Fintech Evolution Acquisition Stock Z Score

FTEVDelisted Stock  USD 10.18  0.01  0.1%   
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 Investing Opportunities 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 income.
  

FinTech Evolution Acquisition Company Z Score Analysis

FinTech Evolution'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 FinTech Evolution Z Score

    
  76.8  
Most of FinTech Evolution'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, FinTech Evolution Acquisition 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, FinTech Evolution Acquisition has a Z Score of 76. This is much higher than that of the Financial Services sector and significantly higher than that of the Shell Companies industry. The z score for all United States stocks is notably lower than that of the firm.

Did you try this?

Run Balance Of Power Now

   

Balance Of Power

Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
All  Next Launch Module

FinTech Fundamentals

About FinTech Evolution Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze FinTech Evolution Acquisition's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FinTech Evolution using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FinTech Evolution Acquisition 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 Investing Opportunities 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 income.
You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.

Other Consideration for investing in FinTech Stock

If you are still planning to invest in FinTech Evolution 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 FinTech Evolution's history and understand the potential risks before investing.
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk