Agios Pharmaceuticals (AGIO) Non-Current Deferred Revenue (2012 - 2019)
Agios Pharmaceuticals' Non-Current Deffered Revenue came in at $50.58 million for Q4 2019, down 15.4% from $59.81 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Agios Pharmaceuticals (AGIO) Non-Current Deferred Revenue (2012 - 2019) Analysis & Trends
Going back to Q4 2012, Agios Pharmaceuticals' Non-Current Deffered Revenue data covers 28 quarters.
- Non-Current Deffered Revenue has declined in each of the last three years, though with a five-year compound annual growth rate of 79.4% (FY2014 to FY2019).
- Going back by year, Non-Current Deffered Revenue was $59.81 million in FY2018 (-52.5%), $125.8 million in FY2017 (-18.5%), $154.3 million in FY2016 and $4.7 million in FY2015 (+72.4%).
- The five-year range for quarterly Non-Current Deffered Revenue is $133,000 (Q1 2015) to $183.54 million (Q2 2016).
- Year-over-year, Non-Current Deffered Revenue has declined for 11 consecutive quarters, with an average decline of 37.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in Q4 2015 (growth of 72.4%), and the weakest in Q1 2015 (a decline of 99.5%).
- Business Quant data shows AGIO's Non-Current Deffered Revenue at $49.8 million (Q3 2019), $51.62 million (Q2 2019) and $54.96 million (Q1 2019) in the three quarters before Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Agios Pharmaceuticals | 1.90 Bn | -940.41 Mn | 52.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 50.58 Mn |
| Sep 30, 2019 | 49.80 Mn |
| Jun 30, 2019 | 51.62 Mn |
| Mar 31, 2019 | 54.96 Mn |
| Dec 31, 2018 | 59.81 Mn |
| Sep 30, 2018 | 66.29 Mn |
| Jun 30, 2018 | 72.41 Mn |
| Mar 31, 2018 | 81.83 Mn |
| Dec 31, 2017 | 125.80 Mn |
| Sep 30, 2017 | 134.20 Mn |
| Jun 30, 2017 | 141.96 Mn |
| Mar 31, 2017 | 150.60 Mn |
| Dec 31, 2016 | 154.30 Mn |
| Sep 30, 2016 | 173.94 Mn |
| Jun 30, 2016 | 183.54 Mn |
| Mar 31, 2016 | 1.95 Mn |
| Dec 31, 2015 | 4.70 Mn |
| Sep 30, 2015 | 6.24 Mn |
| Jun 30, 2015 | 9.39 Mn |
| Mar 31, 2015 | 133,000.00 |
API Access
Agios Pharmaceuticals Non-Current Deferred 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=AGIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "ticker": "AGIO", "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=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();