ImmunityBio (IBRX) Receivables - Net (2014 - 2026)
ImmunityBio's Receivables - Net came in at $53.47 million for Q2 2026, up 141.7% from $22.13 million a year earlier and up 23.6% from the prior quarter.
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Analysis
ImmunityBio (IBRX) Receivables - Net (2014 - 2026) Analysis & Trends
At the end of FY2025, ImmunityBio's Receivables - Net was $42.57 million.
- Receivables - Net carries a three-year compound annual growth rate of 219.9% (FY2022 to FY2025).
- Going back by year, Receivables - Net was $2.36 million in FY2024 and $1.3 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Receivables - Net in data going back to Q4 2014.
- Business Quant data shows IBRX's Receivables - Net at $43.27 million (Q1 2026), $42.57 million (Q4 2025) and $32.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | ImmunityBio | 7.48 Bn | 6.24 Bn | 50.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.47 Mn |
| Mar 31, 2026 | 43.27 Mn |
| Dec 31, 2025 | 42.57 Mn |
| Sep 30, 2025 | 32.02 Mn |
| Jun 30, 2025 | 22.13 Mn |
| Mar 31, 2025 | 17.03 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 4.18 Mn |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 1.30 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 1.30 Mn |
| Dec 31, 2022 | 1.30 Mn |
| Jun 30, 2016 | 3,000.00 |
| Jun 30, 2015 | 45,000.00 |
| Dec 31, 2014 | 145,000.00 |
API Access
ImmunityBio Receivables - Net 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=receivables-net&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();