Inhibrx Biosciences (INBX) Net Income (2023 - 2026)
Inhibrx Biosciences (INBX) recorded Net Income of -$36.65 million in Q2 2026, compared with -$28.65 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Net Income (2023 - 2026) Analysis & Trends
On a TTM basis, Inhibrx Biosciences' Net Income came in at -$133.39 million as of Jun 30, 2026; for FY2025, it came in at -$140.06 million.
- Across earlier years, Net Income came in at $1.69 billion in FY2024 and -$239.73 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Net Income since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 3.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.51 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -237.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.10 Bn |
| 10 | Inhibrx Biosciences | 1.47 Bn | 1.47 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 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=net-income&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=net-income&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();