Decoy Therapeutics (DCOY) Total Non-Current Liabilities (2014 - 2019)
Decoy Therapeutics (DCOY) recorded Total Non-Current Liabilities of $3 million in Q4 2019, down 62.0% from $7.88 million a year earlier and down 29.1% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Total Non-Current Liabilities (2014 - 2019) Analysis & Trends
Starting with Q4 2014, Decoy Therapeutics' Total Non-Current Liabilities history includes 19 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -41.1% (FY2014 to FY2019).
- Across earlier years, Total Non-Current Liabilities came in at $7.88 million in FY2018 (-79.2%), $37.85 million in FY2017 (+873.3%), $3.89 million in FY2016 (+35.9%) and $2.86 million in FY2015 (-93.2%).
- The Q4 2019 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last six quarters, with growth averaging 178.8%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 873.3% in Q4 2017, against a decline of 93.2% in Q4 2015 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Decoy Therapeutics | 571,865.63 | -31.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 3.00 Mn |
| Sep 30, 2019 | 4.22 Mn |
| Dec 31, 2018 | 7.88 Mn |
| Sep 30, 2018 | 15.43 Mn |
| Jun 30, 2018 | 18.39 Mn |
| Mar 31, 2018 | 29.32 Mn |
| Dec 31, 2017 | 37.85 Mn |
| Sep 30, 2017 | 4.97 Mn |
| Jun 30, 2017 | 5.03 Mn |
| Mar 31, 2017 | 3.22 Mn |
| Dec 31, 2016 | 3.89 Mn |
| Sep 30, 2016 | 3.91 Mn |
| Jun 30, 2016 | 3.40 Mn |
| Mar 31, 2016 | 3.04 Mn |
| Dec 31, 2015 | 2.85 Mn |
| Sep 30, 2015 | 2.32 Mn |
| Jun 30, 2015 | 2.11 Mn |
| Mar 31, 2015 | 1.42 Mn |
| Dec 31, 2014 | 42.10 Mn |
API Access
Decoy Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();