Decoy Therapeutics (DCOY) Gross Profit (2016 - 2019)
Decoy Therapeutics' Gross Profit came in at $859,630 for Q2 2019, compared with $65,557 a year earlier and up 41.3% from the prior quarter.
Decoy Therapeutics (DCOY) Gross Profit (2016 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Decoy Therapeutics reported Gross Profit of $1.93 million, up 236.5% year-over-year; for FY2018, it came in at $1.52 million, up 98.0% from FY2017.
- Going back by year, Gross Profit was $767,969 in FY2017 (+120.7%) and $347,916 in FY2016.
- The Q2 2019 figure represents the highest quarterly Gross Profit in data going back to Q1 2016.
- Year-over-year, Gross Profit increased in two of the last seven quarters, with growth averaging 56.7%.
- Business Quant data shows DCOY's Gross Profit at $608,306 (Q1 2019), $88,133 (Q4 2018) and $377,114 (Q3 2018) in the three quarters before Q2 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn |
| 10 | Decoy Therapeutics | 526,648.33 | -31.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 859,630.00 |
| Mar 31, 2019 | 608,306.00 |
| Dec 31, 2018 | 88,133.00 |
| Sep 30, 2018 | 377,114.00 |
| Jun 30, 2018 | 65,557.00 |
| Mar 31, 2018 | 94,648.00 |
| Dec 31, 2017 | 149,485.00 |
| Sep 30, 2017 | 264,845.00 |
| Jun 30, 2017 | 190,198.00 |
| Mar 31, 2017 | 163,441.00 |
| Dec 31, 2016 | 165,198.00 |
| Sep 30, 2016 | 377,984.00 |
| Jun 30, 2016 | 1,754.00 |
| Mar 31, 2016 | -197,020.00 |
Decoy Therapeutics Gross Profit 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=gross-profit&ticker=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();