Emergent BioSolutions (EBS) Work In Process (2011 - 2018)
Emergent BioSolutions (EBS) posted Work In Process of $103.2 million for Q4 2018, up 59.2% on a QoQ basis from $64.8 million in Q3 2018, and up 34.73% year-over-year from $76.6 million in Q4 2017.
Emergent BioSolutions (EBS) Work In Process (2011 - 2018) Analysis & Trends
Emergent BioSolutions has reported Work In Process for 8 years, with the latest figure at $103.2 million in Q4 2018.
- On a quarterly basis, Work In Process rose 34.73% year-over-year to $103.2 million in Q4 2018; TTM through Dec 2018 was $103.2 million, a 34.73% increase from a year earlier, with the FY2018 full-year figure at $103.2 million, up 34.73% from the prior year.
- Work In Process was $103.2 million for Q4 2018 at Emergent BioSolutions, up from $64.8 million in the prior quarter.
- The five-year high for Work In Process was $103.2 million in Q4 2018, with the low at $14.8 million in Q3 2017.
- Average Work In Process over 5 years is $44.1 million, with a median of $34.0 million recorded in 2014.
- The sharpest annual moves came in 2017 and 2018: Work In Process tumbled 39.59% in 2017, then jumped 338.72% in 2018.
- Over 5 years, Work In Process stood at $33.5 million in 2014, then declined by 2.29% to $32.7 million in 2015, then plunged by 39.4% to $19.8 million in 2016, then jumped by 286.46% to $76.6 million in 2017, then surged by 34.73% to $103.2 million in 2018.
- The last three Work In Process figures came in at $103.2 million (Q4 2018), $64.8 million (Q3 2018), and $79.5 million (Q2 2018), per Business Quant data.
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
| Date | Value |
|---|---|
| Dec 31, 2018 | 103.20 Mn |
| Sep 30, 2018 | 64.83 Mn |
| Jun 30, 2018 | 79.55 Mn |
| Mar 31, 2018 | 82.09 Mn |
| Dec 31, 2017 | 76.60 Mn |
| Sep 30, 2017 | 14.78 Mn |
| Jun 30, 2017 | 25.59 Mn |
| Mar 31, 2017 | 27.33 Mn |
| Dec 31, 2016 | 19.82 Mn |
| Sep 30, 2016 | 24.46 Mn |
| Jun 30, 2016 | 41.28 Mn |
| Mar 31, 2016 | 42.35 Mn |
| Dec 31, 2015 | 32.71 Mn |
| Sep 30, 2015 | 34.32 Mn |
| Jun 30, 2015 | 40.86 Mn |
| Mar 31, 2015 | 40.81 Mn |
| Dec 31, 2014 | 33.48 Mn |
| Sep 30, 2014 | 31.38 Mn |
| Jun 30, 2014 | 32.96 Mn |
| Mar 31, 2014 | 33.67 Mn |
Emergent BioSolutions Work In Process 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=work-in-process&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();