Azure Power Global Stock Z Score

AZREDelisted Stock  USD 0.34  1.24  78.48%   
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
  

Azure Power Global Company Z Score Analysis

Azure Power's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..

Z Score

 = 

Sum Of

5 Factors

More About Z Score | All Equity Analysis

Current Azure Power Z Score

    
  0.24  
Most of Azure Power's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Azure Power Global is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

First Factor

 = 

1.2 * (

Working Capital

/

Total Assets )

Second Factor

 = 

1.4 * (

Retained Earnings

/

Total Assets )

Thrid Factor

 = 

3.3 * (

EBITAD

/

Total Assets )

Fouth Factor

 = 

0.6 * (

Market Value of Equity

/

Total Liabilities )

Fifth Factor

 = 

0.99 * (

Revenue

/

Total Assets )

To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Competition

In accordance with the company's disclosures, Azure Power Global has a Z Score of 0.24. This is 92.88% lower than that of the Independent Power and Renewable Electricity Producers sector and significantly higher than that of the Utilities industry. The z score for all United States stocks is 97.25% higher than that of the company.

Did you try this?

Run Portfolio Suggestion Now

   

Portfolio Suggestion

Get suggestions outside of your existing asset allocation including your own model portfolios
All  Next Launch Module

Azure Fundamentals

About Azure Power Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Azure Power Global's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Azure Power using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Azure Power Global based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Consideration for investing in Azure Stock

If you are still planning to invest in Azure Power Global check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Azure Power's history and understand the potential risks before investing.
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Global Correlations
Find global opportunities by holding instruments from different markets
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges