Emergent BioSolutions (EBS) Cash & Equivalents (2010 - 2026)
Emergent BioSolutions' Cash & Equivalents came in at $139.7 million for Q2 2026, down 47.7% from $267.3 million a year earlier and down 12.9% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Cash & Equivalents was $205.4 million, up 106.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -19.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $99.5 million in FY2024 (-10.9%), $111.7 million in FY2023 (-82.6%), $642.6 million in FY2022 (+11.5%) and $576.1 million in FY2021 (-7.3%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q4 2024.
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 70.4%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2025 (growth of 283.5%), and the weakest in Q4 2023 (a decline of 82.6%).
- Business Quant data shows EBS's Cash & Equivalents at $160.3 million (Q1 2026), $205.4 million (Q4 2025) and $245.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Emergent BioSolutions | 319.09 Mn | -431.81 Mn | 137.20 Mn | 139.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.70 Mn |
| Mar 31, 2026 | 160.30 Mn |
| Dec 31, 2025 | 205.40 Mn |
| Sep 30, 2025 | 245.50 Mn |
| Jun 30, 2025 | 267.30 Mn |
| Mar 31, 2025 | 149.10 Mn |
| Dec 31, 2024 | 99.50 Mn |
| Sep 30, 2024 | 149.90 Mn |
| Jun 30, 2024 | 69.70 Mn |
| Mar 31, 2024 | 78.50 Mn |
| Dec 31, 2023 | 111.70 Mn |
| Sep 30, 2023 | 87.80 Mn |
| Jun 30, 2023 | 88.60 Mn |
| Mar 31, 2023 | 430.20 Mn |
| Dec 31, 2022 | 642.60 Mn |
| Sep 30, 2022 | 240.90 Mn |
| Jun 30, 2022 | 358.10 Mn |
| Mar 31, 2022 | 435.80 Mn |
| Dec 31, 2021 | 576.10 Mn |
| Sep 30, 2021 | 403.80 Mn |
API Access
Emergent BioSolutions Cash & Equivalents 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=cash-and-equivalents&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();