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Smart Decision (Smart Decision) EV-to-EBITDA : (As of Apr. 26, 2024)


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What is Smart Decision EV-to-EBITDA?

EV-to-EBITDA is calculated as enterprise value divided by its EBITDA. As of today, Smart Decision's enterprise value is $0.03 Mil. Smart Decision does not have enough years/quarters to calculate its EBITDA for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Smart Decision's EV-to-EBITDA at this moment.

The historical rank and industry rank for Smart Decision's EV-to-EBITDA or its related term are showing as below:

SDEC's EV-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 14.63
* Ranked among companies with meaningful EV-to-EBITDA only.

EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.

As of today (2024-04-26), Smart Decision's stock price is $0.0001. Smart Decision does not have enough years/quarters to calculate its Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Smart Decision's PE Ratio at this moment.

The "classic" EV-to-EBITDA is much better in capturing debt and net cash than the PE Ratio.


Smart Decision EV-to-EBITDA Historical Data

The historical data trend for Smart Decision's EV-to-EBITDA 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.

Smart Decision EV-to-EBITDA Chart

Smart Decision Annual Data
Trend
EV-to-EBITDA

Smart Decision Semi-Annual Data
EV-to-EBITDA

Competitive Comparison of Smart Decision's EV-to-EBITDA

For the Software - Application subindustry, Smart Decision's EV-to-EBITDA, along with its competitors' market caps and EV-to-EBITDA 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.


Smart Decision's EV-to-EBITDA Distribution in the Software Industry

For the Software industry and Technology sector, Smart Decision's EV-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Smart Decision's EV-to-EBITDA falls into.



Smart Decision EV-to-EBITDA Calculation

Smart Decision's EV-to-EBITDA for today is calculated as:

EV-to-EBITDA=Enterprise Value (Today)/EBITDA (TTM)
=0.034/
=


Smart Decision  (OTCPK:SDEC) EV-to-EBITDA Explanation

EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.

Smart Decision's PE Ratio for today is calculated as:

PE Ratio=Share Price (Today)/Earnings per Share (Diluted) (TTM)
=0.0001/
=

Study has found that the companies with the lowest EV-to-EBITDA outperforms companies measured as cheap by other ratios such as PE Ratio.

Please read Which price ratio outperforms the enterprise multiple?


Smart Decision EV-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Smart Decision's EV-to-EBITDA provided by GuruFocus.com. Please click on the following links to see related term pages.


Smart Decision (Smart Decision) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
1825 Corporate Boulevard North West, Suite 110, Boca Raton, FL, USA, 33431
Smart Decision Inc is engaged in the research and development of algorithms for the consumer and business LED lighting market. Through the algorithm, consumers will be able to select the right LED bulbs/fixtures by answering a handful of consumer-friendly questions.

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