ImmunityBio (IBRX) EPS (Diluted) (2019 - 2026)
ImmunityBio (IBRX) recorded EPS (Diluted) of -$0.22 in Q2 2026, compared with -$0.10 a year earlier.
Analysis
ImmunityBio (IBRX) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a TTM basis, ImmunityBio's EPS (Diluted) came in at -$0.95 as of Jun 30, 2026; for FY2025, it was -$0.38.
- Across earlier years, EPS (Diluted) came in at -$0.59 in FY2024, -$1.15 in FY2023, -$1.04 in FY2022 and -$0.89 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$0.62 in Q1 2026 to -$0.07 in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.62 (Q1 2026), -$0.07 (Q4 2025) and -$0.07 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.31 |
| 10 | ImmunityBio | 8.97 Bn | 7.74 Bn | 50.94 Mn | -0.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.22 |
| Mar 31, 2026 | -0.62 |
| Dec 31, 2025 | -0.07 |
| Sep 30, 2025 | -0.07 |
| Jun 30, 2025 | -0.10 |
| Mar 31, 2025 | -0.15 |
| Dec 31, 2024 | -0.08 |
| Sep 30, 2024 | -0.12 |
| Jun 30, 2024 | -0.20 |
| Mar 31, 2024 | -0.20 |
| Dec 31, 2023 | -0.46 |
| Sep 30, 2023 | -0.19 |
| Jun 30, 2023 | -0.32 |
| Mar 31, 2023 | -0.27 |
| Dec 31, 2022 | -0.27 |
| Sep 30, 2022 | -0.28 |
| Jun 30, 2022 | -0.24 |
| Mar 31, 2022 | -0.26 |
| Dec 31, 2021 | -0.23 |
| Sep 30, 2021 | -0.22 |
API Access
ImmunityBio EPS (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=eps-diluted&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();