Emergent BioSolutions (EBS) Other Non-Current Liabilities (2010 - 2026)
Emergent BioSolutions' Other Non-Current Liabilities came in at $35.4 million for Q2 2026, down 10.4% from $39.5 million a year earlier and down 15.1% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Other Non-Current Liabilities was $53.9 million, up 37.9% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $39.1 million in FY2024 (+35.3%), $28.9 million in FY2023 (-30.4%), $41.5 million in FY2022 (-40.3%) and $69.5 million in FY2021 (+2.5%).
- The five-year range for quarterly Other Non-Current Liabilities is $23.4 million (Q2 2023) to $69.5 million (Q4 2021).
- Year-over-year, Other Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 24.3%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2025 (growth of 53.7%), and the weakest in Q2 2023 (a decline of 60.0%).
- Business Quant data shows EBS's Other Non-Current Liabilities at $41.7 million (Q1 2026), $53.9 million (Q4 2025) and $42.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,147.42 Bn | 1,116.01 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.36 Bn | 541.89 Bn | 17.26 Bn |
| 3 | AbbVie | 509.56 Bn | 482.67 Bn | 12.70 Bn |
| 4 | Merck | 365.93 Bn | 320.31 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.31 Bn | 261.30 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.52 Bn | 235.20 Bn | 12.86 Bn |
| 7 | Amgen | 235.01 Bn | 190.41 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.77 Bn | 167.97 Bn | 6.22 Bn |
| 9 | Pfizer | 171.91 Bn | 118.56 Bn | 10.94 Bn |
| 10 | Emergent BioSolutions | 323.02 Mn | -427.88 Mn | 137.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.40 Mn |
| Mar 31, 2026 | 41.70 Mn |
| Dec 31, 2025 | 53.90 Mn |
| Sep 30, 2025 | 42.60 Mn |
| Jun 30, 2025 | 39.50 Mn |
| Mar 31, 2025 | 35.40 Mn |
| Dec 31, 2024 | 39.10 Mn |
| Sep 30, 2024 | 35.80 Mn |
| Jun 30, 2024 | 25.70 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 28.90 Mn |
| Sep 30, 2023 | 31.30 Mn |
| Jun 30, 2023 | 23.40 Mn |
| Mar 31, 2023 | 24.10 Mn |
| Dec 31, 2022 | 41.50 Mn |
| Sep 30, 2022 | 52.30 Mn |
| Jun 30, 2022 | 58.50 Mn |
| Mar 31, 2022 | 61.30 Mn |
| Dec 31, 2021 | 69.50 Mn |
| Sep 30, 2021 | 101.50 Mn |
API Access
Emergent BioSolutions Other 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=other-non-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();