Emergent BioSolutions (EBS) Total Liabilities (2010 - 2026)
Emergent BioSolutions (EBS) reported Total Liabilities of $775.4 million for Q2 2026, down 12.0% from $880.9 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions posted Total Liabilities of $796 million, down 12.2% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $906.9 million in FY2024 (-22.7%), $1.17 billion in FY2023 (-34.0%), $1.78 billion in FY2022 (+32.1%) and $1.35 billion in FY2021 (-6.0%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q3 2018.
- Year over year, Total Liabilities has now declined in each of the last 13 quarters, with an average decline of 16.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 43.9%); the low point was Q1 2024 (a decline of 34.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $797.3 million (Q1 2026), $796 million (Q4 2025) and $878.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 775.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 775.40 Mn |
| Mar 31, 2026 | 797.30 Mn |
| Dec 31, 2025 | 796.00 Mn |
| Sep 30, 2025 | 878.50 Mn |
| Jun 30, 2025 | 880.90 Mn |
| Mar 31, 2025 | 873.40 Mn |
| Dec 31, 2024 | 906.90 Mn |
| Sep 30, 2024 | 969.40 Mn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.17 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.75 Bn |
| Dec 31, 2022 | 1.78 Bn |
| Sep 30, 2022 | 1.46 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.34 Bn |
API Access
Emergent BioSolutions Total Liabilities 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=total-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();