Emergent BioSolutions (EBS) Net Margin (2011 - 2026)
Emergent BioSolutions' Net Margin came in at -76.91% for Q2 2026, down 68.39 percentage points from -8.52% a year earlier and down 81.27 percentage points from the prior quarter.
Powered by 
Analysis
Emergent BioSolutions (EBS) Net Margin (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Emergent BioSolutions reported Net Margin of -22.96%, down 39.34 percentage points year-over-year; for FY2025, it came in at 7.08%, up 25.34 percentage points from FY2024.
- Net Margin carries a five-year change of -12.31 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -18.26% in FY2024 (+54.21 pp), -72.48% in FY2023 (-53.54 pp), -18.94% in FY2022 (-31.31 pp) and 12.38% in FY2021 (-7.01 pp).
- The Q2 2026 figure represents the lowest quarterly Net Margin since Q2 2024.
- Year-over-year, Net Margin has declined for four consecutive quarters, with an average year-over-year change of +17.04 percentage points over the last eight quarters.
- The fastest year-over-year change in Net Margin over five years came in Q3 2024 (a gain of 136.45 percentage points), and the weakest in Q1 2023 (a drop of 111.82 percentage points).
- Business Quant data shows EBS's Net Margin at 4.36% (Q1 2026), -36.72% (Q4 2025) and 22.15% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,157.21 Bn | 1,125.80 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 624.79 Bn | 543.32 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 511.04 Bn | 484.15 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 365.98 Bn | 320.36 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 296.82 Bn | 260.81 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 260.38 Bn | 234.06 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 234.75 Bn | 190.15 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 193.87 Bn | 168.07 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 171.45 Bn | 118.10 Bn | 10.94 Bn | -1.65% |
| 10 | Emergent BioSolutions | 317.34 Mn | -433.56 Mn | 137.20 Mn | -76.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -76.91% |
| Mar 31, 2026 | 4.36% |
| Dec 31, 2025 | -36.72% |
| Sep 30, 2025 | 22.15% |
| Jun 30, 2025 | -8.52% |
| Mar 31, 2025 | 30.60% |
| Dec 31, 2024 | -16.08% |
| Sep 30, 2024 | 39.07% |
| Jun 30, 2024 | -111.15% |
| Mar 31, 2024 | 3.00% |
| Dec 31, 2023 | -17.90% |
| Sep 30, 2023 | -97.38% |
| Jun 30, 2023 | -77.36% |
| Mar 31, 2023 | -113.33% |
| Dec 31, 2022 | -20.29% |
| Sep 30, 2022 | -36.31% |
| Jun 30, 2022 | -21.81% |
| Mar 31, 2022 | -1.51% |
| Dec 31, 2021 | 26.35% |
| Sep 30, 2021 | -14.11% |
API Access
Emergent BioSolutions Net 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=net-margin&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();