Emergent BioSolutions (EBS) Prepaid Assets (2010 - 2026)
Emergent BioSolutions (EBS) posted Prepaid Assets of $25.4 million for Q2 2026, down 5.58% on a QoQ basis from $26.9 million in Q1 2026, and up 5.83% year-over-year from $24.0 million in Q2 2025.
Emergent BioSolutions (EBS) Prepaid Assets (2010 - 2026) Analysis & Trends
Emergent BioSolutions has reported Prepaid Assets for 17 years, with the latest figure at $25.4 million in Q2 2026.
- On a quarterly basis, Prepaid Assets rose 5.83% year-over-year to $25.4 million in Q2 2026; TTM through Jun 2026 was $25.4 million, a 5.83% increase from a year earlier, with the FY2025 full-year figure at $25.8 million, down 4.09% from the prior year.
- Prepaid Assets was $25.4 million for Q2 2026 at Emergent BioSolutions, down from $26.9 million in the prior quarter.
- The five-year high for Prepaid Assets was $139.9 million in Q3 2022, with the low at $24.0 million in Q2 2025.
- Average Prepaid Assets over 5 years is $51.1 million, with a median of $39.1 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Prepaid Assets jumped 93.84% in 2022, then sank 64.35% in 2023.
- Over 5 years, Prepaid Assets stood at $57.9 million in 2022, then slipped by 17.27% to $47.9 million in 2023, then slumped by 43.84% to $26.9 million in 2024, then dropped by 4.09% to $25.8 million in 2025, then fell by 1.55% to $25.4 million in 2026.
- The last three Prepaid Assets figures came in at $25.4 million (Q2 2026), $26.9 million (Q1 2026), and $25.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.47 Bn | 628.71 Bn | 17.26 Bn |
| 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 |
| 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 |
| 8 | BeOne Medicines | 41.33 Bn | 36.23 Bn | 1.53 Bn |
| 9 | Revolution Medicines | 41.30 Bn | 41.30 Bn | - |
| 10 | Emergent BioSolutions | 335.50 Mn | 194.60 Mn | 137.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.40 Mn |
| Mar 31, 2026 | 26.90 Mn |
| Dec 31, 2025 | 25.80 Mn |
| Sep 30, 2025 | 25.60 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 30.20 Mn |
| Dec 31, 2024 | 26.90 Mn |
| Sep 30, 2024 | 61.00 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | 36.50 Mn |
| Dec 31, 2023 | 47.90 Mn |
| Sep 30, 2023 | 62.40 Mn |
| Jun 30, 2023 | 44.70 Mn |
| Mar 31, 2023 | 41.70 Mn |
| Dec 31, 2022 | 57.90 Mn |
| Sep 30, 2022 | 139.90 Mn |
| Jun 30, 2022 | 125.40 Mn |
| Mar 31, 2022 | 81.80 Mn |
| Dec 31, 2021 | 70.20 Mn |
| Sep 30, 2021 | 88.30 Mn |
Emergent BioSolutions Prepaid Assets 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=prepaid-assets&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();