Inhibrx Biosciences (INBX) Accumulated Expenses (2023 - 2026)
Inhibrx Biosciences (INBX) recorded Accumulated Expenses of $15.77 million in Q2 2026, down 44.6% from $28.48 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Inhibrx Biosciences reported Accumulated Expenses of $25.53 million, down 14.6% from FY2024.
- Across earlier years, Accumulated Expenses came in at $29.89 million in FY2024 (-31.0%) and $43.3 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last five quarters, with an average decline of 16.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.77 Mn |
| Dec 31, 2025 | 25.53 Mn |
| Sep 30, 2025 | 26.96 Mn |
| Jun 30, 2025 | 28.48 Mn |
| Mar 31, 2025 | 32.77 Mn |
| Dec 31, 2024 | 29.89 Mn |
| Sep 30, 2024 | 29.89 Mn |
| Jun 30, 2024 | 23.86 Mn |
| Dec 31, 2023 | 43.30 Mn |
API Access
Inhibrx Biosciences Accumulated 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=accumulated-expenses&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();