| SGML Stock | | | 19.42 0.08 0.41% |
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 Sigma Lithium 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 bureau of economic analysis.
At this time, Sigma Lithium's
Net Invested Capital is fairly stable compared to the past year.
Net Working Capital is likely to climb to about 37
M in 2024, despite the fact that
Change In Working Capital is likely to grow to (56.1
M). At this time, Sigma Lithium's
Interest Expense is fairly stable compared to the past year.
Selling General Administrative is likely to climb to about 109.3
M in 2024, despite the fact that
Net Loss is likely to grow to (108.8
M).
Sigma Lithium Resources Company Z Score Analysis
Sigma Lithium'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 ) |
|
Sigma Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Sigma Lithium is extremely important. It helps to project a fair market value of Sigma Stock properly, considering its historical
fundamentals such as Z Score. Since Sigma Lithium'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 Sigma Lithium'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 Sigma Lithium'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.
Based on the company's disclosures, Sigma Lithium Resources 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.
Sigma Lithium Current Valuation Drivers
We derive many important indicators used in calculating different scores of Sigma Lithium from analyzing Sigma Lithium's financial statements. These drivers represent accounts that assess Sigma Lithium's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Sigma Lithium's important valuation drivers and their relationship over time.
Sigma Fundamentals
About Sigma Lithium Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sigma Lithium Resources's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sigma Lithium using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Sigma Lithium 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.
Please read more on our
fundamental analysis page.
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.
Additional Tools for Sigma Stock Analysis
When running Sigma Lithium's price analysis, check to
measure Sigma Lithium's 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 Sigma Lithium is operating at the current time. Most of Sigma Lithium's value examination focuses on studying past and present price action to
predict the probability of Sigma Lithium's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sigma Lithium's price. Additionally, you may evaluate how the addition of Sigma Lithium to your portfolios can decrease your overall portfolio volatility.