Emergent BioSolutions (EBS) Gross Margin (2011 - 2026)
Emergent BioSolutions (EBS) posted Gross Margin of 58.56% for Q2 2026, up 8.69% on a QoQ basis from 53.88% in Q1 2026, and up 604.0% year-over-year from 8.32% in Q2 2025.
Emergent BioSolutions (EBS) Gross Margin (2011 - 2026) Analysis & Trends
Emergent BioSolutions has reported Gross Margin for 16 years, with the latest figure at 58.56% in Q2 2026.
- On a quarterly basis, Gross Margin rose 604.0% year-over-year to 58.56% in Q2 2026; TTM through Jun 2026 was 55.87%, a 237.0% increase from a year earlier, with the FY2025 full-year figure at 56.09%, up 2137.0% from the prior year.
- Gross Margin was 58.56% for Q2 2026 at Emergent BioSolutions, up from 53.88% in the prior quarter.
- The five-year high for Gross Margin was 62.83% in Q3 2025, with the low at 16.25% in Q2 2024.
- Average Gross Margin over 5 years is 41.61%, with a median of 46.22% recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Gross Margin plunged 5985 bps in 2024, then surged 6877 bps in 2025.
- Over 5 years, Gross Margin stood at 49.18% in 2022, then slumped by 33 bps to 33.08% in 2023, then rose by 19 bps to 39.39% in 2024, then rose by 9 bps to 42.91% in 2025, then surged by 36 bps to 58.56% in 2026.
- The last three Gross Margin figures came in at 58.56% (Q2 2026), 53.88% (Q1 2026), and 42.91% (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | 78.02% |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | 72.78% |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | 71.28% |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | 80.05% |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 89.76% |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | 58.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.56% |
| Mar 31, 2026 | 53.88% |
| Dec 31, 2025 | 42.91% |
| Sep 30, 2025 | 62.83% |
| Jun 30, 2025 | 52.52% |
| Mar 31, 2025 | 60.17% |
| Dec 31, 2024 | 39.39% |
| Sep 30, 2024 | 58.27% |
| Jun 30, 2024 | -16.25% |
| Mar 31, 2024 | 51.86% |
| Dec 31, 2023 | 33.08% |
| Sep 30, 2023 | 34.64% |
| Jun 30, 2023 | 43.59% |
| Mar 31, 2023 | 6.94% |
| Dec 31, 2022 | 49.18% |
| Sep 30, 2022 | 38.64% |
| Jun 30, 2022 | 30.01% |
| Mar 31, 2022 | 48.85% |
| Dec 31, 2021 | 80.22% |
| Sep 30, 2021 | 60.08% |
Emergent BioSolutions Gross Margin 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=gross-margin&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();