Emergent BioSolutions (EBS) Goodwill (2010 - 2023)
Emergent BioSolutions (EBS) posted Goodwill of $218.2 million for Q2 2023, little changed on a QoQ basis from $218.2 million in Q1 2023, and down 2.98% year-over-year from $224.9 million in Q2 2022.
Emergent BioSolutions (EBS) Goodwill (2010 - 2023) Analysis & Trends
Emergent BioSolutions has reported Goodwill for 14 years, with the latest figure at $218.2 million in Q2 2023.
- On a quarterly basis, Goodwill fell 2.98% year-over-year to $218.2 million in Q2 2023; TTM through Jun 2023 was $218.2 million, a 2.98% decrease from a year earlier, with the FY2022 full-year figure at $218.2 million, down 2.98% from the prior year.
- Goodwill was $218.2 million for Q2 2023 at Emergent BioSolutions, roughly flat from $218.2 million in the prior quarter.
- The five-year high for Goodwill was $268.6 million in Q3 2019, with the low at $218.2 million in Q4 2022.
- Average Goodwill over 5 years is $249.5 million, with a median of $266.4 million recorded in 2020.
- The sharpest annual moves came in 2019 and 2021: Goodwill surged 446.71% in 2019, then declined 15.67% in 2021.
- Over 5 years, Goodwill stood at $266.6 million in 2019, then advanced by 0.04% to $266.7 million in 2020, then slipped by 15.67% to $224.9 million in 2021, then decreased by 2.98% to $218.2 million in 2022, then changed by 0.0% to $218.2 million in 2023.
- The last three Goodwill figures came in at $218.2 million (Q2 2023), $218.2 million (Q1 2023), and $218.2 million (Q4 2022), 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 |
|---|---|
| Jun 30, 2023 | 218.20 Mn |
| Mar 31, 2023 | 218.20 Mn |
| Dec 31, 2022 | 218.20 Mn |
| Sep 30, 2022 | 224.90 Mn |
| Jun 30, 2022 | 224.90 Mn |
| Mar 31, 2022 | 224.90 Mn |
| Dec 31, 2021 | 224.90 Mn |
| Sep 30, 2021 | 266.50 Mn |
| Jun 30, 2021 | 266.60 Mn |
| Mar 31, 2021 | 266.50 Mn |
| Dec 31, 2020 | 266.70 Mn |
| Sep 30, 2020 | 266.50 Mn |
| Jun 30, 2020 | 266.30 Mn |
| Mar 31, 2020 | 266.40 Mn |
| Dec 31, 2019 | 266.60 Mn |
| Sep 30, 2019 | 268.60 Mn |
| Jun 30, 2019 | 268.30 Mn |
| Mar 31, 2019 | 267.70 Mn |
| Dec 31, 2018 | 259.70 Mn |
| Sep 30, 2018 | 49.13 Mn |
Emergent BioSolutions Goodwill 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=goodwill&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();