Emergent BioSolutions (EBS) Income from Discontinued Operations (2015 - 2016)
Emergent BioSolutions (EBS) recorded Income from Discontinued Operations of $5.1 million in Q4 2016, compared with -$9.14 million a year earlier and up 436.0% from the prior quarter.
Emergent BioSolutions (EBS) Income from Discontinued Operations (2015 - 2016) Analysis & Trends
For FY2016, Emergent BioSolutions reported Income from Discontinued Operations of -$10.7 million.
- Across earlier years, Income from Discontinued Operations came in at -$28.55 million in FY2015 and -$17.53 million in FY2014.
- The Q4 2016 figure is the highest quarterly Income from Discontinued Operations in data going back to Q1 2015.
- Per Business Quant, the preceding three quarters came in at $952,000 (Q3 2016), -$8.91 million (Q2 2016) and -$7.9 million (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | - |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | - |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | - |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 8.00 Mn |
| 10 | Emergent BioSolutions | 321.73 Mn | -429.17 Mn | 137.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 5.10 Mn |
| Sep 30, 2016 | 952,000.00 |
| Jun 30, 2016 | -8.91 Mn |
| Mar 31, 2016 | -7.90 Mn |
| Dec 31, 2015 | -9.14 Mn |
| Sep 30, 2015 | -5.15 Mn |
| Jun 30, 2015 | -8.47 Mn |
| Mar 31, 2015 | -5.79 Mn |
Emergent BioSolutions Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "ticker": "EBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-discontinued-operations&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();