Sigma Lithium Total Debt vs. Number Of Shares Shorted
| SGML Stock | 16.10 0.06 0.37% |
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.39 | 0.44 |
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For Sigma Lithium profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Sigma Lithium to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Sigma Lithium Resources utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Sigma Lithium's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Sigma Lithium Resources over time as well as its relative position and ranking within its peers.
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Sigma Lithium Resources Number Of Shares Shorted vs. Total Debt Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Sigma Lithium's current stock value. Our valuation model uses many indicators to compare Sigma Lithium value to that of its competitors to determine the firm's financial worth. Sigma Lithium Resources is currently regarded number one company in total debt category among its peers. It is rated third in number of shares shorted category among its peers . The ratio of Total Debt to Number Of Shares Shorted for Sigma Lithium Resources is about 2,167 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Sigma Lithium's earnings, one of the primary drivers of an investment's value.Sigma Total Debt vs. Competition
Sigma Lithium Resources is currently regarded number one company in total debt category among its peers. Total debt of Materials industry is at this time estimated at about 32.86 Million. Sigma Lithium totals roughly 28.91 Million in total debt claiming about 88% of all equities under Materials industry.
Sigma Number Of Shares Shorted vs. Total Debt
Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Sigma Lithium |
| = | 28.91 M |
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
Sigma Lithium |
| = | 13.34 K |
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
Sigma Number Of Shares Shorted Comparison
Sigma Lithium is currently under evaluation in number of shares shorted category among its peers.
Sigma Lithium Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Sigma Lithium, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Sigma Lithium will eventually generate negative long term returns. The profitability progress is the general direction of Sigma Lithium's change in net profit over the period of time. It can combine multiple indicators of Sigma Lithium, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
| Last Reported | Projected for Next Year | ||
| Net Loss | -114.5 M | -108.8 M | |
| Net Interest Income | -15.7 M | -14.9 M | |
| Operating Income | -24.2 M | -25.4 M | |
| Net Loss | -38.2 M | -40.2 M | |
| Income Before Tax | -31.5 M | -33.1 M | |
| Total Other Income Expense Net | 8.4 M | 8.8 M | |
| Net Loss | -38.2 M | -40.2 M | |
| Interest Income | 3.4 M | 4.1 M | |
| Change To Netincome | 122.3 M | 128.4 M | |
| Net Loss | (0.35) | (0.37) | |
| Income Quality | 0.81 | 0.78 | |
| Net Income Per E B T | 1.21 | 1.29 |
Sigma Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Sigma Lithium. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Sigma Lithium position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Sigma Lithium's important profitability drivers and their relationship over time.
Use Sigma Lithium in pair-trading
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 Sigma Lithium 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 Sigma Lithium will appreciate offsetting losses from the drop in the long position's value.Sigma Lithium Pair Trading
Sigma Lithium Resources Pair Trading Analysis
The ability to find closely correlated positions to Sigma Lithium could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sigma Lithium 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 Sigma Lithium - 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 Sigma Lithium Resources to buy it.
The correlation of Sigma Lithium 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 Sigma Lithium moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sigma Lithium Resources 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 Sigma Lithium 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.Use Investing Themes to Complement your Sigma Lithium position
In addition to having Sigma Lithium in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Aggressive Funds Thematic Idea Now
Aggressive Funds
Funds or Etfs that attempt to achieve high capital gains by investing in companies with high growth potential and above average risk. The Aggressive Funds theme has 43 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Aggressive Funds Theme or any other thematic opportunities.
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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.