ImmunityBio (IBRX) Price to Book (2015 - 2020)
ImmunityBio's (IBRX) Price to Book came in at 92.03 for Q2 2020, compared with 0.66 a year earlier.
Powered by 
Analysis
ImmunityBio (IBRX) Price to Book (2015 - 2020) Analysis & Trends
For FY2019, ImmunityBio's Price to Book stood at 22.86.
- In prior years, ImmunityBio's Price to Book was 1.12 in FY2018 (-30.9%), 1.62 in FY2017 (+1.4%), 1.60 in FY2016 (-59.6%) and 3.96 in FY2015.
- The Q2 2020 figure stands as the highest quarterly Price to Book in data going back to Q3 2015.
- The strongest year-over-year quarter for Price to Book in the past five years was Q2 2017, with growth of 52.4%; the weakest was Q4 2016, with a decline of 59.6%.
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 |
|---|---|
| Jun 30, 2020 | 92.03 |
| Dec 31, 2019 | 22.86 |
| Sep 30, 2019 | 0.88 |
| Jun 30, 2019 | 0.66 |
| Mar 31, 2019 | 0.77 |
| Dec 31, 2018 | 1.12 |
| Sep 30, 2018 | 1.81 |
| Jun 30, 2018 | 1.33 |
| Mar 31, 2018 | 1.54 |
| Dec 31, 2017 | 1.62 |
| Sep 30, 2017 | 1.83 |
| Jun 30, 2017 | 2.38 |
| Mar 31, 2017 | 1.05 |
| Dec 31, 2016 | 1.60 |
| Sep 30, 2016 | 2.06 |
| Jun 30, 2016 | 1.56 |
| Mar 31, 2016 | 1.96 |
| Dec 31, 2015 | 3.96 |
| Sep 30, 2015 | 2.56 |
API Access
ImmunityBio Price to Book 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=price-to-book&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();