Digital Inventory Turnover vs Capex To Revenue Analysis
DLR Stock | USD 195.69 0.41 0.21% |
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 Inventory Turnover and its Capex To Revenue 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 closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.
Inventory Turnover vs Capex To Revenue
Inventory Turnover vs Capex To Revenue Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Digital Realty Trust Inventory Turnover account and Capex To Revenue. At this time, the significance of the direction appears to have very week relationship.
The correlation between Digital Realty's Inventory Turnover and Capex To Revenue is 0.26. Overlapping area represents the amount of variation of Inventory Turnover that can explain the historical movement of Capex To Revenue 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 Inventory Turnover and Capex To Revenue is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Inventory Turnover of Digital Realty Trust are associated (or correlated) with its Capex To Revenue. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Capex To Revenue has no effect on the direction of Inventory Turnover i.e., Digital Realty's Inventory Turnover and Capex To Revenue go up and down completely randomly.
Correlation Coefficient | 0.26 |
Relationship Direction | Positive |
Relationship Strength | Very Weak |
Inventory Turnover
A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.Capex To Revenue
The ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets.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 closely tied 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 12/01/2024, 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 | 2.9B | 3.0B | Total Revenue | 4.4B | 4.7B | 5.5B | 5.8B |
Digital Realty fundamental ratios Correlations
Click cells to compare fundamentals
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 | 18.7B | 19.0B | 19.9B | |
Total Current Liabilities | 1.5B | 2.8B | 2.3B | 4.4B | 3.8B | 4.0B | |
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 | 1.4B | 1.5B | 1.9B | 1.7B | 1.8B | |
Cash | 89.8M | 108.5M | 142.7M | 141.8M | 1.6B | 1.7B | |
Other Assets | 17.1B | 448.1M | 26.9B | 710.0M | 26.0B | 27.3B | |
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 | 24.4B | 25.6B | |
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 | 1.3B | 1.4B | |
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 | 14.7B | 14.1B | |
Non Currrent Assets Other | 184.6M | 221.2M | 359.5M | (16.8B) | (753.8M) | (716.1M) | |
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 | 19.3B | 20.2B | |
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 | 1.1B | 675.3M | (5.9M) | 828.9M | 870.3M | |
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) | 478.5M | 502.4M | |
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.Moving against Digital Stock
0.79 | FR | First Industrial Realty | PairCorr |
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0.51 | WHLR | Wheeler Real Estate | 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.