Inhibrx Biosciences (INBX) Change in Accured Expenses (2023 - 2025)
Inhibrx Biosciences (INBX) posted Change in Accured Expenses of -$1.43 million for Q4 2025.
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Analysis
Inhibrx Biosciences (INBX) Change in Accured Expenses (2023 - 2025) Analysis & Trends
For FY2025, Inhibrx Biosciences' Change in Accured Expenses came in at -$4.36 million.
- In prior years, Inhibrx Biosciences' Change in Accured Expenses was $35.88 million in FY2024 (+37.6%) and $26.07 million in FY2023.
- Quarterly Change in Accured Expenses has run from a low of -$4.3 million in Q2 2025 to a high of $21.82 million in Q2 2024 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.52 million (Q3 2025), -$4.3 million (Q2 2025) and $2.88 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Inhibrx Biosciences | 1.43 Bn | 1.43 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.43 Mn |
| Sep 30, 2025 | -1.52 Mn |
| Jun 30, 2025 | -4.30 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Sep 30, 2024 | 6.03 Mn |
| Jun 30, 2024 | 21.82 Mn |
| Mar 31, 2024 | 8.03 Mn |
| Dec 31, 2023 | 17.39 Mn |
| Sep 30, 2023 | 6.35 Mn |
API Access
Inhibrx Biosciences Change in Accured 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=change-in-accured-expenses&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();