Innate Pharma (IPHA) Operating Expenses (2019)
Innate Pharma (IPHA) recorded Operating Expenses of -$28.68 million in the quarter ended Jun 30, 2026, compared with -$34.28 million a year earlier.
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Analysis
Innate Pharma (IPHA) Operating Expenses (2019) Analysis & Trends
On a TTM basis, Innate Pharma's Operating Expenses came in at -$212.93 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$71.19 million.
- Across earlier years, Operating Expenses came in at -$77.6 million in the year ended Dec 31, 2024, -$80.38 million in the year ended Dec 31, 2023, -$121.31 million in the year ended Dec 31, 2022 and -$82.97 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Expenses in data going back to the quarter ended Jun 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Innate Pharma | 142.45 Mn | -64.74 Mn | - | - |
API Access
Innate Pharma 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=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();