Emergent BioSolutions (EBS) Total Non-Current Liabilities (2010 - 2026)
Emergent BioSolutions (EBS) posted Total Non-Current Liabilities of $740 million for Q2 2026, down 12.1% from $841.4 million a year earlier and down 2.1% from the prior quarter.
Emergent BioSolutions (EBS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Total Non-Current Liabilities came in at $742.1 million, down 14.5% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- In prior years, Emergent BioSolutions' Total Non-Current Liabilities was $867.8 million in FY2024 (-24.2%), $1.15 billion in FY2023 (-34.1%), $1.74 billion in FY2022 (+36.1%) and $1.28 billion in FY2021 (-6.4%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2018.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 12 quarters, with an average decline of 17.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 47.9%; the weakest was Q1 2024, with a decline of 35.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $755.6 million (Q1 2026), $742.1 million (Q4 2025) and $835.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 740.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 740.00 Mn |
| Mar 31, 2026 | 755.60 Mn |
| Dec 31, 2025 | 742.10 Mn |
| Sep 30, 2025 | 835.90 Mn |
| Jun 30, 2025 | 841.40 Mn |
| Mar 31, 2025 | 838.00 Mn |
| Dec 31, 2024 | 867.80 Mn |
| Sep 30, 2024 | 933.60 Mn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | 1.74 Bn |
| Sep 30, 2022 | 1.41 Bn |
| Jun 30, 2022 | 1.17 Bn |
| Mar 31, 2022 | 1.15 Bn |
| Dec 31, 2021 | 1.28 Bn |
| Sep 30, 2021 | 1.24 Bn |
Emergent BioSolutions Total Non-Current 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-non-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();