ImmunityBio (IBRX) Shares Outstanding (Diluted) (2019 - 2026)
ImmunityBio's Shares Outstanding (Diluted) was 1.05 billion in Q2 2026, up 18.2% from 888.22 million a year earlier and up 2.3% from the prior quarter.
ImmunityBio (IBRX) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at ImmunityBio came in at 919.86 million, up 31.3% from FY2024.
- Shares Outstanding (Diluted) has now increased for six consecutive years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 700.44 million in FY2024 (+37.7%), 508.64 million in FY2023 (+27.2%), 399.9 million in FY2022 (+2.7%) and 389.23 million in FY2021 (+3.2%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 23 straight quarters, with growth averaging 29.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 2.1% (Q3 2022) to 57.1% (Q1 2024).
- Per Business Quant data, IBRX's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 1.03 billion (Q1 2026), 919.86 million (Q4 2025) and 946.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 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 | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 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 | 255.20 Mn |
| 10 | ImmunityBio | 9.94 Bn | 8.70 Bn | 50.94 Mn | 1.05 Bn |
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 | 700.44 Mn |
| Sep 30, 2024 | 697.96 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 |
ImmunityBio Shares Outstanding (Diluted) 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-diluted&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();