Warehouses (Germany) Analysis

WPHB Stock  EUR 19.75  0.37  1.84%   
Warehouses De Pauw is undervalued with Real Value of 20.89 and Hype Value of 19.75. The main objective of Warehouses stock analysis is to determine its intrinsic value, which is an estimate of what Warehouses De Pauw is worth, separate from its market price. There are two main types of Warehouses' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Warehouses' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Warehouses' stock to identify patterns and trends that may indicate its future price movements.
The Warehouses stock is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Warehouses' ongoing operational relationships across important fundamental and technical indicators.
  
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Warehouses De Pauw. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.

Warehouses Stock Analysis Notes

About 22.0% of the company outstanding shares are owned by insiders. The company has Price to Book (P/B) ratio of 1.35. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. Warehouses De Pauw has Price/Earnings To Growth (PEG) ratio of 2.94. The entity last dividend was issued on the 27th of April 2023. The firm had 7:1 split on the 2nd of January 2020. WDP develops and invests in logistics property . This international portfolio of semi-industrial and logistics buildings is spread over around 250 sites at prime logistics locations for storage and distribution in Belgium, France, the Netherlands, Luxembourg, Germany and Romania. WAREHOUSES operates under REITIndustrial classification in Germany and is traded on Frankfurt Stock Exchange. It employs 82 people. For more information please call Tony Pauw at 32 5 233 84 00 or visit https://www.wdp.eu.

Warehouses De Pauw Investment Alerts

Warehouses De Pauw generated a negative expected return over the last 90 days
Warehouses De Pauw has accumulated 1.89 B in total debt with debt to equity ratio (D/E) of 0.73, which is about average as compared to similar companies. Warehouses De Pauw has a current ratio of 0.14, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Warehouses until it has trouble settling it off, either with new capital or with free cash flow. So, Warehouses' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Warehouses De Pauw sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Warehouses to invest in growth at high rates of return. When we think about Warehouses' use of debt, we should always consider it together with cash and equity.
About 22.0% of Warehouses outstanding shares are owned by insiders

Warehouses Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 5.72 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Warehouses's market, we take the total number of its shares issued and multiply it by Warehouses'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.

Warehouses Profitablity

Warehouses' profitability indicators refer to fundamental financial ratios that showcase Warehouses' ability to generate income relative to its revenue or operating costs. If, let's say, Warehouses is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Warehouses' 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 Warehouses' profitability requires more research than a typical breakdown of Warehouses' 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 0.89 %, 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 0.8 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.8.

Technical Drivers

As of the 12th of December 2024, Warehouses maintains the Standard Deviation of 1.46, market risk adjusted performance of (0.95), and Mean Deviation of 1.1. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Warehouses De Pauw, as well as the relationship between them. Please check out Warehouses De Pauw mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Warehouses De Pauw is priced fairly, providing market reflects its latest price of 19.75 per share.

Warehouses De Pauw Price Movement Analysis

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The output start index for this execution was fourty-one with a total number of output elements of twenty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Warehouses 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 Warehouses De Pauw. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Warehouses Outstanding Bonds

Warehouses 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. Warehouses De Pauw 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 Warehouses bonds can be classified according to their maturity, which is the date when Warehouses De Pauw 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.

Warehouses Predictive Daily Indicators

Warehouses 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 Warehouses 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.

Warehouses Forecast Models

Warehouses' time-series forecasting models are one of many Warehouses' 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 Warehouses' 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.

About Warehouses Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how Warehouses prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Warehouses shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Warehouses. By using and applying Warehouses Stock analysis, traders can create a robust methodology for identifying Warehouses entry and exit points for their positions.
WDP develops and invests in logistics property . This international portfolio of semi-industrial and logistics buildings is spread over around 250 sites at prime logistics locations for storage and distribution in Belgium, France, the Netherlands, Luxembourg, Germany and Romania. WAREHOUSES operates under REITIndustrial classification in Germany and is traded on Frankfurt Stock Exchange. It employs 82 people.

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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 Warehouses to your portfolios without increasing risk or reducing expected return.

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