Cartesian Therapeutics (RNAC) Price to Book (2016 - 2024)
Cartesian Therapeutics' Price to Book was 512.25 in Q3 2024, up 527.6% from 81.63 a year earlier.
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Analysis
Cartesian Therapeutics (RNAC) Price to Book (2016 - 2024) Analysis & Trends
For FY2022, Price to Book at Cartesian Therapeutics came in at 55.29, down 89.7% from FY2021.
- In earlier years, Price to Book was 536.85 in FY2021 and 387.30 in FY2019.
- The Q3 2024 figure marks the highest quarterly Price to Book since Q4 2021.
- Compared with a year earlier, Price to Book was higher in three of the last five quarters, with growth averaging 90.3%.
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 | Cartesian Therapeutics | 216.57 Mn | 216.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 512.25 |
| Sep 30, 2023 | 81.63 |
| Jun 30, 2023 | 78.77 |
| Mar 31, 2023 | 85.79 |
| Dec 31, 2022 | 55.29 |
| Sep 30, 2022 | 88.67 |
| Jun 30, 2022 | 66.98 |
| Mar 31, 2022 | 82.30 |
| Dec 31, 2021 | 536.85 |
| Dec 31, 2019 | 387.30 |
| Jun 30, 2019 | 43,106.67 |
| Mar 31, 2019 | 214.89 |
| Sep 30, 2018 | 1,411.49 |
| Jun 30, 2018 | 410.93 |
| Mar 31, 2018 | 175.27 |
| Dec 31, 2017 | 126.91 |
| Sep 30, 2017 | 186.11 |
| Jun 30, 2017 | 168.08 |
| Mar 31, 2017 | 193.97 |
| Dec 31, 2016 | 98.24 |
API Access
Cartesian Therapeutics 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=RNAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "RNAC", "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=RNAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();