ImmunityBio (IBRX) Capital Expenditures (2014 - 2026)
ImmunityBio (IBRX) posted Capital Expenditures of $3.52 million for Q2 2026, up 225.3% from $1.08 million a year earlier and up 98.0% from the prior quarter.
ImmunityBio (IBRX) Capital Expenditures (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at ImmunityBio was $6.94 million, down 2.4% year-over-year; for FY2025, it came in at $3.85 million, down 44.2% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, though with a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In prior years, ImmunityBio's Capital Expenditures was $6.89 million in FY2024 (-77.5%), $30.58 million in FY2023 (-60.9%), $78.16 million in FY2022 (+132.9%) and $33.56 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q4 2023.
- On a year-over-year basis, Capital Expenditures increased in three of the last eight quarters, with growth averaging 8.4%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2021, with growth of 293.0%; the weakest was Q2 2024, with a decline of 91.5%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $1.78 million (Q1 2026), $903,000 (Q4 2025) and $741,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | ImmunityBio | 8.97 Bn | 7.74 Bn | 50.94 Mn | 3.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.52 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 903,000.00 |
| Sep 30, 2025 | 741,000.00 |
| Jun 30, 2025 | 1.08 Mn |
| Mar 31, 2025 | 1.12 Mn |
| Dec 31, 2024 | 2.11 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 724,000.00 |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 7.96 Mn |
| Sep 30, 2023 | 5.68 Mn |
| Jun 30, 2023 | 8.53 Mn |
| Mar 31, 2023 | 8.43 Mn |
| Dec 31, 2022 | 18.93 Mn |
| Sep 30, 2022 | 15.94 Mn |
| Jun 30, 2022 | 15.95 Mn |
| Mar 31, 2022 | 27.35 Mn |
| Dec 31, 2021 | 10.40 Mn |
| Sep 30, 2021 | 8.03 Mn |
ImmunityBio Capital Expenditures 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=capital-expenditures&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();