Cellectar Biosciences (CLRB) Price to Book (2010 - 2026)
Cellectar Biosciences' (CLRB) Price to Book was 1.14 for Q2 2026, down 46.2% from 2.12 a year earlier.
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Analysis
Cellectar Biosciences (CLRB) Price to Book (2010 - 2026) Analysis & Trends
For FY2025, Price to Book at Cellectar Biosciences was 0.90, up 17.3% from FY2024.
- By year, Price to Book came in at 0.77 in FY2024, 1.48 in FY2022 (+6.6%) and 1.39 in FY2021 (+84.5%).
- Five-year quarterly Price to Book spans a low of 0.77 in Q4 2024 and a high of 10.56 in Q1 2024.
- Year over year, Price to Book gained in 1 of the last five quarters, with an average decline of 48.7%.
- The high point for year-over-year Price to Book in five years was Q1 2023 (growth of 457.3%); the low point was Q1 2025 (a decline of 83.1%).
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 | Cellectar Biosciences | 22.51 Mn | 22.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 |
| Dec 31, 2025 | 0.90 |
| Sep 30, 2025 | 2.24 |
| Jun 30, 2025 | 2.12 |
| Mar 31, 2025 | 1.79 |
| Dec 31, 2024 | 0.77 |
| Sep 30, 2024 | 5.72 |
| Jun 30, 2024 | 7.24 |
| Mar 31, 2024 | 10.56 |
| Mar 31, 2023 | 10.16 |
| Dec 31, 2022 | 1.48 |
| Sep 30, 2022 | 1.91 |
| Jun 30, 2022 | 1.36 |
| Mar 31, 2022 | 1.82 |
| Dec 31, 2021 | 1.39 |
| Sep 30, 2021 | 1.47 |
| Jun 30, 2021 | 1.50 |
| Mar 31, 2021 | 1.71 |
| Dec 31, 2020 | 0.75 |
| Sep 30, 2020 | 2.05 |
API Access
Cellectar Biosciences 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=CLRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CLRB", "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=CLRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();