ImmunityBio (IBRX) Total Non-Current Liabilities (2014 - 2026)
ImmunityBio (IBRX) posted Total Non-Current Liabilities of $1.32 billion for Q2 2026, up 46.2% from $904.94 million a year earlier and up 9.5% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, ImmunityBio's Total Non-Current Liabilities came in at $917.95 million, up 8.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- In prior years, ImmunityBio's Total Non-Current Liabilities was $844.94 million in FY2024 (-13.0%), $971.62 million in FY2023 (+22.9%), $790.54 million in FY2022 (+11.0%) and $712.41 million in FY2021 (+110.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 110.3%; the weakest was Q2 2025, with a decline of 15.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.21 billion (Q1 2026), $917.95 million (Q4 2025) and $928.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | ImmunityBio | 9.07 Bn | 7.83 Bn | 50.94 Mn | 1.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 897.80 Mn |
| Sep 30, 2025 | 909.12 Mn |
| Jun 30, 2025 | 885.62 Mn |
| Mar 31, 2025 | 864.31 Mn |
| Dec 31, 2024 | 836.05 Mn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 942.46 Mn |
| Dec 31, 2023 | 935.18 Mn |
| Sep 30, 2023 | 803.23 Mn |
| Jun 30, 2023 | 908.14 Mn |
| Mar 31, 2023 | 856.87 Mn |
| Dec 31, 2022 | 790.08 Mn |
| Sep 30, 2022 | 781.46 Mn |
| Jun 30, 2022 | 739.40 Mn |
| Mar 31, 2022 | 726.86 Mn |
| Dec 31, 2021 | 712.41 Mn |
| Sep 30, 2021 | 403.46 Mn |
API Access
ImmunityBio Total Non-Current 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-non-current-liabilities&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();