Emergent BioSolutions (EBS) Interest Expenses (2011 - 2026)
Emergent BioSolutions (EBS) posted Interest Expenses of $10.0 million for Q2 2026, down 9.09% on a QoQ basis from $11.0 million in Q1 2026, and down 31.97% year-over-year from $14.7 million in Q2 2025.
Emergent BioSolutions (EBS) Interest Expenses (2011 - 2026) Analysis & Trends
Emergent BioSolutions has reported Interest Expenses for 16 years, with the latest figure at $10.0 million in Q2 2026.
- On a quarterly basis, Interest Expenses fell 31.97% year-over-year to $10.0 million in Q2 2026; TTM through Jun 2026 was $50.9 million, a 3.05% decrease from a year earlier, with the FY2025 full-year figure at $59.3 million, down 16.48% from the prior year.
- Interest Expenses was $10.0 million for Q2 2026 at Emergent BioSolutions, down from $11.0 million in the prior quarter.
- The five-year high for Interest Expenses was $28.6 million in Q2 2023, with the low at $7.8 million in Q2 2022.
- Average Interest Expenses over 5 years is $15.4 million, with a median of $14.7 million recorded in 2025.
- The sharpest annual moves came in 2023 and 2024: Interest Expenses soared 266.67% in 2023, then slumped 57.87% in 2024.
- Over 5 years, Interest Expenses stood at $12.8 million in 2022, then surged by 69.53% to $21.7 million in 2023, then sank by 31.8% to $14.8 million in 2024, then slipped by 0.68% to $14.7 million in 2025, then tumbled by 31.97% to $10.0 million in 2026.
- The last three Interest Expenses figures came in at $10.0 million (Q2 2026), $11.0 million (Q1 2026), and $14.7 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 467.46 Bn | 460.93 Bn | 12.70 Bn | - |
| 3 | Merck | 369.31 Bn | 362.22 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 269.03 Bn | 261.74 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Pfizer | 158.11 Bn | 146.71 Bn | 10.94 Bn | - |
| 6 | Bristol Myers Squibb | 127.96 Bn | 116.89 Bn | 9.25 Bn | - |
| 7 | Sanofi | 51.83 Bn | 44.86 Bn | 10.79 Bn | -333.60 Mn |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 39.74 Mn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | 23.78 Mn |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | 10.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.00 Mn |
| Mar 31, 2026 | 11.00 Mn |
| Dec 31, 2025 | 14.70 Mn |
| Sep 30, 2025 | 15.20 Mn |
| Jun 30, 2025 | 14.70 Mn |
| Mar 31, 2025 | 14.70 Mn |
| Dec 31, 2024 | 14.80 Mn |
| Sep 30, 2024 | 8.30 Mn |
| Jun 30, 2024 | 23.60 Mn |
| Mar 31, 2024 | 24.30 Mn |
| Dec 31, 2023 | 21.70 Mn |
| Sep 30, 2023 | 19.70 Mn |
| Jun 30, 2023 | 28.60 Mn |
| Mar 31, 2023 | 17.90 Mn |
| Dec 31, 2022 | 12.80 Mn |
| Sep 30, 2022 | 8.50 Mn |
| Jun 30, 2022 | 7.80 Mn |
| Mar 31, 2022 | 8.20 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 8.40 Mn |
Emergent BioSolutions Interest Expenses 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=interest-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();