Emergent BioSolutions (EBS) Shares Outstanding (2010 - 2026)
Emergent BioSolutions' Weighted Average Shares Outstanding was 51.3 million in Q3 2026, down 3.6% from 53.2 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Emergent BioSolutions came in at 53.5 million, up 0.9% from FY2024.
- Weighted Average Shares Outstanding has now increased for three consecutive years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 53 million in FY2024 (+3.5%), 51.2 million in FY2023 (+2.2%), 50.1 million in FY2022 (-6.4%) and 53.5 million in FY2021 (+1.5%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding since Q4 2023.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for three straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2025 (growth of 4.2%); the worst was Q3 2022 (a decline of 7.1%).
- Per Business Quant data, EBS's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 51.6 million (Q2 2026), 51.9 million (Q1 2026) and 53.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | 51.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.30 Mn |
| Jun 30, 2026 | 51.60 Mn |
| Mar 31, 2026 | 51.90 Mn |
| Dec 31, 2025 | 53.50 Mn |
| Sep 30, 2025 | 53.20 Mn |
| Jun 30, 2025 | 54.20 Mn |
| Mar 31, 2025 | 54.40 Mn |
| Dec 31, 2024 | 53.00 Mn |
| Sep 30, 2024 | 53.10 Mn |
| Jun 30, 2024 | 52.60 Mn |
| Mar 31, 2024 | 52.20 Mn |
| Dec 31, 2023 | 51.20 Mn |
| Sep 30, 2023 | 51.80 Mn |
| Jun 30, 2023 | 50.70 Mn |
| Mar 31, 2023 | 50.20 Mn |
| Dec 31, 2022 | 50.10 Mn |
| Sep 30, 2022 | 49.90 Mn |
| Jun 30, 2022 | 50.00 Mn |
| Mar 31, 2022 | 50.70 Mn |
| Dec 31, 2021 | 53.50 Mn |
API Access
Emergent BioSolutions Shares Outstanding 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=shares-outstanding&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();