Decoy Therapeutics (DCOY) Change in Inventory (2016 - 2019)
Decoy Therapeutics (DCOY) reported Change in Inventory of -$1,169 for FY2019.
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Analysis
Decoy Therapeutics (DCOY) Change in Inventory (2016 - 2019) Analysis & Trends
- The FY2019 figure ranks as the highest annual Change in Inventory since FY2016.
- According to Business Quant data, Change in Inventory came in at -$22,241 in FY2017 and $454,132 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Decoy Therapeutics | 1.13 Mn | 1.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 54,831.00 |
| Jun 30, 2019 | -33,677.00 |
| Mar 31, 2019 | -22,323.00 |
| Sep 30, 2018 | 139,206.00 |
| Jun 30, 2018 | -142,503.00 |
| Mar 31, 2018 | 3,297.00 |
| Dec 31, 2017 | -102,105.00 |
| Sep 30, 2017 | 286,927.00 |
| Jun 30, 2017 | -167,253.00 |
| Mar 31, 2017 | -39,810.00 |
| Dec 31, 2016 | 344,431.00 |
| Sep 30, 2016 | -164,601.00 |
| Jun 30, 2016 | 161,733.00 |
| Mar 31, 2016 | 112,569.00 |
API Access
Decoy Therapeutics Change in Inventory 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-inventory&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();