Emergent BioSolutions (EBS) Total Non-Current Liabilities (2010 - 2026)
Emergent BioSolutions (EBS) posted Total Non-Current Liabilities of $651.9 million for Q3 2026, down 22.0% from $835.9 million a year earlier and down 11.9% 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 -10.2% (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 (+0.4%).
- The Q3 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 13 quarters, with an average decline of 17.7% 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 49.4%; 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 $740 million (Q2 2026), $755.6 million (Q1 2026) and $742.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | 651.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 651.90 Mn |
| 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 |
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();