Innate Pharma (IPHA) Capital Expenditures (2019 - 2025)
Innate Pharma's Capital Expenditures came in at -$162,966 for the quarter ended Dec 31, 2025, compared with -$417,821 a year earlier.
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Analysis
Innate Pharma (IPHA) Capital Expenditures (2019 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Innate Pharma's Capital Expenditures was -$158,174.
- Going back by year, Capital Expenditures was -$423,194 in the year ended Dec 31, 2024, -$379,683 in the year ended Dec 31, 2023, -$563,866 in the year ended Dec 31, 2022 and -$1.06 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Capital Expenditures in data going back to the quarter ended Jun 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Innate Pharma | 159.32 Mn | 159.32 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -162,966.09 |
| Dec 31, 2024 | -417,820.80 |
| Jun 30, 2024 | -304,759.18 |
| Dec 31, 2023 | -377,654.91 |
| Jun 30, 2023 | -336,477.64 |
| Dec 31, 2022 | -545,832.34 |
| Jun 30, 2022 | -448,163.81 |
| Dec 31, 2021 | -1.06 Mn |
| Jun 30, 2021 | -289,025.14 |
| Dec 31, 2020 | -1.08 Mn |
| Jun 30, 2020 | -599,194.31 |
| Dec 31, 2019 | -1.41 Mn |
| Jun 30, 2019 | -829,245.65 |
API Access
Innate Pharma 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=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "IPHA", "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=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();