Emergent BioSolutions (EBS) Total Debt (2010 - 2026)
Emergent BioSolutions (EBS) reported Total Debt of $507.7 million for Q3 2026, down 23.4% from $663.1 million a year earlier and down 12.7% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions posted Total Debt of $572.1 million, down 13.8% from FY2024.
- Total Debt has declined for three consecutive years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- By year, Total Debt came in at $663.7 million in FY2024 (-22.8%), $860.2 million in FY2023 (-38.8%), $1.41 billion in FY2022 (+67.2%) and $841 million in FY2021 (-3.9%).
- The Q3 2026 figure ranks as the lowest quarterly Total Debt since Q3 2018.
- Year over year, Total Debt has now declined in each of the last four quarters, with an average decline of 17.0% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q1 2023 (growth of 67.9%); the low point was Q4 2023 (a decline of 38.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $581.8 million (Q2 2026), $573.6 million (Q1 2026) and $572.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | 507.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 507.70 Mn |
| 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 | 662.60 Mn |
| Jun 30, 2024 | 862.20 Mn |
| Mar 31, 2024 | 905.90 Mn |
| Dec 31, 2023 | 860.20 Mn |
| Sep 30, 2023 | 861.80 Mn |
| Jun 30, 2023 | 903.20 Mn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.41 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 825.20 Mn |
| Mar 31, 2022 | 833.10 Mn |
| Dec 31, 2021 | 841.00 Mn |
API Access
Emergent BioSolutions Total 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=total-debt&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();