Innate Pharma (IPHA) Selling, General & Administrative (2019)
Innate Pharma (IPHA) posted Selling, General & Administrative of -$9.06 million for the quarter ended Jun 30, 2026, compared with -$11.06 million a year earlier.
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Analysis
Innate Pharma (IPHA) Selling, General & Administrative (2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Innate Pharma was -$63.76 million; for the year ended Dec 31, 2025, it came in at -$21.91 million.
- In prior years, Innate Pharma's Selling, General & Administrative was -$21.34 million in the year ended Dec 31, 2024, -$19.78 million in the year ended Dec 31, 2023, -$23.65 million in the year ended Dec 31, 2022 and -$29.2 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Selling, General & Administrative in data going back to the quarter ended Jun 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Innate Pharma | 142.45 Mn | -64.74 Mn | - | - |
API Access
Innate Pharma Selling, General & Administrative 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=selling-general-and-administrative&ticker=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();