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Notable Labs (Notable Labs) Cash Flow for Lease Financing : $ Mil (TTM As of Dec. 2023)


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What is Notable Labs Cash Flow for Lease Financing?

Notable Labs's Cash Flow for Lease Financing for the six months ended in Dec. 2023 was $0.00 Mil. Notable Labs does not have enough years/quarters to calculate the Cash Flow for Lease Financing for the trailing twelve months (TTM) ended in Dec. 2023.

Compared with last quarter ($0.00 Mil in Dec. 2022 ), Notable Labs's Cash Flow for Lease Financing remained the same in Dec. 2023 ($0.00 Mil).


Notable Labs Cash Flow for Lease Financing Historical Data

The historical data trend for Notable Labs's Cash Flow for Lease Financing can be seen below:

* 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.

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Notable Labs Cash Flow for Lease Financing Chart

Notable Labs Annual Data
Trend Dec21 Dec22 Dec23
Cash Flow for Lease Financing
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Notable Labs Semi-Annual Data
Dec21 Dec22 Dec23
Cash Flow for Lease Financing - - -

Notable Labs Cash Flow for Lease Financing Calculation

Cash Flow for Lease Financing is change in cash flow resulting from increase or decrease in lease financing.



Notable Labs Cash Flow for Lease Financing Related Terms

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Notable Labs (Notable Labs) Business Description

Industry
Traded in Other Exchanges
N/A
Address
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.