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Smart Decision (Smart Decision) Altman Z-Score


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What is Smart Decision Altman Z-Score?

The Altman Z-Score is a model designed to predict the likelihood of a company going bankrupt within the next two years. Created by American finance professor Edward Altman in 1968, the model is specifically designed for publicly traded manufacturing companies with assets greater than $1 million.

Smart Decision does not have enough data to calculate Altman Z-Score.


Smart Decision Altman Z-Score Historical Data

The historical data trend for Smart Decision's Altman Z-Score 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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Smart Decision Altman Z-Score Chart

Smart Decision Annual Data
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Smart Decision Semi-Annual Data
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Competitive Comparison of Smart Decision's Altman Z-Score

For the Software - Application subindustry, Smart Decision's Altman Z-Score, along with its competitors' market caps and Altman Z-Score 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 Altman Z-Score Distribution in the Software Industry

For the Software industry and Technology sector, Smart Decision's Altman Z-Score distribution charts can be found below:

* The bar in red indicates where Smart Decision's Altman Z-Score falls into.



Smart Decision  (OTCPK:SDEC) Altman Z-Score Explanation

X1: The Working Capital/Total Assets (WC/TA) ratio is a measure of the net liquid assets of the firm relative to the total capitalization. Working capital is defined as the difference between current assets and current liabilities. Ordinarily, a firm experiencing consistent operating losses will have shrinking current assets in relation to total assets. Altman found this one proved to be the most valuable liquidity ratio comparing with the current ratio and the quick ratio. This is however the least significant of the five factors.

X2: Retained Earnings/Total Assets: the RE/TA ratio measures the leverage of a firm. Retained earnings is the account which reports the total amount of reinvested earnings and/or losses of a firm over its entire life. Those firms with high RE, relative to TA, have financed their assets through retention of profits and have not utilized as much debt.

X3, Earnings Before Interest and Taxes/Total Assets (EBIT/TA): This ratio is a measure of the true productivity of the firm's assets, independent of any tax or leverage factors. Since a firm's ultimate existence is based on the earning power of its assets, this ratio appears to be particularly appropriate for studies dealing with corporate failure. This ratio continually outperforms other profitability measures, including cash flow.

X4, Market Value of Equity/Book Value of Total Liabilities (MVE/TL): The measure shows how much the firm's assets can decline in value (measured by market value of equity plus debt) before the liabilities exceed the assets and the firm becomes insolvent.

X5, Revenue/Total Assets (S/TA): The capital-turnover ratio is a standard financial ratio illustrating the sales generating ability of the firm's assets.

Read more about Altman Z-Score and the original research.


Be Aware

Altman Z-Score does not apply to financial companies.


Smart Decision Altman Z-Score Related Terms

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Smart Decision (Smart Decision) Business Description

Comparable Companies
Traded in Other Exchanges
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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.

Smart Decision (Smart Decision) Headlines

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