Ironnet Stock Z Score

IRNTDelisted Stock  USD 0.13  0.00  0.00%   
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 Risk vs Return Analysis 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 board of governors.
  

Ironnet Company Z Score Analysis

Ironnet'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 Ironnet Z Score

    
  -32.96  
Most of Ironnet'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, Ironnet 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

According to the company's disclosures, Ironnet has a Z Score of -32.96. This is 345.06% lower than that of the Software sector and significantly lower than that of the Information Technology industry. The z score for all United States stocks is notably higher than that of the company.

Ironnet Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Ironnet's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Ironnet could also be used in its relative valuation, which is a method of valuing Ironnet by comparing valuation metrics of similar companies.
Ironnet is currently under evaluation in z score category among its peers.

Ironnet Fundamentals

About Ironnet Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Ironnet's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ironnet using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ironnet 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
Check out Risk vs Return Analysis 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 board of governors.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

Other Consideration for investing in Ironnet Stock

If you are still planning to invest in Ironnet 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 Ironnet's history and understand the potential risks before investing.
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