ImmunityBio (IBRX) EBITDA Margin (2014 - 2026)
ImmunityBio (IBRX) recorded EBITDA Margin of -111.81% in Q2 2026, up 143.27 percentage points from -255.08% a year earlier and up 36.16 percentage points from the prior quarter.
ImmunityBio (IBRX) EBITDA Margin (2014 - 2026) Analysis & Trends
On a TTM basis, ImmunityBio's EBITDA Margin came in at -141.86% as of Jun 30, 2026, up 333.52 percentage points year-over-year; for FY2025, it was -212.29%, up 2002.89 percentage points from FY2024.
- Annual EBITDA Margin has increased for three straight years, with a five-year change of +34191.18 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -2215.18% in FY2024 (+53048.17 pp), -55263.34% in FY2023 (+83502.49 pp), -138765.83% in FY2022 (-104928.36 pp) and -33837.47% in FY2021 (+566.00 pp).
- The Q2 2026 figure is the highest quarterly EBITDA Margin in data going back to Q1 2014.
- On a year-over-year basis, EBITDA Margin has increased for nine consecutive quarters, with an average year-over-year change of +48171.51 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 626605.83 percentage points in Q1 2023, against a drop of 596377.70 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -147.97% (Q1 2026), -158.86% (Q4 2025) and -161.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 53.49% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 35.95% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 49.01% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 6.02% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.11% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 46.01% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -124.26% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 39.16% |
| 10 | ImmunityBio | 9.07 Bn | 7.83 Bn | 50.94 Mn | -111.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -111.81% |
| Mar 31, 2026 | -147.97% |
| Dec 31, 2025 | -158.86% |
| Sep 30, 2025 | -161.19% |
| Jun 30, 2025 | -255.08% |
| Mar 31, 2025 | -366.89% |
| Dec 31, 2024 | -797.87% |
| Sep 30, 2024 | -1,139.85% |
| Jun 30, 2024 | -8,509.55% |
| Mar 31, 2024 | -212,730.00% |
| Dec 31, 2023 | -53,026.62% |
| Sep 30, 2023 | -78,167.07% |
| Jun 30, 2023 | -166,280.49% |
| Mar 31, 2023 | -26,489.72% |
| Dec 31, 2022 | -94,019.18% |
| Sep 30, 2022 | -69,327.12% |
| Jun 30, 2022 | -213,725.71% |
| Mar 31, 2022 | -653,657.14% |
| Dec 31, 2021 | -19,404.87% |
| Sep 30, 2021 | -113,862.12% |
ImmunityBio EBITDA 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=ebitda-margin&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();