ImmunityBio (IBRX) Net Margin (2014 - 2026)
ImmunityBio (IBRX) posted Net Margin of -449.61% for Q2 2026, down 99.35 percentage points from -350.26% a year earlier but up 981.83 percentage points from the prior quarter.
ImmunityBio (IBRX) Net Margin (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at ImmunityBio was -598.56%, up 50.02 percentage points year-over-year; for FY2025, it came in at -310.18%, up 2494.59 percentage points from FY2024.
- Annual Net Margin has increased for three consecutive years, with a five-year change of +36359.41 percentage points (FY2020 to FY2025).
- In prior years, ImmunityBio's Net Margin was -2804.77% in FY2024 (+90956.64 pp), -93761.41% in FY2023 (+79808.17 pp), -173569.58% in FY2022 (-136440.03 pp) and -37129.55% in FY2021 (-459.96 pp).
- Quarterly Net Margin has run from a low of -734471.43% in Q1 2022 to a high of -161.80% in Q4 2025 over five years.
- On a year-over-year basis, Net Margin increased in six of the last eight quarters, with an average year-over-year change of +78792.95 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q1 2023, with a gain of 702153.93 percentage points; the weakest was Q1 2022, with a drop of 677195.17 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -1431.44% (Q1 2026), -161.80% (Q4 2025) and -209.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 32.99% |
| 10 | ImmunityBio | 8.97 Bn | 7.74 Bn | 50.94 Mn | -449.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -449.61% |
| Mar 31, 2026 | -1,431.44% |
| Dec 31, 2025 | -161.80% |
| Sep 30, 2025 | -209.77% |
| Jun 30, 2025 | -350.26% |
| Mar 31, 2025 | -784.92% |
| Dec 31, 2024 | -783.40% |
| Sep 30, 2024 | -1,404.01% |
| Jun 30, 2024 | -12,852.34% |
| Mar 31, 2024 | -335,272.50% |
| Dec 31, 2023 | -167,907.91% |
| Sep 30, 2023 | -116,563.41% |
| Jun 30, 2023 | -336,290.24% |
| Mar 31, 2023 | -32,317.50% |
| Dec 31, 2022 | -148,239.73% |
| Sep 30, 2022 | -94,015.25% |
| Jun 30, 2022 | -270,251.43% |
| Mar 31, 2022 | -734,471.43% |
| Dec 31, 2021 | -23,399.74% |
| Sep 30, 2021 | -132,771.21% |
ImmunityBio Net Margin 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=net-margin&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();