Emergent BioSolutions (EBS) Revenue (2011 - 2026)
Emergent BioSolutions' Revenue came in at $234.3 million for Q2 2026, up 66.3% from $140.9 million a year earlier and up 50.1% from the prior quarter.
Emergent BioSolutions (EBS) Revenue (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Emergent BioSolutions reported Revenue of $770.2 million, down 9.6% year-over-year; for FY2025, it came in at $742.9 million, down 28.8% from FY2024.
- Revenue has declined in each of the last four years, with a five-year compound annual growth rate of -14.0% (FY2020 to FY2025).
- Going back by year, Revenue was $1.04 billion in FY2024 (-0.5%), $1.05 billion in FY2023 (-6.1%), $1.12 billion in FY2022 (-37.0%) and $1.77 billion in FY2021 (+12.4%).
- The Q2 2026 figure represents the highest quarterly Revenue since Q3 2024.
- Year-over-year, Revenue increased in two of the last eight quarters, with an average decline of 12.5%.
- The fastest year-over-year change in Revenue over five years came in Q1 2024 (growth of 82.8%), and the weakest in Q4 2022 (a decline of 54.9%).
- Business Quant data shows EBS's Revenue at $156.1 million (Q1 2026), $148.7 million (Q4 2025) and $231.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Emergent BioSolutions | 352.43 Mn | -398.47 Mn | 137.20 Mn | 234.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.30 Mn |
| Mar 31, 2026 | 156.10 Mn |
| Dec 31, 2025 | 148.70 Mn |
| Sep 30, 2025 | 231.10 Mn |
| Jun 30, 2025 | 140.90 Mn |
| Mar 31, 2025 | 222.20 Mn |
| Dec 31, 2024 | 194.70 Mn |
| Sep 30, 2024 | 293.80 Mn |
| Jun 30, 2024 | 254.70 Mn |
| Mar 31, 2024 | 300.40 Mn |
| Dec 31, 2023 | 276.60 Mn |
| Sep 30, 2023 | 270.50 Mn |
| Jun 30, 2023 | 337.90 Mn |
| Mar 31, 2023 | 164.30 Mn |
| Dec 31, 2022 | 330.20 Mn |
| Sep 30, 2022 | 239.90 Mn |
| Jun 30, 2022 | 242.60 Mn |
| Mar 31, 2022 | 304.80 Mn |
| Dec 31, 2021 | 732.90 Mn |
| Sep 30, 2021 | 286.30 Mn |
Emergent BioSolutions Revenue 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=revenue&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();