Genenta Science S.p.A (GNTA) Net Cash Flow (2019 - 2022)
Genenta Science S.p.A's Net Cash Flow came in at $989,221 for the year ended Dec 31, 2025, up 1.3% from $976,456 a year earlier.
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Analysis
Genenta Science S.p.A (GNTA) Net Cash Flow (2019 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2019, Genenta Science S.p.A's Net Cash Flow data covers 7 years.
- The figure for the year ended Dec 31, 2025 represents the highest annual Net Cash Flow since the year ended Dec 31, 2021.
- Per Business Quant, earlier years put Net Cash Flow at $976,456 in the year ended Dec 31, 2024, -$28.08 million in the year ended Dec 31, 2023, -$7.6 million in the year ended Dec 31, 2022 and $24.91 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 652.90 Mn |
| 10 | Genenta Science S.p.A | 16.40 Mn | 16.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -7.60 Mn |
| Dec 31, 2021 | -7.97 Mn |
| Dec 31, 2020 | -7.23 Mn |
| Dec 31, 2019 | -2.76 Mn |
API Access
Genenta Science S.p.A Net Cash Flow 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=net-cash-flow&ticker=GNTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=GNTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();