Cymbria Stock Debt To Equity

CYB Stock  CAD 72.00  1.75  2.37%   
Cymbria fundamentals help investors to digest information that contributes to Cymbria's financial success or failures. It also enables traders to predict the movement of Cymbria Stock. The fundamental analysis module provides a way to measure Cymbria's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Cymbria stock.
Last ReportedProjected for Next Year
Debt To Equity 0.03  0.03 
As of the 24th of December 2024, Debt To Equity is likely to drop to 0.03.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Cymbria Company Debt To Equity Analysis

Cymbria's Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.

Current Cymbria Debt To Equity

    
  0.0256  
Most of Cymbria's fundamental indicators, such as Debt To Equity, 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, Cymbria is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Cymbria Debt To Equity Driver Correlations

Understanding the fundamental principles of building solid financial models for Cymbria is extremely important. It helps to project a fair market value of Cymbria Stock properly, considering its historical fundamentals such as Debt To Equity. Since Cymbria's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Cymbria's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Cymbria's interrelated accounts and indicators.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
Competition

Cymbria Total Stockholder Equity

Total Stockholder Equity

934.48 Million

At this time, Cymbria's Total Stockholder Equity is very stable compared to the past year.

Did you try this?

Run Instant Ratings Now

   

Instant Ratings

Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
All  Next Launch Module

Cymbria Fundamentals

About Cymbria Fundamental Analysis

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

Pair Trading with Cymbria

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cymbria position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cymbria will appreciate offsetting losses from the drop in the long position's value.

Moving together with Cymbria Stock

  0.71JPM JPMorgan ChasePairCorr
  0.73BOFA Bank of AmericaPairCorr

Moving against Cymbria Stock

  0.66PFE Pfizer Inc CDRPairCorr
  0.55TKU Tarku ResourcesPairCorr
  0.44ENB-PH Enbridge H CumPairCorr
The ability to find closely correlated positions to Cymbria could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cymbria when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cymbria - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cymbria to buy it.
The correlation of Cymbria is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cymbria moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cymbria moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cymbria can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Cymbria Stock

Cymbria financial ratios help investors to determine whether Cymbria Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cymbria with respect to the benefits of owning Cymbria security.