Emergent BioSolutions (EBS) Total Current Liabilities (2010 - 2026)
Emergent BioSolutions' Total Current Liabilities came in at $122.8 million for Q2 2026, down 3.4% from $127.1 million a year earlier and down 17.4% from the prior quarter.
Emergent BioSolutions (EBS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Emergent BioSolutions' Total Current Liabilities was $132.2 million, down 18.6% from FY2024.
- Total Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $162.4 million in FY2024 (-75.1%), $651.3 million in FY2023 (-47.0%), $1.23 billion in FY2022 (+228.6%) and $374 million in FY2021 (-2.7%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q1 2025.
- Year-over-year, Total Current Liabilities increased in 1 of the last eight quarters, with an average decline of 41.5%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2023 (growth of 387.8%), and the weakest in Q1 2025 (a decline of 82.2%).
- Business Quant data shows EBS's Total Current Liabilities at $148.7 million (Q1 2026), $132.2 million (Q4 2025) and $136.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Emergent BioSolutions | 325.34 Mn | -425.56 Mn | 137.20 Mn | 122.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.80 Mn |
| Mar 31, 2026 | 148.70 Mn |
| Dec 31, 2025 | 132.20 Mn |
| Sep 30, 2025 | 136.50 Mn |
| Jun 30, 2025 | 127.10 Mn |
| Mar 31, 2025 | 111.90 Mn |
| Dec 31, 2024 | 162.40 Mn |
| Sep 30, 2024 | 229.90 Mn |
| Jun 30, 2024 | 619.70 Mn |
| Mar 31, 2024 | 630.20 Mn |
| Dec 31, 2023 | 651.30 Mn |
| Sep 30, 2023 | 664.00 Mn |
| Jun 30, 2023 | 693.20 Mn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.23 Bn |
| Sep 30, 2022 | 264.40 Mn |
| Jun 30, 2022 | 276.70 Mn |
| Mar 31, 2022 | 249.20 Mn |
| Dec 31, 2021 | 374.00 Mn |
| Sep 30, 2021 | 365.40 Mn |
Emergent BioSolutions Total Current Liabilities 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=total-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();