Inhibrx Biosciences (INBX) Consolidated Net Income (2023 - 2026)
Inhibrx Biosciences (INBX) posted Consolidated Net Income of -$36.65 million for Q2 2026, compared with -$28.65 million a year earlier.
Inhibrx Biosciences (INBX) Consolidated Net Income (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Inhibrx Biosciences was -$133.39 million; for FY2025, it was -$140.06 million.
- In prior years, Inhibrx Biosciences' Consolidated Net Income was $1.69 billion in FY2024 and -$239.73 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Consolidated Net Income since Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 6.45 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 210.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.22 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 5.07 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.12 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 3.86 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 2.43 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.25 Bn |
| 10 | Inhibrx Biosciences | 1.33 Bn | 760.41 Mn | - | -36.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.65 Mn |
| Mar 31, 2026 | -33.44 Mn |
| Dec 31, 2025 | -32.83 Mn |
| Sep 30, 2025 | -35.26 Mn |
| Jun 30, 2025 | -28.65 Mn |
| Mar 31, 2025 | -43.31 Mn |
| Dec 31, 2024 | -47.87 Mn |
| Sep 30, 2024 | -43.86 Mn |
| Jun 30, 2024 | 1.86 Bn |
| Mar 31, 2024 | -78.71 Mn |
| Dec 31, 2023 | -91.97 Mn |
| Sep 30, 2023 | -51.79 Mn |
| Jun 30, 2023 | -47.05 Mn |
Inhibrx Biosciences Consolidated Net Income 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=consolidated-net-income&ticker=INBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();