Outlook Therapeutics (OTLK) Non-Current Deffered Revenue (2015 - 2019)
Outlook Therapeutics' Non-Current Deffered Revenue came in at $3.53 million for fiscal Q3 2019 (quarter ended Jun 30, 2019), up 15.4% from $3.06 million a year earlier but down 14.2% from the prior quarter.
Outlook Therapeutics (OTLK) Non-Current Deffered Revenue (2015 - 2019) Analysis & Trends
At the end of FY2018 (ended Sep 30, 2018), Outlook Therapeutics' Non-Current Deffered Revenue was $2.76 million, down 38.3% from FY2017.
- Non-Current Deffered Revenue has declined in each of the last three fiscal years, with a three-year compound annual growth rate of -24.3% (FY2015 to FY2018).
- Going back by fiscal year, Non-Current Deffered Revenue was $4.47 million in FY2017 (-13.3%), $5.15 million in FY2016 (-19.0%) and $6.37 million in FY2015.
- The five-year range for quarterly Non-Current Deffered Revenue is $2.76 million (fiscal Q4 2018) to $6.37 million (fiscal Q4 2015).
- Year-over-year, Non-Current Deffered Revenue has increased for three consecutive quarters, with an average decline of 8.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in fiscal Q2 2019 (growth of 23.5%), and the weakest in fiscal Q4 2018 (a decline of 38.3%).
- Business Quant data shows OTLK's Non-Current Deffered Revenue at $4.12 million (Q2 2019), $4.7 million (Q1 2019) and $2.76 million (Q4 2018) in the three fiscal quarters before Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | - |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Outlook Therapeutics | 77.94 Mn | 42.19 Mn | -8,265.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 3.53 Mn |
| Mar 31, 2019 | 4.12 Mn |
| Dec 31, 2018 | 4.70 Mn |
| Sep 30, 2018 | 2.76 Mn |
| Jun 30, 2018 | 3.06 Mn |
| Mar 31, 2018 | 3.33 Mn |
| Dec 31, 2017 | 4.03 Mn |
| Sep 30, 2017 | 4.47 Mn |
| Jun 30, 2017 | 4.24 Mn |
| Mar 31, 2017 | 4.55 Mn |
| Dec 31, 2016 | 4.85 Mn |
| Sep 30, 2016 | 5.15 Mn |
| Jun 30, 2016 | 4.88 Mn |
| Mar 31, 2016 | 5.38 Mn |
| Sep 30, 2015 | 6.37 Mn |
Outlook Therapeutics 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=OTLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "ticker": "OTLK", "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=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();