Digital Price To Book Ratio from 2010 to 2024
| DLR Stock | USD 178.57 1.76 1.00% |
Price To Book Ratio | First Reported 2010-12-31 | Previous Quarter 2.10204892 | Current Value 1.71 | Quarterly Volatility 0.4140593 |
Check Digital Realty financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Digital Realty's main balance sheet or income statement drivers, such as Depreciation And Amortization of 986.4 M, Interest Expense of 459.6 M or Total Revenue of 5.8 B, as well as many indicators such as Price To Sales Ratio of 4.94, Dividend Yield of 0.0651 or PTB Ratio of 1.71. Digital financial statements analysis is a perfect complement when working with Digital Realty Valuation or Volatility modules.
Digital | Price To Book Ratio |
Latest Digital Realty's Price To Book Ratio Growth Pattern
Below is the plot of the Price To Book Ratio of Digital Realty Trust over the last few years. It is a ratio used to compare a firm's market value to its book value, calculated by dividing the current closing price of the stock by the latest quarter's book value per share. Digital Realty's Price To Book Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Digital Realty's overall financial position and show how it may be relating to other accounts over time.
| Price To Book Ratio | 10 Years Trend |
|
Price To Book Ratio |
| Timeline |
Digital Price To Book Ratio Regression Statistics
| Arithmetic Mean | 2.26 | |
| Geometric Mean | 2.22 | |
| Coefficient Of Variation | 18.32 | |
| Mean Deviation | 0.33 | |
| Median | 2.26 | |
| Standard Deviation | 0.41 | |
| Sample Variance | 0.17 | |
| Range | 1.2585 | |
| R-Value | (0.43) | |
| Mean Square Error | 0.15 | |
| R-Squared | 0.19 | |
| Significance | 0.11 | |
| Slope | (0.04) | |
| Total Sum of Squares | 2.40 |
Digital Price To Book Ratio History
About Digital Realty Financial Statements
Digital Realty shareholders use historical fundamental indicators, such as Price To Book Ratio, to determine how well the company is positioned to perform in the future. Although Digital Realty investors may analyze each financial statement separately, they are all interrelated. The changes in Digital Realty's assets and liabilities, for example, are also reflected in the revenues and expenses on on Digital Realty's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Price To Book Ratio | 2.10 | 1.71 |
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.Moving against Digital Stock
| 0.84 | WHLR | Wheeler Real Estate | PairCorr |
| 0.75 | O | Realty Income | PairCorr |
| 0.67 | FR | First Industrial Realty | PairCorr |
| 0.62 | WY | Weyerhaeuser Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.5 | ELME | Elme Communities | PairCorr |
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.Additional Tools for Digital Stock Analysis
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.