Emergent BioSolutions (EBS) Accumulated Expenses (2010 - 2026)
Emergent BioSolutions (EBS) posted Accumulated Expenses of $26.2 million for Q2 2026, up 19.09% on a QoQ basis from $22.0 million in Q1 2026, and down 16.83% year-over-year from $31.5 million in Q2 2025.
Emergent BioSolutions (EBS) Accumulated Expenses (2010 - 2026) Analysis & Trends
Emergent BioSolutions has reported Accumulated Expenses for 17 years, with the latest figure at $26.2 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 16.83% year-over-year to $26.2 million in Q2 2026; TTM through Jun 2026 was $26.2 million, a 16.83% decrease from a year earlier, with the FY2025 full-year figure at $41.8 million, down 25.49% from the prior year.
- Accumulated Expenses was $26.2 million for Q2 2026 at Emergent BioSolutions, up from $22.0 million in the prior quarter.
- The five-year high for Accumulated Expenses was $87.3 million in Q4 2022, with the low at $22.0 million in Q1 2026.
- Average Accumulated Expenses over 5 years is $55.2 million, with a median of $56.6 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses climbed 17.72% in 2022, then plunged 52.77% in 2025.
- Over 5 years, Accumulated Expenses stood at $87.3 million in 2022, then fell by 15.12% to $74.1 million in 2023, then slipped by 24.29% to $56.1 million in 2024, then slipped by 25.49% to $41.8 million in 2025, then slumped by 37.32% to $26.2 million in 2026.
- The last three Accumulated Expenses figures came in at $26.2 million (Q2 2026), $22.0 million (Q1 2026), and $41.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.20 Mn |
| Mar 31, 2026 | 22.00 Mn |
| Dec 31, 2025 | 41.80 Mn |
| Sep 30, 2025 | 36.60 Mn |
| Jun 30, 2025 | 31.50 Mn |
| Mar 31, 2025 | 24.70 Mn |
| Dec 31, 2024 | 56.10 Mn |
| Sep 30, 2024 | 63.30 Mn |
| Jun 30, 2024 | 66.70 Mn |
| Mar 31, 2024 | 42.00 Mn |
| Dec 31, 2023 | 74.10 Mn |
| Sep 30, 2023 | 82.50 Mn |
| Jun 30, 2023 | 69.60 Mn |
| Mar 31, 2023 | 56.80 Mn |
| Dec 31, 2022 | 87.30 Mn |
| Sep 30, 2022 | 82.50 Mn |
| Jun 30, 2022 | 74.40 Mn |
| Mar 31, 2022 | 56.40 Mn |
| Dec 31, 2021 | 88.70 Mn |
| Sep 30, 2021 | 73.40 Mn |
Emergent BioSolutions Accumulated 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=accumulated-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();