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 Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Goliath Resources. 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.
Goliath
Z Score
Market Cap
Enterprise Value
Price To Sales Ratio
Ptb Ratio
Days Sales Outstanding
Book Value Per Share
Free Cash Flow Yield
Operating Cash Flow Per Share
Pb Ratio
Ev To Sales
Free Cash Flow Per Share
Roic
Net Income Per Share
Sales General And Administrative To Revenue
Cash Per Share
Pocfratio
Interest Coverage
Pfcf Ratio
Income Quality
Roe
Ev To Operating Cash Flow
Pe Ratio
Return On Tangible Assets
Ev To Free Cash Flow
Earnings Yield
Net Debt To E B I T D A
Current Ratio
Tangible Book Value Per Share
Receivables Turnover
Graham Number
Shareholders Equity Per Share
Graham Net Net
Average Receivables
Revenue Per Share
Interest Debt Per Share
Enterprise Value Over E B I T D A
Price Earnings Ratio
Operating Cycle
Price Book Value Ratio
Price Earnings To Growth Ratio
Price To Operating Cash Flows Ratio
Price To Free Cash Flows Ratio
Ebt Per Ebit
Operating Profit Margin
Effective Tax Rate
Company Equity Multiplier
Return On Capital Employed
Ebit Per Revenue
Quick Ratio
Net Income Per E B T
Cash Ratio
Operating Cash Flow Sales Ratio
Days Of Sales Outstanding
Price To Book Ratio
Price Cash Flow Ratio
Enterprise Value Multiple
Price Sales Ratio
Return On Assets
Net Profit Margin
Price Fair Value
Return On Equity
Change In Cash
Free Cash Flow
Change In Working Capital
Other Cashflows From Financing Activities
Capital Expenditures
Total Cash From Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Begin Period Cash Flow
Other Non Cash Items
Stock Based Compensation
Total Cashflows From Investing Activities
Change To Account Receivables
Change To Netincome
Change To Liabilities
Investments
Issuance Of Capital Stock
Total Assets
Total Current Liabilities
Total Stockholder Equity
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Cash And Short Term Investments
Net Receivables
Common Stock Shares Outstanding
Liabilities And Stockholders Equity
Other Stockholder Equity
Total Liab
Total Current Assets
Other Current Liab
Other Current Assets
Common Stock
Net Tangible Assets
Short Term Investments
Net Invested Capital
Net Working Capital
Capital Stock
Property Plant And Equipment Net
Property Plant And Equipment Gross
Other Operating Expenses
Operating Income
Ebitda
Total Operating Expenses
Income Tax Expense
Interest Expense
Selling General Administrative
Income Before Tax
Depreciation And Amortization
Ebit
Total Other Income Expense Net
Net Interest Income
Interest Income
Net Income From Continuing Ops
Net Income Applicable To Common Shares
Probability Of Bankruptcy
At this time, Goliath Resources' Net Invested Capital is fairly stable compared to the past year. Net Working Capital is likely to climb to about 5.1 M in 2025, whereas Issuance Of Capital Stock is likely to drop slightly above 8.4 M in 2025. At this time, Goliath Resources' Other Operating Expenses is fairly stable compared to the past year. Total Operating Expenses is likely to climb to about 35.3 M in 2025, despite the fact that EBITDA is likely to grow to (18.5 M).
Goliath Resources Company Z Score Analysis
Goliath Resources' 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 Goliath Resources is extremely important. It helps to project a fair market value of Goliath Stock properly, considering its historical fundamentals such as Z Score. Since Goliath Resources' 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 Goliath Resources' 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 Goliath Resources' 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.
According to the company's disclosures, Goliath Resources has a Z Score of 0.0. This is 100.0% lower than that of the Metals & Mining 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.
Goliath Resources Current Valuation Drivers
We derive many important indicators used in calculating different scores of Goliath Resources from analyzing Goliath Resources' financial statements. These drivers represent accounts that assess Goliath Resources' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Goliath Resources' important valuation drivers and their relationship over time.
The Macroaxis Fundamental Analysis modules help investors analyze Goliath Resources's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Goliath Resources using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Goliath Resources 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.
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.
When running Goliath Resources' price analysis, check to measure Goliath Resources' 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 Goliath Resources is operating at the current time. Most of Goliath Resources' value examination focuses on studying past and present price action to predict the probability of Goliath Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Goliath Resources' price. Additionally, you may evaluate how the addition of Goliath Resources to your portfolios can decrease your overall portfolio volatility.