Alliance Data Systems Stock Earnings Per Share

LID Stock  EUR 59.02  0.72  1.23%   
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.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Alliance Data Systems Company Earnings Per Share Analysis

Alliance Data's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.

Earnings per Share

 = 

Earnings

Average Shares

More About Earnings Per Share | All Equity Analysis
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
According to the company disclosure, Alliance Data Systems has an Earnings Per Share of 0.0 times. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Earnings Per Share (which currently averages 0.0) industry. This indicator is about the same for all Germany stocks average (which is currently at 0.0).

Did you try this?

Run Portfolio Optimization Now

   

Portfolio Optimization

Compute new portfolio that will generate highest expected return given your specified tolerance for risk
All  Next Launch Module

About Alliance Data Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Alliance Data Systems's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alliance Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alliance Data Systems 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.

Thematic Opportunities

Explore Investment Opportunities

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.
Explore Investing Ideas  

Additional Tools for Alliance Stock Analysis

When running Alliance Data's price analysis, check to measure Alliance Data'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 Alliance Data is operating at the current time. Most of Alliance Data's value examination focuses on studying past and present price action to predict the probability of Alliance Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alliance Data's price. Additionally, you may evaluate how the addition of Alliance Data to your portfolios can decrease your overall portfolio volatility.