Bluelinea Total Debt vs. Z Score
| ALBLU Stock | EUR 0.90 0.03 3.45% |
For Bluelinea profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Bluelinea to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Bluelinea SA utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Bluelinea's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Bluelinea SA over time as well as its relative position and ranking within its peers.
Bluelinea |
Bluelinea SA Z Score vs. Total Debt Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Bluelinea's current stock value. Our valuation model uses many indicators to compare Bluelinea value to that of its competitors to determine the firm's financial worth. Bluelinea SA is rated second in total debt category among its peers. It also is rated second in z score category among its peers . The ratio of Total Debt to Z Score for Bluelinea SA is about 1,658,229 . 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 Bluelinea's earnings, one of the primary drivers of an investment's value.Bluelinea Total Debt vs. Competition
Bluelinea SA is rated second in total debt category among its peers. Total debt of Health Care industry is presently estimated at about 15.12 Million. Bluelinea totals roughly 3.98 Million in total debt claiming about 26% of equities under Health Care industry.
Bluelinea Z Score 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.
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| = | 3.98 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.
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..
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| = | 2.4 |
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.
Bluelinea Z Score Comparison
Bluelinea is currently under evaluation in z score category among its peers.
Bluelinea Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Bluelinea, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Bluelinea will eventually generate negative long term returns. The profitability progress is the general direction of Bluelinea's change in net profit over the period of time. It can combine multiple indicators of Bluelinea, 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.
Bluelinea Socit Anonyme operates tele-monitoring platform to provide healthcare facilities and home support services to fragile and dependent people in France. The company was founded in 2006 and is headquartered in Elancourt, France. BLUELINEA is traded on Paris Stock Exchange in France.
Bluelinea Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Bluelinea. 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 Bluelinea 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 Bluelinea's important profitability drivers and their relationship over time.
Use Bluelinea 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 Bluelinea 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 Bluelinea will appreciate offsetting losses from the drop in the long position's value.Bluelinea Pair Trading
Bluelinea SA Pair Trading Analysis
The ability to find closely correlated positions to Bluelinea could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bluelinea 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 Bluelinea - 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 Bluelinea SA to buy it.
The correlation of Bluelinea 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 Bluelinea moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bluelinea SA 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 Bluelinea 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 Bluelinea position
In addition to having Bluelinea 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?
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Large Cap ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Large Cap ETFs theme has 676 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 Large Cap ETFs Theme or any other thematic opportunities.
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Additional Tools for Bluelinea Stock Analysis
When running Bluelinea's price analysis, check to measure Bluelinea'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 Bluelinea is operating at the current time. Most of Bluelinea's value examination focuses on studying past and present price action to predict the probability of Bluelinea's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bluelinea's price. Additionally, you may evaluate how the addition of Bluelinea to your portfolios can decrease your overall portfolio volatility.