ImmunityBio (IBRX) Return on Sales [ROS] (2014 - 2026)
ImmunityBio (IBRX) recorded Return on Sales [ROS] of -120.41% in Q2 2026, up 149.36 percentage points from -269.76% a year earlier and up 37.47 percentage points from the prior quarter.
ImmunityBio (IBRX) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, ImmunityBio's Return on Sales [ROS] came in at -151.88% as of Jun 30, 2026, up 352.30 percentage points year-over-year; for FY2025, it came in at -226.00%, up 2108.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +36283.09 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -2334.23% in FY2024 (+55905.32 pp), -58239.55% in FY2023 (+88134.62 pp), -146374.17% in FY2022 (-111012.28 pp) and -35361.88% in FY2021 (+1147.21 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q1 2014.
- On a year-over-year basis, Return on Sales [ROS] has increased for nine consecutive quarters, with an average year-over-year change of +50751.80 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 654519.84 percentage points in Q1 2023, against a drop of 623453.85 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -157.88% (Q1 2026), -168.95% (Q4 2025) and -173.51% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | ImmunityBio | 9.77 Bn | 8.54 Bn | 50.94 Mn | -120.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -120.41% |
| Mar 31, 2026 | -157.88% |
| Dec 31, 2025 | -168.95% |
| Sep 30, 2025 | -173.51% |
| Jun 30, 2025 | -269.76% |
| Mar 31, 2025 | -390.08% |
| Dec 31, 2024 | -918.96% |
| Sep 30, 2024 | -1,314.33% |
| Jun 30, 2024 | -9,487.39% |
| Mar 31, 2024 | -237,990.00% |
| Dec 31, 2023 | -61,430.94% |
| Sep 30, 2023 | -97,726.83% |
| Jun 30, 2023 | -207,670.73% |
| Mar 31, 2023 | -30,994.44% |
| Dec 31, 2022 | -116,301.37% |
| Sep 30, 2022 | -76,952.54% |
| Jun 30, 2022 | -227,491.43% |
| Mar 31, 2022 | -685,514.29% |
| Dec 31, 2021 | -20,326.67% |
| Sep 30, 2021 | -119,448.48% |
ImmunityBio Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();