| GENM Stock | | | CAD 0.14 0.02 12.50% |
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 Generation Mining. 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.
As of the 21st of December 2024,
Total Debt To Capitalization is likely to grow to 0.15, though
Net Invested Capital is likely to grow to (27.9
M). At this time, Generation Mining's
Selling General Administrative is very stable compared to the past year. As of the 21st of December 2024,
Selling And Marketing Expenses is likely to grow to about 19.8
M, while
Depreciation And Amortization is likely to drop about 909
K.
Generation Mining Company Z Score Analysis
Generation Mining's 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..
| 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 ) |
|
Generation Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Generation Mining is extremely important. It helps to project a fair market value of Generation Stock properly, considering its historical
fundamentals such as Z Score. Since Generation Mining'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 Generation Mining'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 Generation Mining's interrelated accounts and indicators.
Click cells to compare fundamentals
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, Generation Mining has a Z Score of 0.0. This is 100.0% lower than that of the Metals & Mining sector and about the same as
Materials (which currently averages 0.0) industry. The z score for all Canada stocks is 100.0% higher than that of the company.
Generation Mining Current Valuation Drivers
We derive many important indicators used in calculating different scores of Generation Mining from analyzing Generation Mining's financial statements. These drivers represent accounts that assess Generation Mining's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Generation Mining's important valuation drivers and their relationship over time.
Generation Fundamentals
About Generation Mining Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Generation Mining's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Generation Mining using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Generation Mining 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.
Other Information on Investing in Generation Stock
Generation Mining financial ratios help investors to determine whether Generation 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 Generation with respect to the benefits of owning Generation Mining security.