PDS Biotechnology (PDSB) Capital Expenditures (2014 - 2024)
PDS Biotechnology (PDSB) recorded Capital Expenditures of $29,000 in FY2024.
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Analysis
PDS Biotechnology (PDSB) Capital Expenditures (2014 - 2024) Analysis & Trends
Starting with FY2013, PDS Biotechnology's Capital Expenditures history includes 6 years.
- The FY2024 figure is the highest annual Capital Expenditures in data going back to FY2013.
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 | PDS Biotechnology | 41.94 Mn | 41.94 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.00 |
| Dec 31, 2017 | 27,970.00 |
| Sep 30, 2017 | 55,089.00 |
| Jun 30, 2017 | 16,378.00 |
| Mar 31, 2017 | 89,284.00 |
| Dec 31, 2016 | 347,295.00 |
| Sep 30, 2016 | 144,093.00 |
| Jun 30, 2016 | 118,030.00 |
| Mar 31, 2016 | 77,287.00 |
| Dec 31, 2015 | 505,662.00 |
| Sep 30, 2015 | 352,254.00 |
| Jun 30, 2015 | 361,092.00 |
| Mar 31, 2015 | 86,078.00 |
| Dec 31, 2014 | 619,643.00 |
API Access
PDS Biotechnology 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=PDSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "PDSB", "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=PDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();