Decoy Therapeutics (DCOY) Capital Expenditures (2015 - 2017)
Decoy Therapeutics (DCOY) recorded Capital Expenditures of $577,000 in FY2025.
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Analysis
Decoy Therapeutics (DCOY) Capital Expenditures (2015 - 2017) Analysis & Trends
Starting with FY2014, Decoy Therapeutics' Capital Expenditures history includes 6 years.
- Annual Capital Expenditures has a five-year compound annual growth rate of 194.6% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Capital Expenditures in data going back to FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Decoy Therapeutics | 1.13 Mn | 1.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 15,398.00 |
| Sep 30, 2017 | 44,359.00 |
| Jun 30, 2017 | 31,591.00 |
| Mar 31, 2017 | 22,150.00 |
| Dec 31, 2016 | 50,391.00 |
| Sep 30, 2016 | 218,785.00 |
| Jun 30, 2016 | 182,916.00 |
| Mar 31, 2016 | 107,286.00 |
| Dec 31, 2015 | 42,352.00 |
| Sep 30, 2015 | 147,703.00 |
| Jun 30, 2015 | 49,167.00 |
| Mar 31, 2015 | 26,395.00 |
API Access
Decoy Therapeutics Capital Expenditures 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=capital-expenditures&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();