
- By year, Asset Utilization Ratio came in at 0.00 in FY2018, 0.00 in FY2017 and -0.01 in FY2016.
- The Q4 2020 figure ranks as the highest quarterly Asset Utilization Ratio in data going back to Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 0.60 |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.50 |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 0.47 |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 0.51 |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 0.45 |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 0.47 |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 0.41 |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 0.62 |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 0.31 |
| 10 | Minerva Neurosciences | 121.62 Mn | -126.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 0.67 |
| Sep 30, 2020 | 0.63 |
| Jun 30, 2020 | 0.61 |
| Dec 31, 2018 | 0.00 |
| Sep 30, 2018 | 0.00 |
| Jun 30, 2018 | 0.00 |
| Mar 31, 2018 | 0.00 |
| Dec 31, 2017 | 0.00 |
| Sep 30, 2017 | 0.00 |
| Jun 30, 2017 | -0.01 |
| Mar 31, 2017 | -0.01 |
| Dec 31, 2016 | -0.01 |
| Sep 30, 2016 | -0.01 |
| Jun 30, 2016 | -0.01 |
| Mar 31, 2016 | -0.01 |
| Dec 31, 2015 | -0.01 |
| Sep 30, 2015 | -0.01 |
| Jun 30, 2015 | -0.01 |
| Mar 31, 2015 | -0.02 |
| Dec 31, 2014 | -0.03 |
API Access
Minerva Neurosciences Asset Utilization Ratio 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=asset-utilization-ratio&ticker=NERV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=NERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();