Emergent BioSolutions (EBS) Finished Goods (2011 - 2018)
Emergent BioSolutions (EBS) posted Finished Goods of $50.8 million for Q4 2018, up 87.63% on a QoQ basis from $27.1 million in Q3 2018, and up 68.77% year-over-year from $30.1 million in Q4 2017.
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Analysis
Emergent BioSolutions (EBS) Finished Goods (2011 - 2018) Analysis & Trends
Emergent BioSolutions has reported Finished Goods for 8 years, with the latest figure at $50.8 million in Q4 2018.
- On a quarterly basis, Finished Goods rose 68.77% year-over-year to $50.8 million in Q4 2018; TTM through Dec 2018 was $50.8 million, a 68.77% increase from a year earlier, with the FY2018 full-year figure at $50.8 million, up 68.77% from the prior year.
- Finished Goods was $50.8 million for Q4 2018 at Emergent BioSolutions, up from $27.1 million in the prior quarter.
- The five-year high for Finished Goods was $50.8 million in Q4 2018, with the low at $6.9 million in Q4 2015.
- Average Finished Goods over 5 years is $23.0 million, with a median of $23.9 million recorded in 2015.
- The sharpest annual moves came in 2014 and 2017: Finished Goods surged 669.76% in 2014, then tumbled 58.88% in 2017.
- Over 5 years, Finished Goods stood at $14.8 million in 2014, then tumbled by 53.43% to $6.9 million in 2015, then surged by 240.34% to $23.5 million in 2016, then gained by 28.12% to $30.1 million in 2017, then jumped by 68.77% to $50.8 million in 2018.
- The last three Finished Goods figures came in at $50.8 million (Q4 2018), $27.1 million (Q3 2018), and $25.4 million (Q2 2018), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 50.80 Mn |
| Sep 30, 2018 | 27.08 Mn |
| Jun 30, 2018 | 25.40 Mn |
| Mar 31, 2018 | 37.03 Mn |
| Dec 31, 2017 | 30.10 Mn |
| Sep 30, 2017 | 20.04 Mn |
| Jun 30, 2017 | 11.32 Mn |
| Mar 31, 2017 | 10.14 Mn |
| Dec 31, 2016 | 23.49 Mn |
| Sep 30, 2016 | 25.46 Mn |
| Jun 30, 2016 | 27.52 Mn |
| Mar 31, 2016 | 20.14 Mn |
| Dec 31, 2015 | 6.90 Mn |
| Sep 30, 2015 | 24.62 Mn |
| Jun 30, 2015 | 27.98 Mn |
| Mar 31, 2015 | 24.31 Mn |
| Dec 31, 2014 | 14.82 Mn |
| Sep 30, 2014 | 15.06 Mn |
| Jun 30, 2014 | 18.04 Mn |
| Mar 31, 2014 | 19.27 Mn |
API Access
Emergent BioSolutions Finished Goods 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=finished-goods&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();