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Notable Labs (Notable Labs) Float Percentage Of Total Shares Outstanding : 61.99% (As of May. 26, 2024)


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What is Notable Labs Float Percentage Of Total Shares Outstanding?

Float percentage of total shares outstanding is the percentage of float shares relative to the total shares outstanding. As of today, Notable Labs's float shares is 5.59 Mil. Notable Labs's total shares outstanding is 9.02 Mil. Notable Labs's float percentage of total shares outstanding is 61.99%.

Insider Ownership is the percentage of shares that are owned by company insiders relative to the total shares outstanding. As of today, Notable Labs's Insider Ownership is 0.00%.

Institutional Ownership is the percentage of shares that are owned by institutions out of the total shares outstanding. As of today, Notable Labs's Institutional Ownership is 0.01%.


Notable Labs Float Percentage Of Total Shares Outstanding Calculation

It is the percentage of float shares out of the total shares outstanding.

Notable Labs's Float Percentage of Total Shares Outstanding for today is calculated as follows:

Float Percentage of Total Shares Outstanding=Float Shares/Total Shares Outstanding
=5.59/9.02
=61.99%

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Notable Labs (Notable Labs) Business Description

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320 Hatch Drive, Foster City, CA, USA, 94404
Notable Labs Ltd is a clinical-stage platform therapeutics company developing predictive precision medicines for patients with cancer. Through its proprietary Predictive Precision Medicines Platform (PPMP), Notable bio-simulates a cancer treatment to predict whether or not a patient is likely to respond to that specific therapeutic. Through its proprietary Predictive Precision Medicines Platform (PPMP), Notable bio-simulates a cancer treatment to predict whether or not a patient is likely to respond to that specific therapeutic.