New Inventory vs Property Plant And Equipment Gross Analysis

NYT Stock  USD 50.90  0.19  0.37%   
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 Inventory and its Property Plant And Equipment Gross 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.

Inventory vs Property Plant And Equipment Gross

Inventory vs Property Plant And Equipment Gross Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of New York Times Inventory account and Property Plant And Equipment Gross. At this time, the significance of the direction appears to have very week relationship.
The correlation between New York's Inventory and Property Plant And Equipment Gross is 0.23. Overlapping area represents the amount of variation of Inventory that can explain the historical movement of Property Plant And Equipment Gross 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 Inventory and Property Plant And Equipment Gross 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 of New York Times are associated (or correlated) with its Property Plant And Equipment Gross. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Property Plant And Equipment Gross has no effect on the direction of Inventory i.e., New York's Inventory and Property Plant And Equipment Gross go up and down completely randomly.

Correlation Coefficient

0.23
Relationship DirectionPositive 
Relationship StrengthVery Weak

Inventory

Property Plant And Equipment Gross

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 Expense769K40.7M1.0M963.3K
Depreciation And Amortization65.2M82.7M95.3M94.1M

New York fundamental ratios Correlations

0.21-0.10.590.220.67-0.140.440.420.760.290.350.87-0.510.330.00.54-0.820.670.640.580.0-0.02-0.13-0.320.09
0.21-0.47-0.26-0.80.630.76-0.580.350.02-0.610.420.11-0.280.94-0.16-0.08-0.40.78-0.270.510.51-0.21-0.81-0.130.24
-0.1-0.47-0.230.52-0.22-0.320.32-0.190.340.46-0.51-0.040.12-0.40.00.210.24-0.480.5-0.5-0.570.220.520.44-0.12
0.59-0.26-0.230.490.14-0.220.59-0.110.510.440.070.63-0.1-0.270.420.31-0.370.120.520.180.20.030.2-0.210.06
0.22-0.80.520.49-0.42-0.790.910.00.360.84-0.080.160.32-0.730.280.27-0.01-0.570.66-0.1-0.380.120.67-0.08-0.19
0.670.63-0.220.14-0.420.35-0.170.350.56-0.220.160.72-0.620.74-0.290.37-0.670.880.20.390.08-0.22-0.33-0.140.13
-0.140.76-0.32-0.22-0.790.35-0.68-0.33-0.05-0.66-0.04-0.09-0.140.640.07-0.22-0.080.49-0.41-0.010.57-0.12-0.660.130.26
0.44-0.580.320.590.91-0.17-0.680.180.480.80.210.310.36-0.450.250.31-0.37-0.320.660.22-0.19-0.180.51-0.41-0.14
0.420.35-0.19-0.110.00.35-0.330.180.060.090.710.19-0.060.44-0.320.14-0.430.360.180.75-0.08-0.22-0.2-0.42-0.05
0.760.020.340.510.360.56-0.050.480.060.41-0.150.78-0.310.150.120.61-0.560.370.820.06-0.260.080.110.080.08
0.29-0.610.460.440.84-0.22-0.660.80.090.410.040.190.32-0.50.30.01-0.02-0.390.620.04-0.42-0.090.65-0.16-0.4
0.350.42-0.510.07-0.080.16-0.040.210.71-0.150.04-0.010.230.47-0.1-0.2-0.560.36-0.110.960.44-0.56-0.36-0.83-0.06
0.870.11-0.040.630.160.72-0.090.310.190.780.19-0.01-0.640.21-0.030.66-0.60.610.650.25-0.110.08-0.01-0.040.27
-0.51-0.280.12-0.10.32-0.62-0.140.36-0.06-0.310.320.23-0.64-0.280.21-0.470.23-0.67-0.160.00.14-0.490.26-0.34-0.2
0.330.94-0.4-0.27-0.730.740.64-0.450.440.15-0.50.470.21-0.28-0.270.0-0.550.84-0.180.570.33-0.37-0.7-0.260.17
0.0-0.160.00.420.28-0.290.070.25-0.320.120.3-0.1-0.030.21-0.270.030.07-0.210.23-0.090.040.220.090.140.02
0.54-0.080.210.310.270.37-0.220.310.140.610.01-0.20.66-0.470.00.03-0.410.250.53-0.01-0.30.260.170.170.22
-0.82-0.40.24-0.37-0.01-0.67-0.08-0.37-0.43-0.56-0.02-0.56-0.60.23-0.550.07-0.41-0.68-0.34-0.71-0.260.390.290.64-0.14
0.670.78-0.480.12-0.570.880.49-0.320.360.37-0.390.360.61-0.670.84-0.210.25-0.680.040.560.29-0.11-0.62-0.210.22
0.64-0.270.50.520.660.2-0.410.660.180.820.62-0.110.65-0.16-0.180.230.53-0.340.040.05-0.390.250.320.120.23
0.580.51-0.50.18-0.10.39-0.010.220.750.060.040.960.250.00.57-0.09-0.01-0.710.560.050.41-0.49-0.4-0.780.01
0.00.51-0.570.2-0.380.080.57-0.19-0.08-0.26-0.420.44-0.110.140.330.04-0.3-0.260.29-0.390.41-0.32-0.56-0.410.2
-0.02-0.210.220.030.12-0.22-0.12-0.18-0.220.08-0.09-0.560.08-0.49-0.370.220.260.39-0.110.25-0.49-0.32-0.080.780.19
-0.13-0.810.520.20.67-0.33-0.660.51-0.20.110.65-0.36-0.010.26-0.70.090.170.29-0.620.32-0.4-0.56-0.080.07-0.31
-0.32-0.130.44-0.21-0.08-0.140.13-0.41-0.420.08-0.16-0.83-0.04-0.34-0.260.140.170.64-0.210.12-0.78-0.410.780.070.09
0.090.24-0.120.06-0.190.130.26-0.14-0.050.08-0.4-0.060.27-0.20.170.020.22-0.140.220.230.010.20.19-0.310.09
Click cells to compare fundamentals

New York Account Relationship Matchups

New York fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets2.1B2.3B2.6B2.5B2.7B3.1B
Short Long Term Debt Total55.1M52.7M63.6M59.1M53.0M50.3M
Other Current Liab224.9M249.2M303.7M350.3M311.8M189.3M
Total Current Liabilities437.7M486.7M559.2M571.2M611.6M664.8M
Total Stockholder Equity1.2B1.3B1.5B1.6B1.8B1.2B
Property Plant And Equipment Net627.1M594.5M575.0M611.3M549.6M780.3M
Net Debt(175.3M)(233.4M)(256.4M)(162.3M)(236.5M)(224.7M)
Retained Earnings1.6B1.7B1.8B2.0B2.1B1.5B
Cash230.4M286.1M320.0M221.4M289.5M151.2M
Non Current Assets Total1.4B1.5B1.6B1.9B1.9B1.8B
Non Currrent Assets Other239.6M319.3M360.9M300.1M268.7M223.2M
Cash And Short Term Investments432.2M595.2M661.0M347.4M451.6M265.4M
Net Receivables213.4M183.7M232.9M217.5M246.0M295.3M
Common Stock Shares Outstanding167.5M168.0M168.5M167.1M165.7M130.7M
Liabilities And Stockholders Equity2.1B2.3B2.6B2.5B2.7B3.1B
Non Current Liabilities Total477.6M492.8M464.2M362.6M339.8M322.8M
Inventory29.1M29.5M33.2M54.9M49.4M26.1M
Other Current Assets42.1M27.5M25.6M35.9M84.1M66.8M
Other Stockholder Equity36.8M45.5M58.9M(20.8M)(19.5M)(18.6M)
Total Liab915.3M979.6M1.0B933.8M951.4M1.9B
Property Plant And Equipment Gross627.1M594.5M1.4B1.4B1.4B1.1B
Total Current Assets716.8M835.8M952.7M655.7M781.7M713.4M
Accumulated Other Comprehensive Income(495.0M)(410.2M)(383.2M)(357.8M)(352.9M)(370.5M)
Short Term Debt7.9M9.1M9.1M9.9M10.1M9.6M
Intangible Assets3M9M14.2M317.3M283.0M503.4M
Accounts Payable116.6M123.2M127.1M114.6M116.9M114.0M
Good Will138.7M171.7M166.4M414.0M416.1M486.3M
Common Stock Total Equity17.4M17.5M(171.2M)17.7M15.9M16.7M
Common Stock17.5M17.6M17.7M17.7M17.8M17.5M
Other Liab422.4M440.1M400.6M303.4M273.1M259.4M
Other Assets284.9M396.6M352.0M364.1M1.00.95
Property Plant Equipment627.1M594.5M426.9M613.9M552.5M775.5M
Current Deferred Revenue88.4M105.3M119.3M96.4M172.8M154.6M
Short Term Investments201.8M309.1M341.1M126.0M162.1M280.8M
Net Tangible Assets1.2B1.3B1.3B866.6M996.6M883.6M
Retained Earnings Total Equity1.5B1.6B1.7B1.8B2.1B1.5B

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

  0.87SE SeaPairCorr

Moving against New Stock

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  0.67WMG Warner Music Group Fiscal Year End 21st of November 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.
Pair CorrelationCorrelation Matching

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.