Genenta Science S.p.A (GNTA) Free Cash Flow (2019 - 2022)
Genenta Science S.p.A (GNTA) recorded Free Cash Flow of -$7.75 million in the year ended Dec 31, 2025, compared with -$6.66 million a year earlier.
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Analysis
Genenta Science S.p.A (GNTA) Free Cash Flow (2019 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2019, Genenta Science S.p.A's Free Cash Flow history includes 7 years.
- Annual Free Cash Flow has ranged from -$12.04 million in the year ended Dec 31, 2023 to -$6.66 million in the year ended Dec 31, 2024 over the past five years.
- Per Business Quant data, GNTA's Free Cash Flow was -$6.66 million in the year ended Dec 31, 2024, -$12.04 million in the year ended Dec 31, 2023, -$7.54 million in the year ended Dec 31, 2022 and -$7.95 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 7.30 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.11 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 4.48 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 6.20 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 5.34 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 3.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.43 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 302.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.01 Bn |
| 10 | Genenta Science S.p.A | 16.40 Mn | 16.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -7.54 Mn |
| Dec 31, 2021 | -7.95 Mn |
| Dec 31, 2020 | -7.18 Mn |
| Dec 31, 2019 | -2.76 Mn |
API Access
Genenta Science S.p.A Free 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=free-cash-flow&ticker=GNTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-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=free-cash-flow&ticker=GNTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();