ImmunityBio (IBRX) Selling, General & Administrative (2014 - 2026)
ImmunityBio (IBRX) recorded Selling, General & Administrative of $51.82 million in Q2 2026, up 22.4% from $42.34 million a year earlier and up 13.2% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Selling, General & Administrative (2014 - 2026) Analysis & Trends
On a TTM basis, ImmunityBio's Selling, General & Administrative came in at $172.6 million as of Jun 30, 2026, up 13.1% year-over-year; for FY2025, it was $150 million, down 11.1% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $168.78 million in FY2024 (+30.2%), $129.62 million in FY2023 (+26.2%), $102.71 million in FY2022 (-24.1%) and $135.26 million in FY2021 (+89.7%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q2 2015.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 93.2% in Q2 2023, against a decline of 48.9% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.77 million (Q1 2026), $38.73 million (Q4 2025) and $36.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | ImmunityBio | 10.83 Bn | 9.59 Bn | 50.94 Mn | 51.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.82 Mn |
| Mar 31, 2026 | 45.77 Mn |
| Dec 31, 2025 | 38.73 Mn |
| Sep 30, 2025 | 36.28 Mn |
| Jun 30, 2025 | 42.34 Mn |
| Mar 31, 2025 | 32.65 Mn |
| Dec 31, 2024 | 41.73 Mn |
| Sep 30, 2024 | 35.92 Mn |
| Jun 30, 2024 | 49.25 Mn |
| Mar 31, 2024 | 41.89 Mn |
| Dec 31, 2023 | 33.11 Mn |
| Sep 30, 2023 | 31.82 Mn |
| Jun 30, 2023 | 32.02 Mn |
| Mar 31, 2023 | 32.68 Mn |
| Dec 31, 2022 | 26.22 Mn |
| Sep 30, 2022 | 19.31 Mn |
| Jun 30, 2022 | 16.58 Mn |
| Mar 31, 2022 | 40.61 Mn |
| Dec 31, 2021 | 27.91 Mn |
| Sep 30, 2021 | 29.63 Mn |
API Access
ImmunityBio Selling, General & Administrative 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=selling-general-and-administrative&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();