Emergent BioSolutions (EBS) Net Equity Issued and Repurchased (2010 - 2026)
Emergent BioSolutions (EBS) reported Net Equity Issued and Repurchased of $1 million for Q2 2026, up 42.9% from $700,000 a year earlier and up 150.0% from the prior quarter.
Emergent BioSolutions (EBS) Net Equity Issued and Repurchased (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Emergent BioSolutions' Net Equity Issued and Repurchased came in at $600,000, down 95.6% year-over-year; for FY2024, it came in at $13.4 million, up 59.5% from FY2023.
- Net Equity Issued and Repurchased has a five-year compound annual growth rate of 10.3% (FY2019 to FY2024).
- By year, Net Equity Issued and Repurchased came in at $8.4 million in FY2023 (+68.0%), $5 million in FY2022 (-68.6%), $15.9 million in FY2021 (-49.7%) and $31.6 million in FY2020 (+285.4%).
- The Q2 2026 figure ranks as the highest quarterly Net Equity Issued and Repurchased since Q3 2024.
- Year over year, Net Equity Issued and Repurchased gained in two of the last four quarters, with growth averaging 61.1%.
- The high point for year-over-year Net Equity Issued and Repurchased in five years was Q1 2026 (growth of 300.0%); the low point was Q3 2025 (a decline of 98.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $400,000 (Q1 2026), -$1 million (Q4 2025) and $200,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | -1.60 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 138.00 Mn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | -9.00 Mn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | -714.00 Mn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | -1.20 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 6.00 Mn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | -346.00 Mn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | - |
| 10 | Emergent BioSolutions | 328.43 Mn | -422.47 Mn | 137.20 Mn | -8.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.00 Mn |
| Mar 31, 2026 | -8.60 Mn |
| Dec 31, 2025 | -10.10 Mn |
| Sep 30, 2025 | -8.70 Mn |
| Jun 30, 2025 | -6.20 Mn |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 800,000.00 |
| Sep 30, 2024 | 13.40 Mn |
| Jun 30, 2024 | 700,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Jun 30, 2023 | 9.50 Mn |
| Dec 31, 2022 | 1.80 Mn |
| Jun 30, 2022 | -21.90 Mn |
| Mar 31, 2022 | -57.00 Mn |
| Dec 31, 2021 | -102.60 Mn |
| Sep 30, 2021 | 2.50 Mn |
| Jun 30, 2021 | 3.10 Mn |
| Mar 31, 2021 | 6.90 Mn |
| Dec 31, 2020 | 5.00 Mn |
| Sep 30, 2020 | 3.50 Mn |
Emergent BioSolutions Net Equity Issued and Repurchased 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-equity-issued-and-repurchased&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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-equity-issued-and-repurchased&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();