This module uses fundamental data of Digital Realty to approximate its Piotroski F score. Digital Realty F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Digital Realty Trust. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Digital Realty financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Digital Realty Trust. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Digital
Piotroski F Score
Change In Cash
Stock Based Compensation
Free Cash Flow
Change In Working Capital
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Dividends Paid
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Other Cashflows From Investing Activities
Begin Period Cash Flow
Sale Purchase Of Stock
Total Cashflows From Investing Activities
Investments
Net Borrowings
Change To Operating Activities
Change To Netincome
Change To Liabilities
Change To Inventory
Total Assets
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Net Debt
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Cash
Non Current Assets Total
Non Currrent Assets Other
Other Assets
Cash And Short Term Investments
Net Receivables
Common Stock Shares Outstanding
Non Current Liabilities Total
Other Current Assets
Other Stockholder Equity
Total Liab
Total Current Assets
Intangible Assets
Common Stock
Short Long Term Debt Total
Liabilities And Stockholders Equity
Inventory
Accumulated Other Comprehensive Income
Short Term Debt
Current Deferred Revenue
Retained Earnings
Good Will
Short Term Investments
Long Term Debt
Capital Surpluse
Property Plant Equipment
Other Liab
Net Tangible Assets
Deferred Long Term Liab
Depreciation And Amortization
Selling General Administrative
Selling And Marketing Expenses
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Cost Of Revenue
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Tax Provision
Interest Income
Interest Expense
Research Development
Net Income Applicable To Common Shares
Minority Interest
Probability Of Bankruptcy
At this time, Digital Realty's Net Debt is comparatively stable compared to the past year. Short and Long Term Debt Total is likely to gain to about 20.2 B in 2024, whereas Long Term Debt is likely to drop slightly above 10.8 B in 2024.
At this time, it appears that Digital Realty's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
The critical factor to consider when applying the Piotroski F Score to Digital Realty is to make sure Digital is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Digital Realty's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Digital Realty's financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Digital Realty's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Digital Realty in a much-optimized way.
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Net Debt
18.51 Billion
At this time, Digital Realty's Net Debt is comparatively stable compared to the past year.
About Digital Realty Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Digital Realty Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Digital Realty using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Digital Realty Trust 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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.