ImmunityBio (IBRX) Cash & Equivalents (2014 - 2026)
ImmunityBio's Cash & Equivalents came in at $75.67 million for Q2 2026, down 45.0% from $137.66 million a year earlier and down 63.1% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, ImmunityBio's Cash & Equivalents was $88.33 million, down 38.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $143.43 million in FY2024 (-46.0%), $265.45 million in FY2023 (+153.7%), $104.64 million in FY2022 (-42.2%) and $181.1 million in FY2021 (+418.7%).
- The five-year range for quarterly Cash & Equivalents is $36.39 million (Q1 2022) to $265.45 million (Q4 2023).
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 418.7%), and the weakest in Q1 2025 (a decline of 54.4%).
- Business Quant data shows IBRX's Cash & Equivalents at $205.19 million (Q1 2026), $88.33 million (Q4 2025) and $60.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | ImmunityBio | 9.94 Bn | 8.70 Bn | 50.94 Mn | 75.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.67 Mn |
| Mar 31, 2026 | 205.19 Mn |
| Dec 31, 2025 | 88.33 Mn |
| Sep 30, 2025 | 60.24 Mn |
| Jun 30, 2025 | 137.66 Mn |
| Mar 31, 2025 | 60.66 Mn |
| Dec 31, 2024 | 143.43 Mn |
| Sep 30, 2024 | 111.97 Mn |
| Jun 30, 2024 | 130.10 Mn |
| Mar 31, 2024 | 133.04 Mn |
| Dec 31, 2023 | 265.45 Mn |
| Sep 30, 2023 | 177.96 Mn |
| Jun 30, 2023 | 43.51 Mn |
| Mar 31, 2023 | 88.48 Mn |
| Dec 31, 2022 | 104.64 Mn |
| Sep 30, 2022 | 104.16 Mn |
| Jun 30, 2022 | 61.90 Mn |
| Mar 31, 2022 | 36.39 Mn |
| Dec 31, 2021 | 181.10 Mn |
| Sep 30, 2021 | 64.52 Mn |
API Access
ImmunityBio Cash & Equivalents 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=cash-and-equivalents&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();