Emergent BioSolutions (EBS) Operating Expenses (2011 - 2026)
Emergent BioSolutions' Operating Expenses was $359.4 million in Q2 2026, up 158.0% from $139.3 million a year earlier and up 146.8% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Emergent BioSolutions' Operating Expenses was $836.2 million through Jun 30, 2026, up 12.2% year-over-year; for FY2025, it was $642.8 million, down 44.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.15 billion in FY2024 (-35.1%), $1.78 billion in FY2023 (+37.9%), $1.29 billion in FY2022 (-10.1%) and $1.43 billion in FY2021 (+25.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2024.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 12.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 158.0%); the worst was Q2 2025 (a decline of 69.6%).
- Per Business Quant data, EBS's Operating Expenses in the three quarters before Q2 2026 was $145.6 million (Q1 2026), $176.6 million (Q4 2025) and $154.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 359.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 359.40 Mn |
| Mar 31, 2026 | 145.60 Mn |
| Dec 31, 2025 | 176.60 Mn |
| Sep 30, 2025 | 154.60 Mn |
| Jun 30, 2025 | 139.30 Mn |
| Mar 31, 2025 | 172.30 Mn |
| Dec 31, 2024 | 204.20 Mn |
| Sep 30, 2024 | 229.30 Mn |
| Jun 30, 2024 | 458.20 Mn |
| Mar 31, 2024 | 260.60 Mn |
| Dec 31, 2023 | 320.40 Mn |
| Sep 30, 2023 | 512.60 Mn |
| Jun 30, 2023 | 630.80 Mn |
| Mar 31, 2023 | 311.90 Mn |
| Dec 31, 2022 | 385.50 Mn |
| Sep 30, 2022 | 285.20 Mn |
| Jun 30, 2022 | 314.70 Mn |
| Mar 31, 2022 | 301.10 Mn |
| Dec 31, 2021 | 437.90 Mn |
| Sep 30, 2021 | 363.70 Mn |
API Access
Emergent BioSolutions Operating Expenses 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=operating-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();