Innate Pharma (IPHA) EBIT (2019 - 2026)
Innate Pharma (IPHA) posted EBIT of -$22.1 million for the quarter ended Jun 30, 2026, compared with -$28.78 million a year earlier.
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Analysis
Innate Pharma (IPHA) EBIT (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Innate Pharma was -$168.87 million; for the year ended Dec 31, 2025, it came in at -$61.02 million.
- In prior years, Innate Pharma's EBIT was -$55.82 million in the year ended Dec 31, 2024, -$13.7 million in the year ended Dec 31, 2023, -$60.52 million in the year ended Dec 31, 2022 and -$54.71 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBIT since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Innate Pharma | 159.32 Mn | 159.32 Mn | - | -22.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.10 Mn |
| Dec 31, 2025 | -60.88 Mn |
| Jun 30, 2025 | -28.78 Mn |
| Dec 31, 2024 | -57.11 Mn |
| Jun 30, 2024 | -28.34 Mn |
| Dec 31, 2023 | -10.12 Mn |
| Jun 30, 2023 | -433,391.91 |
| Dec 31, 2022 | -64.57 Mn |
| Dec 31, 2021 | -54.71 Mn |
| Jun 30, 2021 | -30.62 Mn |
| Dec 31, 2020 | -9.05 Mn |
| Jun 30, 2020 | -9.19 Mn |
| Dec 31, 2019 | -28.49 Mn |
API Access
Innate Pharma EBIT 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=ebit&ticker=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();