ImmunityBio (IBRX) Total Liabilities (2014 - 2026)
ImmunityBio's Total Liabilities came in at $1.68 billion for Q2 2026, up 72.4% from $971.9 million a year earlier and up 10.5% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, ImmunityBio's Total Liabilities was $1 billion, up 15.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $871.06 million in FY2024 (-20.1%), $1.09 billion in FY2023 (+34.3%), $812.18 million in FY2022 (+13.9%) and $712.82 million in FY2021 (+109.7%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2014.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 109.7%), and the weakest in Q4 2024 (a decline of 20.1%).
- Business Quant data shows IBRX's Total Liabilities at $1.52 billion (Q1 2026), $1 billion (Q4 2025) and $1.04 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | ImmunityBio | 7.48 Bn | 6.24 Bn | 50.94 Mn | 1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Bn |
| Mar 31, 2026 | 1.52 Bn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 971.90 Mn |
| Mar 31, 2025 | 894.24 Mn |
| Dec 31, 2024 | 871.06 Mn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.14 Bn |
| Mar 31, 2024 | 1.09 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 843.06 Mn |
| Jun 30, 2023 | 936.41 Mn |
| Mar 31, 2023 | 875.12 Mn |
| Dec 31, 2022 | 812.18 Mn |
| Sep 30, 2022 | 782.02 Mn |
| Jun 30, 2022 | 739.69 Mn |
| Mar 31, 2022 | 727.14 Mn |
| Dec 31, 2021 | 712.82 Mn |
| Sep 30, 2021 | 404.37 Mn |
API Access
ImmunityBio 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=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IBRX", "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=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();