Decoy Therapeutics (DCOY) Cost of Revenue (2016 - 2019)
Decoy Therapeutics' Cost of Revenue came in at $36,148 for Q2 2019, down 79.9% from $179,945 a year earlier and down 23.6% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Cost of Revenue (2016 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Decoy Therapeutics reported Cost of Revenue of $250,348, down 54.1% year-over-year; for FY2018, it was $430,750, down 15.0% from FY2017.
- Going back by year, Cost of Revenue was $506,530 in FY2017 (-23.6%) and $662,747 in FY2016.
- The Q2 2019 figure represents the lowest quarterly Cost of Revenue in data going back to Q1 2016.
- Year-over-year, Cost of Revenue has declined for four consecutive quarters, with an average decline of 26.1% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2017 (growth of 31.0%), and the weakest in Q2 2019 (a decline of 79.9%).
- Business Quant data shows DCOY's Cost of Revenue at $47,329 (Q1 2019), $74,934 (Q4 2018) and $91,937 (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Decoy Therapeutics | 516,008.98 | -31.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 36,148.00 |
| Mar 31, 2019 | 47,329.00 |
| Dec 31, 2018 | 74,934.00 |
| Sep 30, 2018 | 91,937.00 |
| Jun 30, 2018 | 179,945.00 |
| Mar 31, 2018 | 83,934.00 |
| Dec 31, 2017 | 133,343.00 |
| Sep 30, 2017 | 148,756.00 |
| Jun 30, 2017 | 145,325.00 |
| Mar 31, 2017 | 79,106.00 |
| Dec 31, 2016 | 133,706.00 |
| Sep 30, 2016 | 221,090.00 |
| Jun 30, 2016 | 110,931.00 |
| Mar 31, 2016 | 197,020.00 |
API Access
Decoy Therapeutics Cost of 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=cost-of-revenue&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "DCOY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();