Emergent BioSolutions (EBS) Finished Goods (2011 - 2018)
Emergent BioSolutions (EBS) recorded Finished Goods of $50.8 million in Q4 2018, up 68.8% from $30.1 million a year earlier and up 87.6% from the prior quarter.
Emergent BioSolutions (EBS) Finished Goods (2011 - 2018) Analysis & Trends
Starting with Q4 2011, Emergent BioSolutions' Finished Goods history includes 28 quarters.
- Annual Finished Goods has increased for three straight years, with a five-year compound annual growth rate of 87.9% (FY2013 to FY2018).
- Across earlier years, Finished Goods came in at $30.1 million in FY2017 (+28.1%), $23.49 million in FY2016 (+240.3%), $6.9 million in FY2015 (-53.4%) and $14.82 million in FY2014 (+583.7%).
- The Q4 2018 figure is the highest quarterly Finished Goods in data going back to Q4 2011.
- On a year-over-year basis, Finished Goods has increased for five consecutive quarters, with growth averaging 49.0% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 669.8% in Q1 2014, against a decline of 58.9% in Q2 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.08 million (Q3 2018), $25.4 million (Q2 2018) and $37.03 million (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn |
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 |
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_KEY
import 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();