Genenta Science S.p.A (GNTA) Operating Expenses (2019 - 2020)
Genenta Science S.p.A's Operating Expenses was $7.46 million in the year ended Dec 31, 2025, down 28.5% from $10.43 million a year earlier.
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Analysis
Genenta Science S.p.A (GNTA) Operating Expenses (2019 - 2020) Analysis & Trends
From the year ended Dec 31, 2019 onward, Genenta Science S.p.A has reported Operating Expenses for 7 years.
- Operating Expenses shows a five-year compound annual growth rate of 2.3% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the lowest annual Operating Expenses since the year ended Dec 31, 2021.
- Per Business Quant data, Operating Expenses in earlier years was $10.43 million in the year ended Dec 31, 2024 (-17.3%), $12.62 million in the year ended Dec 31, 2023 (+12.0%), $11.27 million in the year ended Dec 31, 2022 (+73.2%) and $6.51 million in the year ended Dec 31, 2021 (-2.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Genenta Science S.p.A | 16.40 Mn | 16.40 Mn | - | - |
API Access
Genenta Science S.p.A Operating Expenses 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=operating-expenses&ticker=GNTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GNTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();