Empire Free Cash Flow vs Change To Liabilities Analysis
OGCP Stock | USD 10.85 0.25 2.36% |
Empire State financial indicator trend analysis is much more than just examining Empire State Realty latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Empire State Realty is a good investment. Please check the relationship between Empire State Free Cash Flow and its Change To Liabilities accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Empire State Realty. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.
Free Cash Flow vs Change To Liabilities
Free Cash Flow vs Change To Liabilities Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Empire State Realty Free Cash Flow account and Change To Liabilities. At this time, the significance of the direction appears to have weak relationship.
The correlation between Empire State's Free Cash Flow and Change To Liabilities is 0.31. Overlapping area represents the amount of variation of Free Cash Flow that can explain the historical movement of Change To Liabilities in the same time period over historical financial statements of Empire State Realty, assuming nothing else is changed. The correlation between historical values of Empire State's Free Cash Flow and Change To Liabilities is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Free Cash Flow of Empire State Realty are associated (or correlated) with its Change To Liabilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Change To Liabilities has no effect on the direction of Free Cash Flow i.e., Empire State's Free Cash Flow and Change To Liabilities go up and down completely randomly.
Correlation Coefficient | 0.31 |
Relationship Direction | Positive |
Relationship Strength | Very Weak |
Free Cash Flow
The amount of cash a company generates after accounting for cash outflows to support operations and maintain its capital assets.Change To Liabilities
Most indicators from Empire State's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Empire State Realty 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 Your Equity Center to better understand how to build diversified portfolios, which includes a position in Empire State Realty. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. At this time, Empire State's Sales General And Administrative To Revenue is relatively stable compared to the past year. As of 11/22/2024, Enterprise Value Over EBITDA is likely to grow to 14.55, while Enterprise Value is likely to drop slightly above 2.1 B.
2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 94.4M | 101.2M | 109.3M | 78.7M | Depreciation And Amortization | 537.2M | 600.0M | 592.9M | 622.5M |
Empire State fundamental ratios Correlations
Click cells to compare fundamentals
Empire State Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Empire State fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Common Stock Shares Outstanding | 294.7M | 278.2M | 275.0M | 269.9M | 265.6M | 229.0M | |
Total Assets | 3.9B | 4.2B | 4.3B | 4.2B | 4.2B | 3.4B | |
Short Long Term Debt Total | 1.7B | 2.2B | 2.3B | 2.3B | 2.3B | 1.8B | |
Other Current Liab | (3.9M) | (419.9M) | (429.9M) | (41.6M) | (31.0M) | (32.6M) | |
Total Current Liabilities | 215.8M | 191.5M | 205.2M | 162.8M | 170.0M | 143.6M | |
Total Stockholder Equity | 1.9B | 1.7B | 1.7B | 1.7B | 985.5M | 1.3B | |
Current Deferred Revenue | 72.0M | 88.3M | 84.4M | 76.1M | 70.3M | 45.3M | |
Net Debt | 1.5B | 1.6B | 1.9B | 2.0B | 1.9B | 1.5B | |
Accounts Payable | 143.8M | 32.3M | 41.7M | 32.9M | 44.2M | 76.2M | |
Cash | 233.9M | 526.7M | 423.7M | 264.4M | 407.0M | 260.5M | |
Non Current Assets Total | 3.3B | 3.3B | 3.5B | 3.5B | 3.5B | 2.8B | |
Non Currrent Assets Other | 2.5B | 2.4B | 2.6B | 2.6B | 2.7B | 1.9B | |
Cash And Short Term Investments | 233.9M | 526.7M | 423.7M | 264.4M | 407.0M | 289.9M | |
Net Receivables | 246.4M | 244.0M | 243.6M | 264.3M | 295.5M | 178.8M | |
Liabilities And Stockholders Equity | 3.9B | 4.2B | 4.3B | 4.2B | 4.2B | 3.4B | |
Non Current Liabilities Total | 1.8B | 2.2B | 2.4B | 2.3B | 2.3B | 1.9B | |
Other Current Assets | (518.0M) | 118.4M | 127.5M | 85.8M | (702.4M) | (667.3M) | |
Other Stockholder Equity | 1.9B | 1.1B | 1.2B | 1.1B | 1.0B | 1.1B | |
Total Liab | 2.0B | 2.4B | 2.6B | 2.5B | 2.5B | 2.0B | |
Total Current Assets | 583.4M | 889.2M | 794.8M | 712.6M | 702.4M | 581.6M | |
Accumulated Other Comprehensive Income | (21.5M) | (28.3M) | (20.8M) | 7.0M | 6.0M | 6.3M | |
Retained Earnings | 15.8M | (65.7M) | (133.6M) | (109.5M) | (83.1M) | (79.0M) | |
Property Plant And Equipment Gross | 29.3M | 29.1M | 28.9M | 28.7M | 28.4M | 27.0M | |
Short Term Debt | 3.9M | 387.6M | 388.2M | (86.7M) | 86.5M | 97.1M | |
Intangible Assets | 352.6M | 344.7M | 336.9M | 329.1M | 321.2M | 303.1M | |
Common Stock | 1.8M | 1.7M | 1.7M | 1.6M | 1.6M | 1.7M | |
Other Liab | 111.7M | 120.0M | 109.3M | 93.9M | 84.5M | 88.3M | |
Net Tangible Assets | 1.1B | 895.1M | 1.2B | 817.1M | 939.7M | 1.0B | |
Other Assets | 229.1M | 3.1B | 4.8B | 189.8M | (1.0) | (0.95) | |
Long Term Debt | 1.7B | 2.1B | 2.3B | 2.2B | 2.2B | 2.1B | |
Deferred Long Term Liab | 228.2M | 88.3M | 84.4M | 187.6M | 168.8M | 187.8M | |
Property Plant Equipment | 2.3B | 2.2B | 2.4B | 2.4B | 2.8B | 2.4B | |
Capital Lease Obligations | 29.3M | 29.1M | 28.9M | 28.7M | 28.4M | 30.7M | |
Non Current Liabilities Other | 39.7M | 60.8M | 53.7M | 42.9M | 13.8M | 13.1M | |
Net Invested Capital | 3.6B | 3.9B | 2.3B | 2.2B | 4.0B | 2.7B |
Pair Trading with Empire State
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 Empire State 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 Empire State will appreciate offsetting losses from the drop in the long position's value.Moving together with Empire Stock
Moving against Empire Stock
The ability to find closely correlated positions to Empire State could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Empire State 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 Empire State - 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 Empire State Realty to buy it.
The correlation of Empire State 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 Empire State moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Empire State Realty 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 Empire State 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 Empire Stock Analysis
When running Empire State's price analysis, check to measure Empire State'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 Empire State is operating at the current time. Most of Empire State's value examination focuses on studying past and present price action to predict the probability of Empire State's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Empire State's price. Additionally, you may evaluate how the addition of Empire State to your portfolios can decrease your overall portfolio volatility.