Emergent BioSolutions (EBS) Total Current Liabilities (2010 - 2026)
Emergent BioSolutions' Total Current Liabilities came in at $122 million for Q3 2026, down 10.6% from $136.5 million a year earlier and down 0.7% 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 Q3 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 34.6%.
- 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 $122.8 million (Q2 2026), $148.7 million (Q1 2026) and $132.2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Emergent BioSolutions | 310.37 Mn | -370.73 Mn | 29.20 Mn | 122.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.00 Mn |
| 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 |
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();