Innate Pharma (IPHA) Research & Development (2019)
Innate Pharma's Research & Development was -$19.62 million in the quarter ended Jun 30, 2026, compared with -$23.23 million a year earlier.
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Analysis
Innate Pharma (IPHA) Research & Development (2019) Analysis & Trends
On a trailing twelve-month basis, Innate Pharma's Research & Development was -$149.17 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$49.28 million.
- In earlier years, Research & Development was -$56.26 million in the year ended Dec 31, 2024, -$60.6 million in the year ended Dec 31, 2023, -$54.45 million in the year ended Dec 31, 2022 and -$53.77 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Research & Development in data going back to the quarter ended Jun 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Innate Pharma | 142.45 Mn | -64.75 Mn | - | - |
API Access
Innate Pharma Research & Development 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=research-and-development&ticker=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();