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. Additionally, take a look at Sysco Piotroski F Score and Sysco Valuation analysis.
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Sysco
Z Score
Net Income Per Employee
Revenue Per Employee
Average Assets
Earnings Before Interest Taxes and Depreciation Amortization EBITDA
Earnings Before Interest Taxes and Depreciation Amortization USD
Earnings before Tax
Average Equity
Enterprise Value
Free Cash Flow
Invested Capital
Invested Capital Average
Market Capitalization
Tangible Asset Value
Working Capital
Interest Coverage
Calculated Tax Rate
PPandE Turnover
Receivables Turnover
Inventory Turnover
Accounts Payable Turnover
Accrued Expenses Turnover
Operating Margin
Cash and Equivalents Turnover
Return on Investment
Cash Flow Per Share
Revenue to Assets
Total Assets Per Share
Quick Ratio
Net Current Assets as percentage of Total Assets
Asset Turnover
Book Value per Share
Current Ratio
Debt to Equity Ratio
Dividend Yield
Dividends per Basic Common Share
EBITDA Margin
Earnings per Basic Share
Earnings per Diluted Share
Earnings per Basic Share USD
Enterprise Value over EBIT
Enterprise Value over EBITDA
Free Cash Flow per Share
Gross Margin
Profit Margin
Payout Ratio
Price to Book Value
Price to Earnings Ratio
Return on Average Assets
Return on Average Equity
Return on Invested Capital
Return on Sales
Sales per Share
Tangible Assets Book Value per Share
Capital Expenditure
Depreciation Amortization and Accretion
Net Cash Flow or Change in Cash and Cash Equivalents
Net Cash Flow Business Acquisitions and Disposals
Issuance Purchase of Equity Shares
Issuance Repayment of Debt Securities
Payment of Dividends and Other Cash Distributions
Net Cash Flow from Financing
Net Cash Flow from Investing
Net Cash Flow Investment Acquisitions and Disposals
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..
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score 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 high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Sysco has Z Score of 4.2. This is 53.64% lower than that of the Consumer Defensive sector, and 10.64% lower than that of Food Distribution industry, The Z Score for all stocks is 51.83% higher than the company.
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The Macroaxis Fundamental Analysis modules help investors analyze Sysco's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sysco using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Sysco 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.
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