ImmunityBio (IBRX) Accumulated Expenses (2014 - 2026)
ImmunityBio's Accumulated Expenses was $48.2 million in Q1 2026, up 72.8% from $27.89 million a year earlier and up 2.9% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at ImmunityBio came in at $46.84 million, up 15.4% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $40.58 million in FY2024 (-5.0%), $42.71 million in FY2023 (+2.1%), $41.83 million in FY2022 (-18.6%) and $51.39 million in FY2021 (+39.7%).
- The Q1 2026 figure marks the highest quarterly Accumulated Expenses since Q3 2023.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with an average decline of 0.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 600.7%); the worst was Q2 2024 (a decline of 43.3%).
- Per Business Quant data, IBRX's Accumulated Expenses in the three quarters before Q1 2026 was $46.84 million (Q4 2025), $43.6 million (Q3 2025) and $35.71 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | ImmunityBio | 9.94 Bn | 8.70 Bn | 50.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 48.20 Mn |
| Dec 31, 2025 | 46.84 Mn |
| Sep 30, 2025 | 43.60 Mn |
| Jun 30, 2025 | 35.71 Mn |
| Mar 31, 2025 | 27.89 Mn |
| Dec 31, 2024 | 40.58 Mn |
| Sep 30, 2024 | 43.60 Mn |
| Jun 30, 2024 | 35.34 Mn |
| Mar 31, 2024 | 32.71 Mn |
| Dec 31, 2023 | 42.71 Mn |
| Sep 30, 2023 | 64.87 Mn |
| Jun 30, 2023 | 62.34 Mn |
| Mar 31, 2023 | 54.12 Mn |
| Dec 31, 2022 | 41.83 Mn |
| Sep 30, 2022 | 46.22 Mn |
| Jun 30, 2022 | 52.35 Mn |
| Mar 31, 2022 | 62.47 Mn |
| Dec 31, 2021 | 51.39 Mn |
| Sep 30, 2021 | 38.52 Mn |
| Dec 31, 2020 | 36.77 Mn |
API Access
ImmunityBio Accumulated Expenses 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=accumulated-expenses&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();