Inhibrx Biosciences (INBX) Change in Cash (2023 - 2025)
Inhibrx Biosciences' Change in Cash was -$28.87 million in Q4 2025, compared with -$43.74 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Change in Cash (2023 - 2025) Analysis & Trends
For FY2025, Change in Cash at Inhibrx Biosciences came in at -$28.38 million.
- In earlier years, Change in Cash was -$125.33 million in FY2024 and $4.06 million in FY2023.
- Quarterly Change in Cash has moved between -$59.4 million (Q4 2023) and $144.84 million (Q3 2023) over five years.
- Per Business Quant data, INBX's Change in Cash in the three quarters before Q4 2025 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) | Change in Cash (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 | 1.49 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 739.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -2.64 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 | -4.45 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -727.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 649.20 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 Change in Cash 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-cash&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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-cash&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();