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Notable Labs (Notable Labs) EV-to-EBIT : (As of May. 13, 2024)


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What is Notable Labs EV-to-EBIT?

EV-to-EBIT is calculated as Enterprise Value divided by its EBIT. As of today, Notable Labs's Enterprise Value is $1.50 Mil. Notable Labs does not have enough years/quarters to calculate its EBIT for the trailing twelve months (TTM) ended in Dec. 2023. Therefore, GuruFocus does not calculate Notable Labs's EV-to-EBIT at this moment.

The historical rank and industry rank for Notable Labs's EV-to-EBIT or its related term are showing as below:

NTBL' s EV-to-EBIT Range Over the Past 10 Years
Min: -2.74   Med: 0.32   Max: 0.45
Current: -0.1

During the past 3 years, the highest EV-to-EBIT of Notable Labs was 0.45. The lowest was -2.74. And the median was 0.32.

NTBL's EV-to-EBIT is ranked worse than
100% of 436 companies
in the Biotechnology industry
Industry Median: 9.28 vs NTBL: -0.10

Joel Greenblatt calls the inversion of this ratio Earnings Yield (Joel Greenblatt) %. Notable Labs's Enterprise Value for the quarter that ended in Dec. 2023 was $7.27 Mil. Notable Labs does not have enough years/quarters to calculate its EBIT for the trailing twelve months (TTM) ended in Dec. 2023. Therefore, GuruFocus does not calculate Notable Labs's Earnings Yield (Joel Greenblatt) % at this moment.


Notable Labs EV-to-EBIT Historical Data

The historical data trend for Notable Labs's EV-to-EBIT 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.

* Premium members only.

Notable Labs EV-to-EBIT Chart

Notable Labs Annual Data
Trend Dec21 Dec22 Dec23
EV-to-EBIT
- - -0.50

Notable Labs Semi-Annual Data
Dec21 Dec22 Dec23
EV-to-EBIT - - -0.50

Competitive Comparison of Notable Labs's EV-to-EBIT

For the Biotechnology subindustry, Notable Labs's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Notable Labs's EV-to-EBIT Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Notable Labs's EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where Notable Labs's EV-to-EBIT falls into.



Notable Labs EV-to-EBIT Calculation

Notable Labs's EV-to-EBIT for today is calculated as:

EV-to-EBIT=Enterprise Value (Today)/EBIT (TTM)
=1.497/
=


Notable Labs  (NAS:NTBL) EV-to-EBIT Explanation

This is a more accurate valuation of companies' operation because it considers the debt and cash on its balance sheet, and non-operating items such as interest payment, tax, and one-time items are not included in the Operating Income.

Joel Greenblatt calls the inversion of this ratio Earnings Yield (Joel Greenblatt) %.

Notable Labs's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2023 is calculated as:

Earnings Yield (Joel Greenblatt) % (Q: Dec. 2023 ) =EBIT / Enterprise Value (Q: Dec. 2023 )
=/7.2685114
= %


Notable Labs EV-to-EBIT 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.