Emergent BioSolutions (EBS) Short-Term Debt repayments (2019 - 2024)
Emergent BioSolutions (EBS) posted Short-Term Debt repayments of $284.2 million for FY2024, down 28.7% from $398.8 million in FY2023.
Analysis
Emergent BioSolutions (EBS) Short-Term Debt repayments (2019 - 2024) Analysis & Trends
Since FY2019, Emergent BioSolutions has reported Short-Term Debt repayments for 4 years.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of 22.0% (FY2019 to FY2024).
- The FY2024 figure stands as the lowest annual Short-Term Debt repayments since FY2019.
- Business Quant data shows EBS's Short-Term Debt repayments at $398.8 million in FY2023 and $373 million in FY2020 (+255.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,168.95 Bn | 1,137.53 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 642.08 Bn | 560.60 Bn | 17.26 Bn | 6.45 Bn |
| 3 | AbbVie | 500.03 Bn | 473.14 Bn | 12.70 Bn | - |
| 4 | Merck | 359.04 Bn | 313.42 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 301.98 Bn | 265.97 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.05 Bn | 240.74 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.60 Bn | 197.00 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 192.44 Bn | 166.64 Bn | 6.22 Bn | - |
| 9 | Pfizer | 171.37 Bn | 118.01 Bn | 10.94 Bn | - |
| 10 | Emergent BioSolutions | 323.53 Mn | -427.37 Mn | 137.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 222.70 Mn |
| Jun 30, 2024 | 56.50 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 39.00 Mn |
| Jun 30, 2023 | 347.80 Mn |
| Sep 30, 2020 | 353.00 Mn |
| Mar 31, 2020 | 20.00 Mn |
| Dec 31, 2019 | 10.00 Mn |
| Sep 30, 2019 | 15.00 Mn |
| Mar 31, 2019 | 80.00 Mn |
API Access
Emergent BioSolutions Short-Term Debt repayments 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=short-term-debt-repayments&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();