Swiss Life Holding Stock Net Income

SLHN Stock  CHF 725.40  8.20  1.12%   
Swiss Life Holding fundamentals help investors to digest information that contributes to Swiss Life's financial success or failures. It also enables traders to predict the movement of Swiss Stock. The fundamental analysis module provides a way to measure Swiss Life'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 Swiss Life stock.
  
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Swiss Life Holding Company Net Income Analysis

Swiss Life's Net income is the profit of a company for the reporting period, which is derived after taking revenues and gains and subtracting all expenses and losses. Net income is one of the most-watched numbers by money managers as well as individual investors.

Net Income

 = 

(Rev + Gain)

-

(Exp + Loss)

More About Net Income | All Equity Analysis

Current Swiss Life Net Income

    
  1.25 B  
Most of Swiss Life's fundamental indicators, such as Net Income, 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, Swiss Life Holding is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
Competition

Based on the recorded statements, Swiss Life Holding reported net income of 1.25 B. This is 2.38% lower than that of the Financial Services sector and significantly higher than that of the Insurance—Diversified industry. The net income for all Switzerland stocks is 118.4% lower than that of the firm.

Swiss Net Income Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Swiss Life's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Swiss Life could also be used in its relative valuation, which is a method of valuing Swiss Life by comparing valuation metrics of similar companies.
Swiss Life is rated fifth in net income category among its peers.

Swiss Fundamentals

About Swiss Life Fundamental Analysis

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

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Additional Tools for Swiss Stock Analysis

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