Innate Pharma (IPHA) Interest Expenses (2019)
Innate Pharma's Interest Expenses came in at -$1.62 million for the quarter ended Jun 30, 2026, compared with -$3.17 million a year earlier.
Innate Pharma (IPHA) Interest Expenses (2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innate Pharma reported Interest Expenses of -$12.67 million; for the year ended Dec 31, 2025, it came in at -$3.53 million.
- Going back by year, Interest Expenses was -$4.3 million in the year ended Dec 31, 2024, -$1.98 million in the year ended Dec 31, 2023, -$5.61 million in the year ended Dec 31, 2022 and -$4.57 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Interest Expenses since the quarter ended Jun 30, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,160.65 Bn | 1,129.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 633.19 Bn | 551.72 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 501.90 Bn | 475.01 Bn | 12.70 Bn | - |
| 4 | Merck | 377.07 Bn | 331.45 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.35 Bn | 266.34 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 240.68 Bn | 196.07 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 193.20 Bn | 167.40 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | - |
| 10 | Innate Pharma | 136.18 Mn | -71.02 Mn | - | - |
Innate Pharma Interest 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=interest-expenses&ticker=IPHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();