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 Stella Jones. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
Stella
Z Score
Market Cap
Enterprise Value
Price To Sales Ratio
Dividend Yield
Ptb Ratio
Days Sales Outstanding
Book Value Per Share
Free Cash Flow Yield
Operating Cash Flow Per Share
Average Payables
Stock Based Compensation To Revenue
Capex To Depreciation
Pb Ratio
Ev To Sales
Free Cash Flow Per Share
Roic
Inventory Turnover
Net Income Per Share
Days Of Inventory On Hand
Payables Turnover
Average Inventory
Capex To Revenue
Cash Per Share
Pocfratio
Interest Coverage
Payout Ratio
Capex To Operating Cash Flow
Pfcf Ratio
Days Payables Outstanding
Income Quality
Roe
Ev To Operating Cash Flow
Pe Ratio
Return On Tangible Assets
Ev To Free Cash Flow
Earnings Yield
Intangibles To Total Assets
Net Debt To E B I T D A
Current Ratio
Tangible Book Value Per Share
Receivables Turnover
Graham Number
Shareholders Equity Per Share
Debt To Equity
Capex Per Share
Graham Net Net
Average Receivables
Revenue Per Share
Interest Debt Per Share
Debt To Assets
Enterprise Value Over E B I T D A
Short Term Coverage Ratios
Price Earnings Ratio
Operating Cycle
Price Book Value Ratio
Price Earnings To Growth Ratio
Days Of Payables Outstanding
Dividend Payout Ratio
Price To Operating Cash Flows Ratio
Price To Free Cash Flows Ratio
Pretax Profit Margin
Ebt Per Ebit
Operating Profit Margin
Effective Tax Rate
Company Equity Multiplier
Long Term Debt To Capitalization
Total Debt To Capitalization
Return On Capital Employed
Debt Equity Ratio
Ebit Per Revenue
Quick Ratio
Dividend Paid And Capex Coverage Ratio
Net Income Per E B T
Cash Ratio
Cash Conversion Cycle
Operating Cash Flow Sales Ratio
Days Of Inventory Outstanding
Days Of Sales Outstanding
Free Cash Flow Operating Cash Flow Ratio
Cash Flow Coverage Ratios
Price To Book Ratio
Fixed Asset Turnover
Capital Expenditure Coverage Ratio
Price Cash Flow Ratio
Enterprise Value Multiple
Debt Ratio
Cash Flow To Debt Ratio
Price Sales Ratio
Return On Assets
Asset Turnover
Net Profit Margin
Gross Profit Margin
Price Fair Value
Return On Equity
Change In Cash
Free Cash Flow
Begin Period Cash Flow
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Capital Expenditures
Total Cash From Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Sale Purchase Of Stock
Dividends Paid
Change To Inventory
Change In Working Capital
Stock Based Compensation
Change To Account Receivables
Net Borrowings
Total Cashflows From Investing Activities
Change To Operating Activities
Other Cashflows From Investing Activities
Change To Netincome
Change To Liabilities
Investments
Issuance Of Capital Stock
Total Assets
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Net Debt
Retained Earnings
Accounts Payable
Non Current Assets Total
Non Currrent Assets Other
Net Receivables
Common Stock Shares Outstanding
Liabilities And Stockholders Equity
Non Current Liabilities Total
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Property Plant And Equipment Gross
Total Current Assets
Accumulated Other Comprehensive Income
Short Term Debt
Cash
Cash And Short Term Investments
Current Deferred Revenue
Good Will
Intangible Assets
Common Stock Total Equity
Short Term Investments
Common Stock
Other Liab
Net Tangible Assets
Other Assets
Long Term Debt
Long Term Investments
Short Long Term Debt
Property Plant Equipment
Long Term Debt Total
Capital Surpluse
Non Current Liabilities Other
Net Invested Capital
Net Working Capital
Capital Stock
Capital Lease Obligations
Depreciation And Amortization
Interest Expense
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Cost Of Revenue
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Selling General Administrative
Net Income From Continuing Ops
Net Income Applicable To Common Shares
Tax Provision
Interest Income
Net Interest Income
Reconciled Depreciation
Extraordinary Items
Probability Of Bankruptcy
At this time, Stella Jones' Capital Expenditures is very stable compared to the past year. As of the 5th of March 2025, Issuance Of Capital Stock is likely to grow to about 991.2 K, while Capital Surpluse is likely to drop about 286.9 K. At this time, Stella Jones' EBIT is very stable compared to the past year. As of the 5th of March 2025, EBITDA is likely to grow to about 734.2 M, though Total Other Income Expense Net is likely to grow to (58.1 M).
Stella Jones Company Z Score Analysis
Stella Jones' 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..
Understanding the fundamental principles of building solid financial models for Stella Jones is extremely important. It helps to project a fair market value of Stella Stock properly, considering its historical fundamentals such as Z Score. Since Stella Jones' 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 Stella Jones' 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 Stella Jones' interrelated accounts and indicators.
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.
Based on the company's disclosures, Stella Jones has a Z Score of 0.0. This is 100.0% lower than that of the Paper & Forest Products sector and 100.0% lower than that of the Materials industry. The z score for all Canada stocks is 100.0% higher than that of the company.
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The Macroaxis Fundamental Analysis modules help investors analyze Stella Jones's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Stella Jones using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Stella Jones 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.
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 Stella Jones 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 Stella Jones will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Stella Jones could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Stella Jones 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 Stella Jones - 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 Stella Jones to buy it.
The correlation of Stella Jones 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 Stella Jones moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Stella Jones 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 Stella Jones 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.
Stella Jones financial ratios help investors to determine whether Stella 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 Stella with respect to the benefits of owning Stella Jones security.