Inhibrx Biosciences (INBX) Interest Expenses (2023 - 2026)
Inhibrx Biosciences (INBX) recorded Interest Expenses of $5.69 million in Q2 2026, up 81.2% from $3.14 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Interest Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Inhibrx Biosciences' Interest Expenses came in at $15.2 million as of Jun 30, 2026, up 160.7% year-over-year; for FY2025, it was $12.2 million, down 9.6% from FY2024.
- Across earlier years, Interest Expenses came in at $13.49 million in FY2024 (-57.6%) and $31.84 million in FY2023.
- The Q2 2026 figure is the highest quarterly Interest Expenses since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Inhibrx Biosciences | 1.47 Bn | 1.47 Bn | - | 5.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.69 Mn |
| Dec 31, 2025 | 3.19 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 3.14 Mn |
| Mar 31, 2025 | 2.69 Mn |
| Jun 30, 2024 | 5.36 Mn |
| Mar 31, 2024 | 8.13 Mn |
| Dec 31, 2023 | 8.22 Mn |
| Sep 30, 2023 | 8.15 Mn |
| Jun 30, 2023 | 7.91 Mn |
API Access
Inhibrx Biosciences 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=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "INBX", "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=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();