Emergent BioSolutions (EBS) Inventory (2010 - 2026)
Emergent BioSolutions (EBS) posted Inventory of $303.6 million for Q2 2026, down 10.3% from $338.6 million a year earlier and down 7.3% 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 Q2 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 growth averaging 0.2%.
- 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 $327.6 million (Q1 2026), $343.4 million (Q4 2025) and $356.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 16.79 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 15.14 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 5.13 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 6.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.22 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 6.93 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.22 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 1.95 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 9.95 Bn |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 303.60 Mn |
Historic Data
Download Data
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 |
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();