Genenta Science S.p.A (GNTA) Capital Expenditures (2020 - 2022)
Genenta Science S.p.A's Capital Expenditures was -$8,615 in the year ended Dec 31, 2025, compared with -$4,774 a year earlier.
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Analysis
Genenta Science S.p.A (GNTA) Capital Expenditures (2020 - 2022) Analysis & Trends
From the year ended Dec 31, 2020 onward, Genenta Science S.p.A has reported Capital Expenditures for 6 years.
- Annual Capital Expenditures has moved between -$27,618 (the year ended Dec 31, 2022) and -$4,774 (the year ended Dec 31, 2024) over five years.
- Per Business Quant data, Capital Expenditures in earlier years was -$4,774 in the year ended Dec 31, 2024, -$14,838 in the year ended Dec 31, 2023, -$27,618 in the year ended Dec 31, 2022 and -$10,306 in the year ended Dec 31, 2021.
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 | Genenta Science S.p.A | 16.40 Mn | 16.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -27,618.10 |
| Dec 31, 2021 | -10,306.03 |
| Dec 31, 2020 | -24,884.28 |
API Access
Genenta Science S.p.A 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=GNTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GNTA", "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=GNTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();