Decoy Therapeutics (DCOY) Receivables - Net (2016 - 2022)
Decoy Therapeutics' Receivables - Net came in at $1.6 million for Q3 2022, down 23.8% from $2.1 million a year earlier and unchanged from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Receivables - Net (2016 - 2022) Analysis & Trends
Going back to Q2 2016, Decoy Therapeutics' Receivables - Net data covers 24 quarters.
- Receivables - Net carries a five-year compound annual growth rate of 165.3% (FY2016 to FY2021).
- Going back by year, Receivables - Net was $3.9 million in FY2020, $9,939 in FY2018 (-4.3%) and $10,385 in FY2017 (-14.7%).
- The five-year range for quarterly Receivables - Net is $9,069 (Q1 2019) to $4.8 million (Q2 2021).
- Year-over-year, Receivables - Net has declined for five consecutive quarters, with growth averaging 75.7% over the last seven quarters.
- The fastest year-over-year change in Receivables - Net over five years came in Q1 2021 (growth of 614.5%), and the weakest in Q2 2022 (a decline of 66.7%).
- Business Quant data shows DCOY's Receivables - Net at $1.6 million (Q2 2022), $1.6 million (Q1 2022) and $1.6 million (Q4 2021) in the three quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Decoy Therapeutics | 1.23 Mn | 1.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 1.60 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 2.10 Mn |
| Jun 30, 2021 | 4.80 Mn |
| Mar 31, 2021 | 4.22 Mn |
| Dec 31, 2020 | 3.90 Mn |
| Sep 30, 2020 | 3.21 Mn |
| Jun 30, 2020 | 1.83 Mn |
| Mar 31, 2020 | 591,129.00 |
| Jun 30, 2019 | 28,278.00 |
| Mar 31, 2019 | 9,069.00 |
| Dec 31, 2018 | 9,939.00 |
| Sep 30, 2018 | 20,993.00 |
| Jun 30, 2018 | 17,329.00 |
| Mar 31, 2018 | 12,631.00 |
| Dec 31, 2017 | 10,385.00 |
| Sep 30, 2017 | 35,134.00 |
| Jun 30, 2017 | 34,735.00 |
API Access
Decoy Therapeutics Receivables - Net 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=receivables-net&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();