Protagenic Therapeutics, Inc.\new (PTIX) Capital Expenditures (2013 - 2023)
Protagenic Therapeutics, Inc.\new (PTIX) posted Capital Expenditures of $3,297 for FY2026 (year ended Mar 31, 2026).
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Analysis
Protagenic Therapeutics, Inc.\new (PTIX) Capital Expenditures (2013 - 2023) Analysis & Trends
Since FY2014, Protagenic Therapeutics, Inc.\new has reported Capital Expenditures for 5 fiscal years.
- Annual Capital Expenditures shows a four-year compound annual growth rate of 16.3% (FY2022 to FY2026).
- The FY2026 figure stands as the highest annual Capital Expenditures since FY2023.
- Business Quant data shows PTIX's Capital Expenditures at $149,775 in FY2023 and $1,805 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Protagenic Therapeutics, Inc.\new | 1.36 Mn | 1.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 93,969.00 |
| Dec 31, 2015 | 791.00 |
| Mar 31, 2015 | 1,000.00 |
| Sep 30, 2013 | 1,000.00 |
API Access
Protagenic Therapeutics, Inc.\new 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=PTIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "PTIX", "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=PTIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();