Inhibrx Biosciences (INBX) Total Liabilities (2023 - 2026)
Inhibrx Biosciences (INBX) posted Total Liabilities of $207.2 million for Q2 2026, up 44.3% from $143.56 million a year earlier.
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Analysis
Inhibrx Biosciences (INBX) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Inhibrx Biosciences' Total Liabilities came in at $138.49 million, up 193.5% from FY2024.
- In prior years, Inhibrx Biosciences' Total Liabilities was $47.18 million in FY2024 (-82.2%) and $264.39 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities increased in four of the last five quarters, with growth averaging 128.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Inhibrx Biosciences | 1.50 Bn | 1.50 Bn | - | 207.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.20 Mn |
| Dec 31, 2025 | 138.49 Mn |
| Sep 30, 2025 | 140.64 Mn |
| Jun 30, 2025 | 143.56 Mn |
| Mar 31, 2025 | 148.20 Mn |
| Dec 31, 2024 | 47.18 Mn |
| Sep 30, 2024 | 44.10 Mn |
| Jun 30, 2024 | 39.05 Mn |
| Dec 31, 2023 | 264.39 Mn |
API Access
Inhibrx Biosciences Total Liabilities 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=total-liabilities&ticker=INBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();