Emergent BioSolutions (EBS) Times Interest Earned (2011 - 2026)
Emergent BioSolutions (EBS) posted Times Interest Earned of 12.51 for Q2 2026, down 1410.57% on a QoQ basis from 0.95 in Q1 2026, and down 11593.56% year-over-year from N/an in Q2 2025.
Emergent BioSolutions (EBS) Times Interest Earned (2011 - 2026) Analysis & Trends
Emergent BioSolutions has reported Times Interest Earned for 16 years, with the latest figure at 12.51 in Q2 2026.
- On a quarterly basis, Times Interest Earned fell 11593.56% year-over-year to 12.51 in Q2 2026; TTM through Jun 2026 was 1.3, a 163.92% decrease from a year earlier, with the FY2025 full-year figure at 1.69, up 210.26% from the prior year.
- Times Interest Earned was 12.51 for Q2 2026 at Emergent BioSolutions, down from 0.95 in the prior quarter.
- The five-year high for Times Interest Earned was 7.77 in Q3 2024, with the low at 12.51 in Q2 2026.
- Average Times Interest Earned over 5 years is 3.12, with a median of 1.96 recorded in 2023.
- The sharpest annual moves came in 2024 and 2026: Times Interest Earned jumped 163.23% in 2024, then sank 11593.56% in 2026.
- Over 5 years, Times Interest Earned stood at 4.32 in 2022, then surged by 53.28% to 2.02 in 2023, then jumped by 68.2% to 0.64 in 2024, then slumped by 195.68% to 1.9 in 2025, then plunged by 559.13% to 12.51 in 2026.
- The last three Times Interest Earned figures came in at 12.51 (Q2 2026), 0.95 (Q1 2026), and 1.9 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 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 | 3.65 |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn | 8.18 |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - | -21.24 |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn | -12.51 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.51 |
| Mar 31, 2026 | 0.95 |
| Dec 31, 2025 | -1.90 |
| Sep 30, 2025 | 5.03 |
| Jun 30, 2025 | 0.11 |
| Mar 31, 2025 | 3.39 |
| Dec 31, 2024 | -0.64 |
| Sep 30, 2024 | 7.77 |
| Jun 30, 2024 | -8.62 |
| Mar 31, 2024 | 1.64 |
| Dec 31, 2023 | -2.02 |
| Sep 30, 2023 | -12.29 |
| Jun 30, 2023 | -10.24 |
| Mar 31, 2023 | -8.25 |
| Dec 31, 2022 | -4.32 |
| Sep 30, 2022 | -5.33 |
| Jun 30, 2022 | -9.78 |
| Mar 31, 2022 | 0.84 |
| Dec 31, 2021 | 31.87 |
| Sep 30, 2021 | -5.32 |
Emergent BioSolutions Times Interest Earned 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=times-interest-earned&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();