Waste Connections Stock Z Score

UI51 Stock   176.05  0.20  0.11%   
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 World Market Map to better understand how to build diversified portfolios, which includes a position in Waste Connections. 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.
For more information on how to buy Waste Stock please use our How to Invest in Waste Connections guide.
  

Waste Connections Company Z Score Analysis

Waste Connections' 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 Waste Connections Z Score

    
  3.6  
Most of Waste Connections' 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, Waste Connections 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
As per the company's disclosures, Waste Connections has a Z Score of 3.6. This is much higher than that of the sector and significantly higher than that of the Z Score industry. The z score for all Germany stocks is notably lower than that of the firm.

Waste Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Waste Connections' 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 Waste Connections could also be used in its relative valuation, which is a method of valuing Waste Connections by comparing valuation metrics of similar companies.
Waste Connections is currently under evaluation in z score category among its peers.

Waste Fundamentals

About Waste Connections Fundamental Analysis

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

When running Waste Connections' price analysis, check to measure Waste Connections' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Waste Connections is operating at the current time. Most of Waste Connections' value examination focuses on studying past and present price action to predict the probability of Waste Connections' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Waste Connections' price. Additionally, you may evaluate how the addition of Waste Connections to your portfolios can decrease your overall portfolio volatility.