Inhibrx Biosciences (INBX) Change in Receivables (2023 - 2025)
Inhibrx Biosciences (INBX) posted Change in Receivables of $46,000 for Q4 2025, down 45.9% from $85,000 a year earlier.
Analysis
Inhibrx Biosciences (INBX) Change in Receivables (2023 - 2025) Analysis & Trends
For FY2025, Inhibrx Biosciences' Change in Receivables came in at -$200,000.
- In prior years, Inhibrx Biosciences' Change in Receivables was $185,000 in FY2024 (-65.4%) and $535,000 in FY2023.
- Quarterly Change in Receivables has run from a low of -$183,000 in Q1 2025 to a high of $447,000 in Q4 2023 over five years.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$127,000 (Q3 2025), $64,000 (Q2 2025) and -$183,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 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 | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | Inhibrx Biosciences | 1.47 Bn | 1.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 46,000.00 |
| Sep 30, 2025 | -127,000.00 |
| Jun 30, 2025 | 64,000.00 |
| Mar 31, 2025 | -183,000.00 |
| Dec 31, 2024 | 85,000.00 |
| Jun 30, 2024 | 100,000.00 |
| Dec 31, 2023 | 447,000.00 |
| Sep 30, 2023 | 4,000.00 |
API Access
Inhibrx Biosciences Change in Receivables 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-receivables&ticker=INBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();