Micromobility Stock Z Score

MCOMDelisted Stock   0.09  0  1.44%   
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 Correlation 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 persons.
  

Micromobility Company Z Score Analysis

Micromobility'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 Micromobility Z Score

    
  -11.17  
Most of Micromobility'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, Micromobility 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

Based on the company's disclosures, Micromobility has a Z Score of -11.17. This is 445.82% lower than that of the Textiles, Apparel & Luxury Goods sector and 293.25% lower than that of the Consumer Discretionary industry. The z score for all United States stocks is notably higher than that of the company.

Did you try this?

Run Volatility Analysis Now

   

Volatility Analysis

Get historical volatility and risk analysis based on latest market data
All  Next Launch Module

Micromobility Fundamentals

About Micromobility Fundamental Analysis

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

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
Check out Correlation 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 persons.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

Other Consideration for investing in Micromobility Stock

If you are still planning to invest in Micromobility 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 Micromobility's history and understand the potential risks before investing.
Equity Valuation
Check real value of public entities based on technical and fundamental data
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators