Emergent BioSolutions (EBS) EBT (2011 - 2026)
Emergent BioSolutions (EBS) posted EBT of -$166.3 million for Q2 2026, down 1341.04% on a QoQ basis from $13.4 million in Q1 2026, and down 889.88% year-over-year from $21.1 million in Q2 2025.
Emergent BioSolutions (EBS) EBT (2011 - 2026) Analysis & Trends
Emergent BioSolutions has reported EBT for 16 years, with the latest figure at -$166.3 million in Q2 2026.
- On a quarterly basis, EBT fell 889.88% year-over-year to -$166.3 million in Q2 2026; TTM through Jun 2026 was -$146.0 million, a 176.56% decrease from a year earlier, with the FY2025 full-year figure at $82.8 million, up 157.94% from the prior year.
- EBT was -$166.3 million for Q2 2026 at Emergent BioSolutions, down from $13.4 million in the prior quarter.
- The five-year high for EBT was $142.4 million in Q3 2024, with the low at -$269.8 million in Q2 2024.
- Average EBT over 5 years is -$64.4 million, with a median of -$52.6 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: EBT slumped 4126.32% in 2023, then soared 666.12% in 2025.
- Over 5 years, EBT stood at -$61.4 million in 2022, then climbed by 11.24% to -$54.5 million in 2023, then soared by 49.36% to -$27.6 million in 2024, then slumped by 83.7% to -$50.7 million in 2025, then sank by 228.01% to -$166.3 million in 2026.
- The last three EBT figures came in at -$166.3 million (Q2 2026), $13.4 million (Q1 2026), and -$50.7 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 6.75 Bn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | 4.28 Bn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | -683.00 Mn |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | 4.27 Bn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | -653.00 Mn |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | 4.09 Bn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | 1.64 Bn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 312.46 Mn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | -644.37 Mn |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | -166.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -166.30 Mn |
| Mar 31, 2026 | 13.40 Mn |
| Dec 31, 2025 | -50.70 Mn |
| Sep 30, 2025 | 57.60 Mn |
| Jun 30, 2025 | -16.80 Mn |
| Mar 31, 2025 | 92.70 Mn |
| Dec 31, 2024 | -27.60 Mn |
| Sep 30, 2024 | 142.40 Mn |
| Jun 30, 2024 | -269.80 Mn |
| Mar 31, 2024 | 12.10 Mn |
| Dec 31, 2023 | -54.50 Mn |
| Sep 30, 2023 | -265.90 Mn |
| Jun 30, 2023 | -250.20 Mn |
| Mar 31, 2023 | -160.60 Mn |
| Dec 31, 2022 | -61.40 Mn |
| Sep 30, 2022 | -67.20 Mn |
| Jun 30, 2022 | -82.80 Mn |
| Mar 31, 2022 | -3.80 Mn |
| Dec 31, 2021 | 256.30 Mn |
| Sep 30, 2021 | -45.50 Mn |
Emergent BioSolutions EBT 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=ebt&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();