Emergent BioSolutions (EBS) Interest Expenses (2011 - 2026)
Emergent BioSolutions' Interest Expenses was $10 million in Q2 2026, down 32.0% from $14.7 million a year earlier and down 9.1% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Interest Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Emergent BioSolutions' Interest Expenses was $50.9 million through Jun 30, 2026, down 3.0% year-over-year; for FY2025, it came in at $59.3 million, down 16.5% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $71 million in FY2024 (-19.2%), $87.9 million in FY2023 (+135.7%), $37.3 million in FY2022 (+8.1%) and $34.5 million in FY2021 (+10.2%).
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q3 2024.
- Compared with a year earlier, Interest Expenses has declined for three straight quarters, with an average decline of 17.7% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2023 (growth of 266.7%); the worst was Q3 2024 (a decline of 57.9%).
- Per Business Quant data, EBS's Interest Expenses in the three quarters before Q2 2026 was $11 million (Q1 2026), $14.7 million (Q4 2025) and $15.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | - |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | - |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 10.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();