Emergent BioSolutions (EBS) Inventory (2010 - 2026)
Emergent BioSolutions (EBS) posted Inventory of $303.6 million for Q2 2026, down 7.33% on a QoQ basis from $327.6 million in Q1 2026, and down 10.34% year-over-year from $338.6 million in Q2 2025.
Emergent BioSolutions (EBS) Inventory (2010 - 2026) Analysis & Trends
Emergent BioSolutions has reported Inventory for 17 years, with the latest figure at $303.6 million in Q2 2026.
- On a quarterly basis, Inventory fell 10.34% year-over-year to $303.6 million in Q2 2026; TTM through Jun 2026 was $303.6 million, a 10.34% decrease from a year earlier, with the FY2025 full-year figure at $343.4 million, up 10.17% from the prior year.
- Inventory was $303.6 million for Q2 2026 at Emergent BioSolutions, down from $327.6 million in the prior quarter.
- The five-year high for Inventory was $528.2 million in Q3 2022, with the low at $303.6 million in Q2 2026.
- Average Inventory over 5 years is $354.4 million, with a median of $341.0 million recorded in 2025.
- The sharpest annual moves came in 2022 and 2023: Inventory surged 44.87% in 2022, then sank 32.96% in 2023.
- Over 5 years, Inventory stood at $350.7 million in 2022, then declined by 6.22% to $328.9 million in 2023, then slipped by 5.23% to $311.7 million in 2024, then climbed by 10.17% to $343.4 million in 2025, then slipped by 11.59% to $303.6 million in 2026.
- The last three Inventory figures came in at $303.6 million (Q2 2026), $327.6 million (Q1 2026), and $343.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | 9.95 Bn |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | 2.74 Bn |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | 12.93 Bn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 732.60 Mn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | 303.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303.60 Mn |
| Mar 31, 2026 | 327.60 Mn |
| Dec 31, 2025 | 343.40 Mn |
| Sep 30, 2025 | 356.30 Mn |
| Jun 30, 2025 | 338.60 Mn |
| Mar 31, 2025 | 314.00 Mn |
| Dec 31, 2024 | 311.70 Mn |
| Sep 30, 2024 | 322.70 Mn |
| Jun 30, 2024 | 317.50 Mn |
| Mar 31, 2024 | 333.40 Mn |
| Dec 31, 2023 | 328.90 Mn |
| Sep 30, 2023 | 354.10 Mn |
| Jun 30, 2023 | 354.30 Mn |
| Mar 31, 2023 | 367.90 Mn |
| Dec 31, 2022 | 350.70 Mn |
| Sep 30, 2022 | 528.20 Mn |
| Jun 30, 2022 | 425.50 Mn |
| Mar 31, 2022 | 400.70 Mn |
| Dec 31, 2021 | 344.50 Mn |
| Sep 30, 2021 | 364.60 Mn |
Emergent BioSolutions Inventory 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=inventory&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();