Emergent BioSolutions (EBS) Non-Current Debt (2010 - 2026)
Emergent BioSolutions (EBS) posted Non-Current Debt of $581.8 million for Q2 2026, down 12.9% from $667.8 million a year earlier but up 1.4% from the prior quarter.
Powered by 
Analysis
Emergent BioSolutions (EBS) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Non-Current Debt came in at $572.1 million, down 13.8% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In prior years, Emergent BioSolutions' Non-Current Debt was $663.7 million in FY2024 (+48.6%), $446.5 million in FY2023 (-0.4%), $448.5 million in FY2022 (-44.6%) and $809.4 million in FY2021 (-3.8%).
- Quarterly Non-Current Debt has run from a low of $446.5 million in Q4 2023 to a high of $1.03 billion in Q3 2022 over five years.
- On a year-over-year basis, Non-Current Debt has declined in each of the last three quarters, with growth averaging 19.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q2 2025, with growth of 49.4%; the weakest was Q3 2023, with a decline of 56.6%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $573.6 million (Q1 2026), $572.1 million (Q4 2025) and $663.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,148.26 Bn | 1,116.85 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 624.74 Bn | 543.27 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 509.56 Bn | 482.67 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 366.23 Bn | 320.60 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.81 Bn | 261.80 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 262.30 Bn | 235.98 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.42 Bn | 168.61 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 172.08 Bn | 118.73 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Emergent BioSolutions | 325.60 Mn | -425.30 Mn | 137.20 Mn | 581.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 581.80 Mn |
| Mar 31, 2026 | 573.60 Mn |
| Dec 31, 2025 | 572.10 Mn |
| Sep 30, 2025 | 663.10 Mn |
| Jun 30, 2025 | 667.80 Mn |
| Mar 31, 2025 | 665.70 Mn |
| Dec 31, 2024 | 663.70 Mn |
| Sep 30, 2024 | 661.80 Mn |
| Jun 30, 2024 | 447.00 Mn |
| Mar 31, 2024 | 446.70 Mn |
| Dec 31, 2023 | 446.50 Mn |
| Sep 30, 2023 | 448.20 Mn |
| Jun 30, 2023 | 448.00 Mn |
| Mar 31, 2023 | 447.70 Mn |
| Dec 31, 2022 | 448.50 Mn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 793.60 Mn |
| Mar 31, 2022 | 801.50 Mn |
| Dec 31, 2021 | 809.40 Mn |
| Sep 30, 2021 | 817.30 Mn |
API Access
Emergent BioSolutions Non-Current Debt 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=non-current-debt&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();