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Notable Labs (Notable Labs) Accounts Payable : $1.80 Mil (As of Dec. 2023)


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What is Notable Labs Accounts Payable?

Notable Labs's Accounts Payable for the quarter that ended in Dec. 2023 was $1.80 Mil.

Notable Labs's quarterly Accounts Payable increased from Dec. 2021 ($0.65 Mil) to Dec. 2022 ($0.75 Mil) and increased from Dec. 2022 ($0.75 Mil) to Dec. 2023 ($1.80 Mil).

Notable Labs's annual Accounts Payable increased from Dec. 2021 ($0.65 Mil) to Dec. 2022 ($0.75 Mil) and increased from Dec. 2022 ($0.75 Mil) to Dec. 2023 ($1.80 Mil).


Notable Labs Accounts Payable Historical Data

The historical data trend for Notable Labs's Accounts Payable 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 Accounts Payable Chart

Notable Labs Annual Data
Trend Dec21 Dec22 Dec23
Accounts Payable
0.65 0.75 1.80

Notable Labs Semi-Annual Data
Dec21 Dec22 Dec23
Accounts Payable 0.65 0.75 1.80

Notable Labs Accounts Payable Calculation

Accounts Payable represents any money that a company owes its suppliers for goods and services purchased on credit and is expected to pay within the next year or operating cycle.


Notable Labs Accounts Payable Related Terms

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Notable Labs (Notable Labs) Business Description

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.