Innate Pharma (IPHA) Net Margin (2020 - 2025)
Innate Pharma (IPHA) posted Net Margin of -378284.62% for the quarter ended Dec 31, 2025, up 71451.75 percentage points from -449736.36% a year earlier.
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Analysis
Innate Pharma (IPHA) Net Margin (2020 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Innate Pharma's Net Margin came in at -546.11%, down 300.24 percentage points from the prior year.
- Annual Net Margin shows a five-year change of -454.40 percentage points (years ended Dec 2020 to Dec 2025).
- In prior years, Innate Pharma's Net Margin was -245.87% in the year ended Dec 31, 2024 (-233.59 pp), -12.28% in the year ended Dec 31, 2023 (+88.46 pp), -100.74% in the year ended Dec 31, 2022 (+113.03 pp) and -213.78% in the year ended Dec 31, 2021 (-122.07 pp).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Net Margin since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 32.99% |
| 10 | Innate Pharma | 149.95 Mn | 149.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -378,284.62% |
| Dec 31, 2024 | -449,736.36% |
| Dec 31, 2023 | -68,818.18% |
| Dec 31, 2022 | -98.48% |
| Dec 31, 2020 | -9,437.17% |
API Access
Innate Pharma Net Margin 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-margin&ticker=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();