Inhibrx Biosciences (INBX) Net Cash Flow (2023 - 2025)
Inhibrx Biosciences (INBX) posted Net Cash Flow of -$28.87 million for Q4 2025, compared with -$43.74 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Net Cash Flow (2023 - 2025) Analysis & Trends
For FY2025, Inhibrx Biosciences' Net Cash Flow came in at -$28.38 million.
- In prior years, Inhibrx Biosciences' Net Cash Flow was -$125.33 million in FY2024 and $4.06 million in FY2023.
- Quarterly Net Cash Flow has run from a low of -$59.4 million in Q4 2023 to a high of $144.84 million in Q3 2023 over five years.
- According to Business Quant data, Net Cash Flow for the three prior quarters was -$33.48 million (Q3 2025), -$29.95 million (Q2 2025) and $63.92 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 652.90 Mn |
| 10 | Inhibrx Biosciences | 1.47 Bn | 1.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -28.87 Mn |
| Sep 30, 2025 | -33.48 Mn |
| Jun 30, 2025 | -29.95 Mn |
| Mar 31, 2025 | 63.92 Mn |
| Dec 31, 2024 | -43.74 Mn |
| Sep 30, 2024 | -30.53 Mn |
| Jun 30, 2024 | -25.62 Mn |
| Mar 31, 2024 | -25.44 Mn |
| Dec 31, 2023 | -59.40 Mn |
| Sep 30, 2023 | 144.84 Mn |
API Access
Inhibrx Biosciences Net Cash Flow 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-cash-flow&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();