Emergent BioSolutions (EBS) Inventory (2010 - 2026)
Emergent BioSolutions (EBS) posted Inventory of $280.9 million for Q3 2026, down 21.2% from $356.3 million a year earlier and down 7.5% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Inventory came in at $343.4 million, up 10.2% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In prior years, Emergent BioSolutions' Inventory was $311.7 million in FY2024 (-5.2%), $328.9 million in FY2023 (-6.2%), $350.7 million in FY2022 (+1.8%) and $344.5 million in FY2021 (+12.2%).
- The Q3 2026 figure stands as the lowest quarterly Inventory since Q3 2020.
- On a year-over-year basis, Inventory increased in four of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2022, with growth of 44.9%; the weakest was Q3 2023, with a decline of 33.0%.
- According to Business Quant data, Inventory for the three prior quarters was $303.6 million (Q2 2026), $327.6 million (Q1 2026) and $343.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 18.19 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 15.38 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 5.31 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 6.16 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.22 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 6.93 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.39 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.90 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 10.02 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | 280.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 280.90 Mn |
| 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 |
API Access
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_KEYimport 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();