Inhibrx Biosciences (INBX) EBIT (2023 - 2026)
Inhibrx Biosciences (INBX) recorded EBIT of -$32.15 million in Q2 2026, compared with -$27.39 million a year earlier.
Inhibrx Biosciences (INBX) EBIT (2023 - 2026) Analysis & Trends
On a TTM basis, Inhibrx Biosciences' EBIT came in at -$124.27 million as of Jun 30, 2026; for FY2025, it came in at -$135.03 million.
- Across earlier years, EBIT came in at -$331.45 million in FY2024 and -$219.22 million in FY2023.
- Quarterly EBIT has ranged from -$160.9 million in Q2 2024 to -$27.39 million in Q2 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Inhibrx Biosciences | 1.50 Bn | 1.50 Bn | - | -32.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.15 Mn |
| Dec 31, 2025 | -30.92 Mn |
| Sep 30, 2025 | -33.81 Mn |
| Jun 30, 2025 | -27.39 Mn |
| Mar 31, 2025 | -42.90 Mn |
| Dec 31, 2024 | -49.93 Mn |
| Sep 30, 2024 | -46.80 Mn |
| Jun 30, 2024 | -160.90 Mn |
| Mar 31, 2024 | -73.83 Mn |
| Dec 31, 2023 | -88.29 Mn |
| Sep 30, 2023 | -45.83 Mn |
| Jun 30, 2023 | -41.34 Mn |
Inhibrx Biosciences EBIT 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=ebit&ticker=INBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();