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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 5.53 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | -237.00 Mn |
| 10 | Inhibrx Biosciences | 1.43 Bn | 1.43 Bn | - | -36.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.65 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 |
API Access
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_KEYimport 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();