S IMMO (Austria) Analysis
| SPI Stock | EUR 22.20 0.10 0.45% |
S IMMO AG is fairly valued with Real Value of 22.2 and Hype Value of 22.2. The main objective of S IMMO stock analysis is to determine its intrinsic value, which is an estimate of what S IMMO AG is worth, separate from its market price. There are two main types of S IMMO's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect S IMMO's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of S IMMO's stock to identify patterns and trends that may indicate its future price movements.
The S IMMO stock is traded in Austria on Vienna Exchange, with the market opening at 08:55:00 and closing at 17:35:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Austria. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and S IMMO's ongoing operational relationships across important fundamental and technical indicators.
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SPI Stock Analysis Notes
About 88.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.5. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. S IMMO AG last dividend was issued on the 8th of June 2022. The entity had 20:1 split on the 28th of June 2002. To find out more about S IMMO AG contact the company at 43 1 22795 1112 or learn more at https://www.simmoag.at.S IMMO AG Investment Alerts
| S IMMO AG generated a negative expected return over the last 90 days | |
| About 88.0% of the company outstanding shares are owned by corporate insiders |
SPI Market Capitalization
The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.02 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate S IMMO's market, we take the total number of its shares issued and multiply it by S IMMO's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.SPI Profitablity
S IMMO's profitability indicators refer to fundamental financial ratios that showcase S IMMO's ability to generate income relative to its revenue or operating costs. If, let's say, S IMMO is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, S IMMO's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of S IMMO's profitability requires more research than a typical breakdown of S IMMO's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.69 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.37 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.37. Technical Drivers
As of the 3rd of December, S IMMO has the Standard Deviation of 0.6058, market risk adjusted performance of (1.05), and Risk Adjusted Performance of (0.06). In respect to fundamental indicators, the technical analysis model makes it possible for you to check timely technical drivers of S IMMO AG, as well as the relationship between them.S IMMO AG Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. S IMMO middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for S IMMO AG. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
S IMMO Outstanding Bonds
S IMMO issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. S IMMO AG uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most SPI bonds can be classified according to their maturity, which is the date when S IMMO AG has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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S IMMO Predictive Daily Indicators
S IMMO intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of S IMMO stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
S IMMO Forecast Models
S IMMO's time-series forecasting models are one of many S IMMO's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary S IMMO's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding S IMMO to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for SPI Stock analysis
When running S IMMO's price analysis, check to measure S IMMO'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 S IMMO is operating at the current time. Most of S IMMO's value examination focuses on studying past and present price action to predict the probability of S IMMO's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S IMMO's price. Additionally, you may evaluate how the addition of S IMMO to your portfolios can decrease your overall portfolio volatility.
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