New Net Debt vs Net Tangible Assets Analysis
NYT Stock | USD 48.81 0.03 0.06% |
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 Net Debt and its Net Tangible Assets 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 tightly coupled with the direction of predictive economic indicators such as signals in manufacturing.
Net Debt vs Net Tangible Assets
Net Debt vs Net Tangible Assets Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of New York Times Net Debt account and Net Tangible Assets. At this time, the significance of the direction appears to have pay attention.
The correlation between New York's Net Debt and Net Tangible Assets is -0.71. Overlapping area represents the amount of variation of Net Debt that can explain the historical movement of Net Tangible Assets 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 Net Debt and Net Tangible Assets is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Debt of New York Times are associated (or correlated) with its Net Tangible Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Tangible Assets has no effect on the direction of Net Debt i.e., New York's Net Debt and Net Tangible Assets go up and down completely randomly.
Correlation Coefficient | -0.71 |
Relationship Direction | Negative |
Relationship Strength | Weak |
Net Debt
The total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds.Net Tangible Assets
The total assets of a company minus any intangible assets such as patents, copyrights, and goodwill; it represents the physical assets of a company.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 tightly coupled 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 against New Stock
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0.43 | DLPN | Dolphin Entertainment | 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.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 tightly coupled with the direction of predictive economic indicators such as signals in manufacturing. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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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.
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Is New York'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 New York. If investors know New 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 New York 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 0.846 | Dividend Share 0.46 | Earnings Share 1.51 | Revenue Per Share 14.778 | Quarterly Revenue Growth 0.061 |
The market value of New York Times is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York'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 New York's market value can be influenced by many factors that don't directly affect New York'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 New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York'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.