ImmunityBio (IBRX) Shares Outstanding (2014 - 2026)
ImmunityBio (IBRX) recorded Shares Outstanding of 1.05 billion in Q2 2026, up 18.2% from 888.22 million a year earlier and up 2.3% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2025, ImmunityBio reported Shares Outstanding of 919.86 million, up 31.9% from FY2024.
- Annual Shares Outstanding has increased for seven straight years, with a five-year compound annual growth rate of 54.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 697.31 million in FY2024 (+37.1%), 508.64 million in FY2023 (+27.2%), 399.9 million in FY2022 (+2.7%) and 389.23 million in FY2021 (+275.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q1 2014.
- On a year-over-year basis, Shares Outstanding has increased for 30 consecutive quarters, with growth averaging 29.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 2.1% (Q3 2022) and 275.9% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at 1.03 billion (Q1 2026), 919.86 million (Q4 2025) and 946.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.70 Mn |
| 10 | ImmunityBio | 9.94 Bn | 8.70 Bn | 50.94 Mn | 1.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 919.86 Mn |
| Sep 30, 2025 | 946.60 Mn |
| Jun 30, 2025 | 888.22 Mn |
| Mar 31, 2025 | 853.16 Mn |
| Dec 31, 2024 | 697.31 Mn |
| Sep 30, 2024 | 695.90 Mn |
| Jun 30, 2024 | 686.94 Mn |
| Mar 31, 2024 | 672.83 Mn |
| Dec 31, 2023 | 508.64 Mn |
| Sep 30, 2023 | 498.38 Mn |
| Jun 30, 2023 | 437.46 Mn |
| Mar 31, 2023 | 428.38 Mn |
| Dec 31, 2022 | 399.90 Mn |
| Sep 30, 2022 | 400.06 Mn |
| Jun 30, 2022 | 397.99 Mn |
| Mar 31, 2022 | 397.88 Mn |
| Dec 31, 2021 | 389.23 Mn |
| Sep 30, 2021 | 391.85 Mn |
API Access
ImmunityBio Shares Outstanding 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=shares-outstanding&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();