Emergent BioSolutions (EBS) Net Margin (2011 - 2026)
Emergent BioSolutions' Net Margin came in at -29.73% for Q3 2026, down 51.88 percentage points from 22.15% a year earlier but up 47.18 percentage points from the prior quarter.
Emergent BioSolutions (EBS) Net Margin (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Emergent BioSolutions reported Net Margin of -40.16%, down 49.78 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 five-year range for quarterly Net Margin is -113.33% (Q1 2023) to 39.07% (Q3 2024).
- Year-over-year, Net Margin has declined for five consecutive quarters, with an average year-over-year change of -6.50 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 -76.91% (Q2 2026), 4.36% (Q1 2026) and -36.72% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 19.55% |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | -29.73% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -29.73% |
| 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% |
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_KEY
import 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();