Minerva Neurosciences (NERV) Revenue (2013 - 2020)
Minerva Neurosciences (NERV) reported Revenue of $41.18 million for FY2020.
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Analysis
Minerva Neurosciences (NERV) Revenue (2013 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Minerva Neurosciences | 108.62 Mn | -139.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 41.18 Mn |
| Sep 30, 2018 | -4,018.00 |
| Jun 30, 2018 | -35,781.00 |
| Mar 31, 2018 | -70,649.00 |
| Dec 31, 2017 | -104,738.00 |
| Sep 30, 2017 | -137,899.00 |
| Jun 30, 2017 | -170,125.00 |
| Mar 31, 2017 | -201,502.00 |
| Dec 31, 2016 | -232,358.00 |
| Sep 30, 2016 | -258,764.00 |
| Jun 30, 2016 | -268,256.00 |
| Mar 31, 2016 | -270,356.00 |
| Dec 31, 2015 | -276,670.00 |
| Sep 30, 2015 | -269,950.00 |
| Jun 30, 2015 | -275,742.00 |
| Mar 31, 2015 | -230,709.00 |
| Dec 31, 2014 | 3.00 |
| Sep 30, 2014 | -14,835.00 |
| Jun 30, 2014 | -1.73 Mn |
| Mar 31, 2014 | -308,528.00 |
API Access
Minerva Neurosciences Revenue 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=revenue&ticker=NERV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();