Emergent BioSolutions (EBS) Gains from Sales and Divestitures (2011 - 2026)
Emergent BioSolutions' Gains from Sales and Divestitures came in at -$10.7 million for Q2 2026.
Emergent BioSolutions (EBS) Gains from Sales and Divestitures (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Emergent BioSolutions reported Gains from Sales and Divestitures of -$3.8 million; for FY2025, it came in at -$4.5 million.
- Going back by year, Gains from Sales and Divestitures was -$28.7 million in FY2024, -$21.1 million in FY2023 and -$3.6 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Gains from Sales and Divestitures since Q1 2025.
- Business Quant data shows EBS's Gains from Sales and Divestitures at -$800,000 (Q1 2026), -$1 million (Q4 2025) and $8.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | Emergent BioSolutions | 320.11 Mn | -430.79 Mn | 137.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.70 Mn |
| Mar 31, 2026 | -800,000.00 |
| Dec 31, 2025 | -1.00 Mn |
| Sep 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | -12.20 Mn |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2024 | 11.10 Mn |
| Jun 30, 2024 | -40.00 Mn |
| Dec 31, 2023 | -7.20 Mn |
| Sep 30, 2023 | -700,000.00 |
| Jun 30, 2023 | 74.90 Mn |
| Dec 31, 2022 | -3.60 Mn |
| Mar 31, 2012 | 19,000.00 |
| Mar 31, 2011 | -13,000.00 |
Emergent BioSolutions Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();