Digital Total Operating Expenses vs Income Before Tax Analysis
DLR Stock | USD 142.83 1.34 0.95% |
Digital Realty financial indicator trend analysis is much more than just examining Digital Realty Trust latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Digital Realty Trust is a good investment. Please check the relationship between Digital Realty Total Operating Expenses and its Income Before Tax accounts. Check out Investing Opportunities 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 tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis.
Total Operating Expenses vs Income Before Tax
Total Operating Expenses vs Income Before Tax Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Digital Realty Trust Total Operating Expenses account and Income Before Tax. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Digital Realty's Total Operating Expenses and Income Before Tax is 0.43. Overlapping area represents the amount of variation of Total Operating Expenses that can explain the historical movement of Income Before Tax in the same time period over historical financial statements of Digital Realty Trust, assuming nothing else is changed. The correlation between historical values of Digital Realty's Total Operating Expenses and Income Before Tax is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Operating Expenses of Digital Realty Trust are associated (or correlated) with its Income Before Tax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Before Tax has no effect on the direction of Total Operating Expenses i.e., Digital Realty's Total Operating Expenses and Income Before Tax go up and down completely randomly.
Correlation Coefficient | 0.43 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Total Operating Expenses
The total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses.Income Before Tax
Income Before Tax which can also be referred as pre-tax income is reported on Digital Realty income statement and is an important metric when analyzing Digital Realty Trust profitability. Accounting techniques because taxes can be complex, and not perfectly consistent from one company to company, an analyst may use pre-tax income as a more stable measure of profitability.Most indicators from Digital Realty's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Digital Realty Trust current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities 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 tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. At this time, Digital Realty's Selling General Administrative is relatively stable compared to the past year. As of 04/29/2024, Sales General And Administrative To Revenue is likely to grow to 0.09, while Issuance Of Capital Stock is likely to drop slightly above 939.1 M.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 2.7B | 2.7B | 1.2B | 1.1B | Total Revenue | 4.4B | 4.7B | 5.5B | 5.8B |
Digital Realty fundamental ratios Correlations
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Digital Realty Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Digital Realty fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 23.1B | 36.1B | 36.4B | 41.5B | 44.1B | 46.3B | |
Short Long Term Debt Total | 10.8B | 14.8B | 15.0B | 18.1B | 19.0B | 19.9B | |
Total Current Liabilities | 1.5B | 2.8B | 2.3B | 4.4B | 4.8B | 5.1B | |
Total Stockholder Equity | 9.9B | 17.7B | 18.0B | 17.6B | 19.1B | 20.1B | |
Other Liab | 148.8M | 130.9M | 666.5M | 1.2B | 1.4B | 1.4B | |
Net Debt | 10.7B | 14.7B | 14.8B | 17.9B | 17.3B | 18.2B | |
Accounts Payable | 1.0B | 2.0B | 1.5B | 1.9B | 2.2B | 2.3B | |
Cash | 89.8M | 108.5M | 142.7M | 141.8M | 1.6B | 1.7B | |
Other Assets | 17.1B | 448.1M | 26.9B | 710.0M | (1K) | (950.0) | |
Long Term Debt | 9.1B | 12.8B | 13.1B | 16.6B | 15.6B | 16.4B | |
Common Stock Shares Outstanding | 209.5M | 262.5M | 283.2M | 297.9M | 309.1M | 324.5M | |
Liabilities And Stockholders Equity | 23.1B | 36.1B | 36.4B | 41.5B | 44.1B | 46.3B | |
Other Stockholder Equity | 11.6B | 20.6B | 21.1B | 22.1B | 29.7B | 31.1B | |
Total Liab | 12.4B | 17.6B | 17.8B | 21.9B | 23.1B | 24.3B | |
Short Term Debt | 234.1M | 531.9M | 398.2M | 2.2B | 1.8B | 1.9B | |
Property Plant And Equipment Net | 628.7M | 1.4B | 1.4B | 1.4B | 1.4B | 1.3B | |
Non Current Assets Total | 22.4B | 35.4B | 35.6B | 40.4B | 40.7B | 42.8B | |
Non Currrent Assets Other | 184.6M | 221.2M | 359.5M | 24.7B | 27.6B | 28.9B | |
Cash And Short Term Investments | 89.8M | 108.5M | 142.7M | 141.8M | 1.6B | 1.7B | |
Net Receivables | 305.5M | 603.1M | 671.7M | 969.3M | 1.3B | 1.3B | |
Non Current Liabilities Total | 10.9B | 14.7B | 15.6B | 17.5B | 18.3B | 19.2B | |
Total Current Assets | 625.3M | 711.6M | 814.4M | 1.1B | 3.4B | 3.6B | |
Accumulated Other Comprehensive Income | (87.9M) | 135.0M | (173.9M) | (595.8M) | (6.0B) | (5.7B) | |
Other Current Liab | 2.7M | (47.3M) | 2.2M | (5.9M) | 427.0M | 448.3M | |
Retained Earnings | (3.0B) | (4.0B) | (3.6B) | (4.7B) | (5.3B) | (5.0B) | |
Common Stock Total Equity | 2.1M | 2.1M | 2.8M | 2.8M | 3.2M | 3.4M | |
Common Stock | 2.1M | 2.8M | 2.8M | 2.9M | 3.1M | 1.6M | |
Short Term Investments | 20.1M | 2.4M | 20.8B | 17.1M | 8.5M | 8.1M | |
Other Current Assets | (395.3M) | (711.6M) | (1.4B) | (1.7B) | (2.9B) | (2.8B) | |
Intangible Assets | 2.3B | 3.2B | 2.7B | 3.1B | 2.5B | 1.8B | |
Inventory | (19.0M) | (20.1M) | (2.4M) | 1.7B | (8.5M) | (8.1M) | |
Net Tangible Assets | 5.1B | 8.5B | 9.4B | 4.8B | 5.5B | 5.1B | |
Property Plant Equipment | 14.7B | 21.7B | 22.0B | 25.1B | 28.9B | 30.3B | |
Noncontrolling Interest In Consolidated Entity | 999.6M | 728.8M | 728.6M | 472.2M | 543.1M | 380.4M | |
Good Will | 3.4B | 8.3B | 7.9B | 9.2B | 9.2B | 9.7B | |
Retained Earnings Total Equity | (2.6B) | (3.0B) | (4.0B) | (3.6B) | (3.3B) | (3.1B) |
Pair Trading with Digital Realty
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Digital Realty position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Digital Realty will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Digital Realty could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digital Realty when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Digital Realty - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Digital Realty Trust to buy it.
The correlation of Digital Realty is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Digital Realty moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digital Realty Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Digital Realty can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Investing Opportunities 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 tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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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.
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Is Digital Realty's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Digital Realty. If investors know Digital will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Digital Realty listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 2.097 | Dividend Share 4.88 | Earnings Share 3 | Revenue Per Share 18.243 | Quarterly Revenue Growth 0.112 |
The market value of Digital Realty Trust is measured differently than its book value, which is the value of Digital that is recorded on the company's balance sheet. Investors also form their own opinion of Digital Realty's value that differs from its market value or its book value, called intrinsic value, which is Digital Realty's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Digital Realty's market value can be influenced by many factors that don't directly affect Digital Realty's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Digital Realty's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Realty is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital Realty's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.