Cellectar Biosciences (CLRB) Return on Sales [ROS] (2012 - 2026)
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Analysis
Cellectar Biosciences (CLRB) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Cellectar Biosciences | 14.92 Mn | -55.86 Mn | - | -5,395.97% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,395.97% |
| Dec 31, 2025 | -5,832.06% |
| Sep 30, 2025 | -4,310.08% |
| Jun 30, 2025 | -6,859.27% |
| Mar 31, 2025 | -4,673.55% |
| Dec 31, 2024 | -5,218.80% |
| Sep 30, 2024 | -4,192.58% |
| Jun 30, 2024 | -4,166.44% |
| Mar 31, 2024 | -3,752.23% |
| Dec 31, 2023 | -9,012.86% |
| Sep 30, 2023 | -18,418.04% |
| Jun 30, 2023 | -11,395.99% |
| Mar 31, 2023 | -7,018.48% |
| Dec 31, 2022 | -5,034.14% |
| Sep 30, 2022 | -187,691.79% |
| Jun 30, 2022 | -1,545,846.99% |
| Mar 31, 2022 | -1,427,959.77% |
| Dec 31, 2021 | -1,056,535.90% |
| Sep 30, 2021 | -986,382.03% |
| Jun 30, 2021 | -914,823.82% |
API Access
Cellectar Biosciences Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CLRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CLRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();