vTv Therapeutics (VTVT) Capital Expenditures (2014 - 2017)
vTv Therapeutics (VTVT) recorded Capital Expenditures of $21,000 in FY2022.
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Analysis
vTv Therapeutics (VTVT) Capital Expenditures (2014 - 2017) Analysis & Trends
Starting with FY2013, vTv Therapeutics' Capital Expenditures history includes 8 years.
- Annual Capital Expenditures has a five-year compound annual growth rate of -18.1% (FY2017 to FY2022).
- The FY2022 figure is the highest annual Capital Expenditures since FY2019.
- Per Business Quant data, VTVT's Capital Expenditures was $70,000 in FY2019 and $5,000 in FY2018 (-91.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | vTv Therapeutics | 382.70 Mn | 382.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 18,000.00 |
| Mar 31, 2017 | 39,000.00 |
| Dec 31, 2015 | 62,000.00 |
| Sep 30, 2015 | 9,000.00 |
| Jun 30, 2015 | 29,000.00 |
| Mar 31, 2015 | 4,000.00 |
| Dec 31, 2014 | -2,000.00 |
| Sep 30, 2014 | 9,000.00 |
API Access
vTv 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=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "VTVT", "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=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();