Emergent BioSolutions (EBS) Payables (2010 - 2026)
Emergent BioSolutions' Payables was $50.2 million in Q2 2026, down 21.2% from $63.7 million a year earlier but up 27.1% from the prior quarter.
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Analysis
Emergent BioSolutions (EBS) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Payables at Emergent BioSolutions came in at $55.6 million, down 8.7% from FY2024.
- Payables has now declined for three consecutive years, with a five-year compound annual growth rate of -20.0% (FY2020 to FY2025).
- In earlier years, Payables was $60.9 million in FY2024 (-88.4%), $525.9 million in FY2023 (-50.4%), $1.06 billion in FY2022 (+560.9%) and $160.5 million in FY2021 (-5.5%).
- Quarterly Payables has moved between $39.5 million (Q1 2026) and $1.07 billion (Q1 2023) over five years.
- Compared with a year earlier, Payables has declined for 11 straight quarters, with an average decline of 55.3% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was Q1 2023 (growth of 673.9%); the worst was Q1 2025 (a decline of 89.6%).
- Per Business Quant data, EBS's Payables in the three quarters before Q2 2026 was $39.5 million (Q1 2026), $55.6 million (Q4 2025) and $57.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 20.92 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.96 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 7.03 Bn |
| 10 | Emergent BioSolutions | 319.40 Mn | -431.50 Mn | 137.20 Mn | 50.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.20 Mn |
| Mar 31, 2026 | 39.50 Mn |
| Dec 31, 2025 | 55.60 Mn |
| Sep 30, 2025 | 57.40 Mn |
| Jun 30, 2025 | 63.70 Mn |
| Mar 31, 2025 | 58.10 Mn |
| Dec 31, 2024 | 60.90 Mn |
| Sep 30, 2024 | 82.90 Mn |
| Jun 30, 2024 | 511.10 Mn |
| Mar 31, 2024 | 559.40 Mn |
| Dec 31, 2023 | 525.90 Mn |
| Sep 30, 2023 | 526.30 Mn |
| Jun 30, 2023 | 563.50 Mn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 122.20 Mn |
| Jun 30, 2022 | 137.80 Mn |
| Mar 31, 2022 | 138.90 Mn |
| Dec 31, 2021 | 160.50 Mn |
| Sep 30, 2021 | 166.80 Mn |
API Access
Emergent BioSolutions Payables 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=payables&ticker=EBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();