Decoy Therapeutics (DCOY) Change in Receivables (2016 - 2020)
Decoy Therapeutics' Change in Receivables came in at -$1.83 million for Q3 2020, compared with -$690.00 a year earlier.
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Analysis
Decoy Therapeutics (DCOY) Change in Receivables (2016 - 2020) Analysis & Trends
For FY2019, Decoy Therapeutics' Change in Receivables was -$690.00.
- Going back by year, Change in Receivables was -$1,796 in FY2017 and $12,181 in FY2016.
- The Q3 2020 figure represents the lowest quarterly Change in Receivables in data going back to Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.35 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.37 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.09 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 333.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Decoy Therapeutics | 571,865.63 | -31.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -1.83 Mn |
| Jun 30, 2020 | 1.24 Mn |
| Mar 31, 2020 | 591,129.00 |
| Sep 30, 2019 | -690.00 |
| Sep 30, 2018 | -184.00 |
| Jun 30, 2018 | 4,698.00 |
| Mar 31, 2018 | -4,514.00 |
| Dec 31, 2017 | -24,749.00 |
| Sep 30, 2017 | 399.00 |
| Jun 30, 2017 | 15,673.00 |
| Mar 31, 2017 | 6,881.00 |
| Dec 31, 2016 | -9,606.00 |
| Sep 30, 2016 | 10,192.00 |
| Jun 30, 2016 | 11,595.00 |
API Access
Decoy Therapeutics Change in Receivables 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=change-in-receivables&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();