Emergent BioSolutions (EBS) Non-Current Deffered Revenue (2010 - 2022)
Emergent BioSolutions (EBS) reported Non-Current Deffered Revenue of $5.9 million for Q1 2022, down 88.8% from $52.5 million a year earlier but up 25.5% from the prior quarter.
Emergent BioSolutions (EBS) Non-Current Deffered Revenue (2010 - 2022) Analysis & Trends
At the end of FY2021, Emergent BioSolutions posted Non-Current Deffered Revenue of $4.7 million, down 91.5% from FY2020.
- Non-Current Deffered Revenue has a five-year compound annual growth rate of -11.0% (FY2016 to FY2021).
- By year, Non-Current Deffered Revenue came in at $55.5 million in FY2020 (-35.2%), $85.6 million in FY2019 (+37.0%), $62.5 million in FY2018 (+261.3%) and $17.3 million in FY2017 (+105.1%).
- Five-year quarterly Non-Current Deffered Revenue spans a low of $4.7 million in Q4 2021 and a high of $85.6 million in Q4 2019.
- Year over year, Non-Current Deffered Revenue has now declined in each of the last seven quarters, with an average decline of 42.1% over the last eight quarters.
- The high point for year-over-year Non-Current Deffered Revenue in five years was Q3 2017 (growth of 431.8%); the low point was Q4 2021 (a decline of 91.5%).
- Per Business Quant data, the three quarters before Q1 2022 came in at $4.7 million (Q4 2021), $45.3 million (Q3 2021) and $48.9 million (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,174.91 Bn | 1,143.49 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.40 Bn | 562.93 Bn | 17.26 Bn | - |
| 3 | AbbVie | 503.86 Bn | 476.97 Bn | 12.70 Bn | - |
| 4 | Merck | 379.74 Bn | 334.12 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 303.49 Bn | 267.48 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 269.36 Bn | 243.04 Bn | 12.86 Bn | - |
| 7 | Amgen | 243.43 Bn | 198.83 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.04 Bn | 168.24 Bn | 6.22 Bn | - |
| 9 | Pfizer | 172.94 Bn | 119.58 Bn | 10.94 Bn | - |
| 10 | Emergent BioSolutions | 327.66 Mn | -423.24 Mn | 137.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.90 Mn |
| Dec 31, 2021 | 4.70 Mn |
| Sep 30, 2021 | 45.30 Mn |
| Jun 30, 2021 | 48.90 Mn |
| Mar 31, 2021 | 52.50 Mn |
| Dec 31, 2020 | 55.50 Mn |
| Sep 30, 2020 | 60.40 Mn |
| Jun 30, 2020 | 85.30 Mn |
| Mar 31, 2020 | 85.00 Mn |
| Dec 31, 2019 | 85.60 Mn |
| Sep 30, 2019 | 81.60 Mn |
| Jun 30, 2019 | 77.00 Mn |
| Mar 31, 2019 | 64.70 Mn |
| Dec 31, 2018 | 62.50 Mn |
| Sep 30, 2018 | 65.34 Mn |
| Jun 30, 2018 | 63.26 Mn |
| Mar 31, 2018 | 59.37 Mn |
| Dec 31, 2017 | 17.30 Mn |
| Sep 30, 2017 | 24.97 Mn |
| Jun 30, 2017 | 17.09 Mn |
Emergent BioSolutions Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=EBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=EBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();