Emergent BioSolutions (EBS) Capital Expenditures (2010 - 2026)
Emergent BioSolutions (EBS) posted Capital Expenditures of $2.1 million for Q2 2026, down 27.6% from $2.9 million a year earlier and down 12.5% from the prior quarter.
Emergent BioSolutions (EBS) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Emergent BioSolutions was $11.8 million, down 15.7% year-over-year; for FY2025, it came in at $13.8 million, down 39.7% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, with a five-year compound annual growth rate of -37.3% (FY2020 to FY2025).
- In prior years, Emergent BioSolutions' Capital Expenditures was $22.9 million in FY2024 (-55.6%), $51.6 million in FY2023 (-78.8%), $243.7 million in FY2022 (+8.7%) and $224.1 million in FY2021 (+57.9%).
- The Q2 2026 figure stands as the lowest quarterly Capital Expenditures since Q4 2024.
- On a year-over-year basis, Capital Expenditures increased in 1 of the last eight quarters, with an average decline of 26.9%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2022, with growth of 225.0%; the weakest was Q3 2023, with a decline of 93.0%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $2.4 million (Q1 2026), $3.9 million (Q4 2025) and $3.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,147.40 Bn | 1,115.99 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 623.11 Bn | 541.63 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 509.31 Bn | 482.42 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 365.84 Bn | 320.22 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 297.69 Bn | 261.68 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.62 Bn | 235.30 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 235.65 Bn | 191.05 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 194.07 Bn | 168.27 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 171.97 Bn | 118.61 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Emergent BioSolutions | 325.08 Mn | -425.82 Mn | 137.20 Mn | 2.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | 3.40 Mn |
| Jun 30, 2025 | 2.90 Mn |
| Mar 31, 2025 | 3.60 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 10.80 Mn |
| Dec 31, 2023 | 11.40 Mn |
| Sep 30, 2023 | 12.60 Mn |
| Jun 30, 2023 | 12.50 Mn |
| Mar 31, 2023 | 15.10 Mn |
| Dec 31, 2022 | 23.60 Mn |
| Sep 30, 2022 | 271.60 Mn |
| Jun 30, 2022 | 32.10 Mn |
| Mar 31, 2022 | 32.20 Mn |
| Dec 31, 2021 | 45.80 Mn |
| Sep 30, 2021 | 55.20 Mn |
Emergent BioSolutions Capital Expenditures 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=capital-expenditures&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();