Emergent BioSolutions (EBS) Price to Earnings (2011 - 2025)
Emergent BioSolutions' (EBS) Price to Earnings came in at 12.24 for Q4 2025, up 99.9% from the prior quarter.
Analysis
Emergent BioSolutions (EBS) Price to Earnings (2011 - 2025) Analysis & Trends
Since Q4 2011, Emergent BioSolutions has reported Price to Earnings for 46 quarters.
- In prior years, Emergent BioSolutions' Price to Earnings was 10.16 in FY2021 (-34.7%).
- The Q4 2025 figure stands as the highest quarterly Price to Earnings since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Emergent BioSolutions | 319.92 Mn | -430.98 Mn | 137.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.24 |
| Sep 30, 2025 | 6.12 |
| Jun 30, 2025 | 2.46 |
| Sep 30, 2022 | 21.60 |
| Jun 30, 2022 | 16.27 |
| Mar 31, 2022 | 14.02 |
| Dec 31, 2021 | 10.16 |
| Sep 30, 2021 | 12.69 |
| Jun 30, 2021 | 11.60 |
| Mar 31, 2021 | 12.94 |
| Dec 31, 2020 | 15.59 |
| Sep 30, 2020 | 32.87 |
| Jun 30, 2020 | 24.56 |
| Mar 31, 2020 | 44.44 |
| Dec 31, 2019 | 51.18 |
| Sep 30, 2019 | 642.30 |
| Mar 31, 2019 | 62.57 |
| Dec 31, 2018 | 48.41 |
| Sep 30, 2018 | 33.02 |
| Jun 30, 2018 | 22.41 |
API Access
Emergent BioSolutions Price to Earnings 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=price-to-earnings&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();