Digital Realty Trust Stock Analysis

Digital Stock Analysis Notes

About 100.0% of the company shares are held by institutions such as insurance companies. The book value of Digital Realty was currently reported as 61.22. The company has Price/Earnings To Growth (PEG) ratio of 2.32. Digital Realty Trust last dividend was issued on the 14th of March 2025. The entity had 1000:1005 split on the 14th of January 2015. Digital Realty supports the worlds leading enterprises and service providers by delivering the full spectrum of data center, colocation and interconnection solutions. Digital Realtys global data center footprint gives customers access to the connected communities that matter to them with more than 284 facilities in 48 metros across 23 countries on six continents. Digital Realty operates under REITSpecialty classification in the United States and is traded on New York Stock Exchange. It employs 3030 people. To learn more about Digital Realty Trust call A Stein at 737 281 0101 or check out https://www.digitalrealty.com.

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Digital Realty Environmental, Social, and Governance (ESG) Scores

Digital Stock Institutional Investors

Note, although Digital Realty's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Digital Market Capitalization

The company currently falls under 'Large-Cap' category with a total capitalization of 53.3 B.

Digital Profitablity

The company has Net Profit Margin of 0.11 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.16 %, which entails that for every 100 dollars of revenue, it generated $0.16 of operating income.

Management Efficiency

At this time, Digital Realty's Return On Tangible Assets are relatively stable compared to the past year. As of 03/25/2025, Return On Assets is likely to grow to 0.02, while Return On Capital Employed is likely to drop 0.01. At this time, Digital Realty's Debt To Assets are relatively stable compared to the past year. As of 03/25/2025, Fixed Asset Turnover is likely to grow to 4.95, while Net Tangible Assets are likely to drop slightly above 5.1 B. Digital Realty's management efficiency ratios could be used to measure how well Digital Realty manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

As of the 25th of March, Digital Realty shows the Variance of 4.6, mean deviation of 1.52, and Standard Deviation of 2.15. Digital Realty Trust technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Digital Realty Trust mean deviation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Digital Realty Trust is priced favorably, providing market reflects its regular price of 155.49 per share. Given that Digital Realty has information ratio of (0.1), we urge you to verify Digital Realty Trust's prevailing market performance to make sure the company can sustain itself at a future point.

Digital Realty Trust Price Movement Analysis

Digital Realty Trust Insider Trading Activities

Digital Realty Outstanding Bonds

Digital Realty Predictive Daily Indicators

Digital Realty Corporate Filings

Digital Realty Forecast Models

Digital Realty's time-series forecasting models are one of many Digital Realty'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 Digital Realty'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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Digital Realty 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 Digital 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 Digital Realty. By using and applying Digital Stock analysis, traders can create a robust methodology for identifying Digital entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Digital analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Digital analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Digital Realty Trust stock analysis indicators help investors evaluate how Digital Realty stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Digital Realty shares will generate the highest return on investment. By understating and applying Digital Realty stock analysis, traders can identify Digital Realty position entry and exit signals to maximize returns.

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