New Common Stock Shares Outstanding vs Short Long Term Debt Total Analysis
NYT Stock | USD 50.28 0.62 1.22% |
New York financial indicator trend analysis is infinitely more than just investigating New York Times recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether New York Times is a good investment. Please check the relationship between New York Common Stock Shares Outstanding and its Short Long Term Debt Total accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Times. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.
Common Stock Shares Outstanding vs Short Long Term Debt Total
Common Stock Shares Outstanding vs Short Long Term Debt Total Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of New York Times Common Stock Shares Outstanding account and Short Long Term Debt Total. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between New York's Common Stock Shares Outstanding and Short Long Term Debt Total is -0.28. Overlapping area represents the amount of variation of Common Stock Shares Outstanding that can explain the historical movement of Short Long Term Debt Total in the same time period over historical financial statements of New York Times, assuming nothing else is changed. The correlation between historical values of New York's Common Stock Shares Outstanding and Short Long Term Debt Total is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Common Stock Shares Outstanding of New York Times are associated (or correlated) with its Short Long Term Debt Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Short Long Term Debt Total has no effect on the direction of Common Stock Shares Outstanding i.e., New York's Common Stock Shares Outstanding and Short Long Term Debt Total go up and down completely randomly.
Correlation Coefficient | -0.28 |
Relationship Direction | Negative |
Relationship Strength | Insignificant |
Common Stock Shares Outstanding
The total number of shares of a company's common stock that are currently owned by all its shareholders.Short Long Term Debt Total
Most indicators from New York's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into New York Times 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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Times. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing. At this time, New York's Sales General And Administrative To Revenue is comparatively stable compared to the past year. Enterprise Value Over EBITDA is likely to gain to 20.49 in 2024, whereas Tax Provision is likely to drop slightly above 52.9 M in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 769K | 40.7M | 1.0M | 963.3K | Depreciation And Amortization | 65.2M | 82.7M | 95.3M | 94.1M |
New York fundamental ratios Correlations
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New York Account Relationship Matchups
High Positive Relationship
High Negative Relationship
New York fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 2.1B | 2.3B | 2.6B | 2.5B | 2.7B | 3.1B | |
Short Long Term Debt Total | 55.1M | 52.7M | 63.6M | 59.1M | 53.0M | 50.3M | |
Other Current Liab | 224.9M | 249.2M | 303.7M | 350.3M | 311.8M | 189.3M | |
Total Current Liabilities | 437.7M | 486.7M | 559.2M | 571.2M | 611.6M | 664.8M | |
Total Stockholder Equity | 1.2B | 1.3B | 1.5B | 1.6B | 1.8B | 1.2B | |
Property Plant And Equipment Net | 627.1M | 594.5M | 575.0M | 611.3M | 549.6M | 780.3M | |
Net Debt | (175.3M) | (233.4M) | (256.4M) | (162.3M) | (236.5M) | (224.7M) | |
Retained Earnings | 1.6B | 1.7B | 1.8B | 2.0B | 2.1B | 1.5B | |
Cash | 230.4M | 286.1M | 320.0M | 221.4M | 289.5M | 151.2M | |
Non Current Assets Total | 1.4B | 1.5B | 1.6B | 1.9B | 1.9B | 1.8B | |
Non Currrent Assets Other | 239.6M | 319.3M | 360.9M | 300.1M | 268.7M | 223.2M | |
Cash And Short Term Investments | 432.2M | 595.2M | 661.0M | 347.4M | 451.6M | 265.4M | |
Net Receivables | 213.4M | 183.7M | 232.9M | 217.5M | 246.0M | 295.3M | |
Common Stock Shares Outstanding | 167.5M | 168.0M | 168.5M | 167.1M | 165.7M | 130.7M | |
Liabilities And Stockholders Equity | 2.1B | 2.3B | 2.6B | 2.5B | 2.7B | 3.1B | |
Non Current Liabilities Total | 477.6M | 492.8M | 464.2M | 362.6M | 339.8M | 322.8M | |
Inventory | 29.1M | 29.5M | 33.2M | 54.9M | 49.4M | 26.1M | |
Other Current Assets | 42.1M | 27.5M | 25.6M | 35.9M | 84.1M | 66.8M | |
Other Stockholder Equity | 36.8M | 45.5M | 58.9M | (20.8M) | (19.5M) | (18.6M) | |
Total Liab | 915.3M | 979.6M | 1.0B | 933.8M | 951.4M | 1.9B | |
Property Plant And Equipment Gross | 627.1M | 594.5M | 1.4B | 1.4B | 1.4B | 1.1B | |
Total Current Assets | 716.8M | 835.8M | 952.7M | 655.7M | 781.7M | 713.4M | |
Accumulated Other Comprehensive Income | (495.0M) | (410.2M) | (383.2M) | (357.8M) | (352.9M) | (370.5M) | |
Short Term Debt | 7.9M | 9.1M | 9.1M | 9.9M | 10.1M | 9.6M | |
Intangible Assets | 3M | 9M | 14.2M | 317.3M | 283.0M | 503.4M | |
Accounts Payable | 116.6M | 123.2M | 127.1M | 114.6M | 116.9M | 114.0M | |
Good Will | 138.7M | 171.7M | 166.4M | 414.0M | 416.1M | 486.3M | |
Common Stock Total Equity | 17.4M | 17.5M | (171.2M) | 17.7M | 15.9M | 16.7M | |
Common Stock | 17.5M | 17.6M | 17.7M | 17.7M | 17.8M | 17.5M | |
Other Liab | 422.4M | 440.1M | 400.6M | 303.4M | 273.1M | 259.4M | |
Other Assets | 284.9M | 396.6M | 352.0M | 364.1M | 1.0 | 0.95 | |
Property Plant Equipment | 627.1M | 594.5M | 426.9M | 613.9M | 552.5M | 775.5M | |
Current Deferred Revenue | 88.4M | 105.3M | 119.3M | 96.4M | 172.8M | 154.6M | |
Short Term Investments | 201.8M | 309.1M | 341.1M | 126.0M | 162.1M | 280.8M | |
Net Tangible Assets | 1.2B | 1.3B | 1.3B | 866.6M | 996.6M | 883.6M | |
Retained Earnings Total Equity | 1.5B | 1.6B | 1.7B | 1.8B | 2.1B | 1.5B |
Pair Trading with New York
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 New York 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 New York will appreciate offsetting losses from the drop in the long position's value.Moving together with New Stock
Moving against New Stock
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0.69 | WMG | Warner Music Group Fiscal Year End 21st of November 2024 | PairCorr |
0.69 | SPHR | Sphere Entertainment Fiscal Year End 27th of August 2024 | PairCorr |
The ability to find closely correlated positions to New York could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace New York 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 New York - 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 New York Times to buy it.
The correlation of New York 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 New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if New York Times 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 New York 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 New Stock Analysis
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.