Emergent BioSolutions (EBS) Non Operating Interest Expenses (2011 - 2026)
Emergent BioSolutions (EBS) reported Non Operating Interest Expenses of $10 million for 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) Non Operating Interest Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Emergent BioSolutions' Non Operating Interest Expenses came in at $50.9 million, down 3.0% year-over-year; for FY2025, it came in at $59.3 million, down 16.5% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $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 ranks as the lowest quarterly Non Operating Interest Expenses since Q3 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last three quarters, with an average decline of 17.7% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 266.7%); the low point was Q3 2024 (a decline of 57.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Emergent BioSolutions | 319.40 Mn | -431.50 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 Non Operating 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=non-operating-interest-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();