Alliance Data Systems Stock Current Liabilities
Alliance Data Systems fundamentals help investors to digest information that contributes to Alliance Data's financial success or failures. It also enables traders to predict the movement of Alliance Stock. The fundamental analysis module provides a way to measure Alliance Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Alliance Data stock.
Alliance |
Alliance Data Systems Company Current Liabilities Analysis
Alliance Data's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.
Current Alliance Data Current Liabilities | 6.4 B |
Most of Alliance Data's fundamental indicators, such as Current Liabilities, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Alliance Data Systems is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
CompetitionIn accordance with the recently published financial statements, Alliance Data Systems has a Current Liabilities of 6.4 B. This is 154.05% higher than that of the Financial Services sector and 80.59% lower than that of the Credit Services industry. The current liabilities for all United States stocks is 18.97% higher than that of the company.
Alliance Current Liabilities Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Alliance Data's direct or indirect competition against its Current Liabilities to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Alliance Data could also be used in its relative valuation, which is a method of valuing Alliance Data by comparing valuation metrics of similar companies.Alliance Data is currently under evaluation in current liabilities category among related companies.
Alliance Fundamentals
| Return On Equity | 49.14 | |||
| Return On Asset | 3.83 | |||
| Profit Margin | 18.47 % | |||
| Operating Margin | 33.75 % | |||
| Current Valuation | 17.84 B | |||
| Shares Outstanding | 49.79 M | |||
| Shares Owned By Insiders | 0.44 % | |||
| Shares Owned By Institutions | 94.71 % | |||
| Number Of Shares Shorted | 3.46 M | |||
| Price To Earning | 3.54 X | |||
| Price To Book | 1.26 X | |||
| Price To Sales | 0.66 X | |||
| Revenue | 4.31 B | |||
| Gross Profit | 707.1 M | |||
| EBITDA | 1.45 B | |||
| Net Income | 876.7 M | |||
| Cash And Equivalents | 3.17 B | |||
| Cash Per Share | 63.72 X | |||
| Total Debt | 17.48 B | |||
| Debt To Equity | 7.78 % | |||
| Current Ratio | 1.50 X | |||
| Book Value Per Share | 45.09 X | |||
| Cash Flow From Operations | 1.6 B | |||
| Short Ratio | 3.95 X | |||
| Earnings Per Share | 16.04 X | |||
| Price To Earnings To Growth | 0.23 X | |||
| Number Of Employees | 8 K | |||
| Beta | 2.35 | |||
| Market Capitalization | 2.83 B | |||
| Total Asset | 22.35 B | |||
| Retained Earnings | 4.3 B | |||
| Working Capital | 9.85 B | |||
| Current Asset | 16.25 B | |||
| Current Liabilities | 6.4 B | |||
| Five Year Return | 1.66 % | |||
| Last Dividend Paid | 0.84 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alliance Data in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alliance Data's short interest history, or implied volatility extrapolated from Alliance Data options trading.
Pair Trading with Alliance Data
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 Alliance Data 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 Alliance Data will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Ralph Lauren could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ralph Lauren 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 Ralph Lauren - 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 Ralph Lauren Corp to buy it.
The correlation of Ralph Lauren 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 Ralph Lauren moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ralph Lauren Corp 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 Ralph Lauren 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.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. Note that the Alliance Data Systems information on this page should be used as a complementary analysis to other Alliance Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Other Consideration for investing in Alliance Stock
If you are still planning to invest in Alliance Data Systems check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Alliance Data's history and understand the potential risks before investing.
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