ImmunityBio (IBRX) Total Current Liabilities (2014 - 2026)
ImmunityBio (IBRX) reported Total Current Liabilities of $76.73 million for Q2 2026, up 51.5% from $50.64 million a year earlier and up 12.9% from the prior quarter.
ImmunityBio (IBRX) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, ImmunityBio posted Total Current Liabilities of $61.75 million, up 12.4% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $54.94 million in FY2024 (-5.7%), $58.28 million in FY2023 (-88.4%), $500.86 million in FY2022 (+35.7%) and $369 million in FY2021 (+441.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q3 2023.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 3.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2021 (growth of 441.6%); the low point was Q1 2024 (a decline of 90.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.95 million (Q1 2026), $61.75 million (Q4 2025) and $57.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | ImmunityBio | 7.48 Bn | 6.24 Bn | 50.94 Mn | 76.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.73 Mn |
| Mar 31, 2026 | 67.95 Mn |
| Dec 31, 2025 | 61.75 Mn |
| Sep 30, 2025 | 57.13 Mn |
| Jun 30, 2025 | 50.64 Mn |
| Mar 31, 2025 | 49.21 Mn |
| Dec 31, 2024 | 54.94 Mn |
| Sep 30, 2024 | 60.96 Mn |
| Jun 30, 2024 | 62.11 Mn |
| Mar 31, 2024 | 53.76 Mn |
| Dec 31, 2023 | 58.28 Mn |
| Sep 30, 2023 | 90.32 Mn |
| Jun 30, 2023 | 613.48 Mn |
| Mar 31, 2023 | 564.95 Mn |
| Dec 31, 2022 | 500.86 Mn |
| Sep 30, 2022 | 70.84 Mn |
| Jun 30, 2022 | 376.05 Mn |
| Mar 31, 2022 | 381.01 Mn |
| Dec 31, 2021 | 369.00 Mn |
| Sep 30, 2021 | 65.41 Mn |
ImmunityBio Total 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-current-liabilities&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();