Inhibrx Biosciences (INBX) Receivables - Net (2023 - 2025)
Inhibrx Biosciences (INBX) reported Receivables - Net of $200,000 for Q4 2025, down 10.3% from $223,000 a year earlier but up 81.8% from the prior quarter.
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Analysis
Inhibrx Biosciences (INBX) Receivables - Net (2023 - 2025) Analysis & Trends
Dating back to Q4 2023, Inhibrx Biosciences' Receivables - Net record includes 8 quarters.
- By year, Receivables - Net came in at $223,000 in FY2024 (-71.3%) and $778,000 in FY2023.
- Five-year quarterly Receivables - Net spans a low of $110,000 in Q3 2025 and a high of $1.13 million in Q3 2024.
- Year over year, Receivables - Net has now declined in each of the last three quarters, with an average decline of 54.4% over the last four quarters.
- Per Business Quant data, the three quarters before Q4 2025 came in at $110,000 (Q3 2025), $237,000 (Q2 2025) and $214,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn |
| 10 | Inhibrx Biosciences | 1.54 Bn | 945.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 110,000.00 |
| Jun 30, 2025 | 237,000.00 |
| Mar 31, 2025 | 214,000.00 |
| Dec 31, 2024 | 223,000.00 |
| Sep 30, 2024 | 1.13 Mn |
| Jun 30, 2024 | 435,000.00 |
| Dec 31, 2023 | 778,000.00 |
API Access
Inhibrx Biosciences Receivables - Net 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=receivables-net&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();