| NYT Stock | | | USD 54.16 0.91 1.71% |
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 Change To Liabilities and its Change Receivables 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.
Change To Liabilities vs Change Receivables
Change To Liabilities vs Change Receivables Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
New York Times Change To Liabilities account and
Change Receivables. At this time, the significance of the direction appears to have weak relationship.
The correlation between New York's Change To Liabilities and Change Receivables is 0.38. Overlapping area represents the amount of variation of Change To Liabilities that can explain the historical movement of Change Receivables 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 Change To Liabilities and Change Receivables is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Change To Liabilities of New York Times are associated (or correlated) with its Change Receivables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Change Receivables has no effect on the direction of Change To Liabilities i.e., New York's Change To Liabilities and Change Receivables go up and down completely randomly.
Correlation Coefficient | 0.38 |
| Relationship Direction | Positive |
| Relationship Strength | Very Weak |
Change To Liabilities
Change Receivables
The difference in the amount of accounts receivable from one accounting period to the next. A positive number indicates an increase in receivables, while a negative number indicates a decrease.
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 20.59 in 2024, whereas
Tax Provision is likely to drop slightly above 52.9
M in 2024.
New York fundamental ratios Correlations
Click cells to compare fundamentals
New York Account Relationship Matchups
High Positive Relationship
High Negative Relationship
New York fundamental ratios Accounts
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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.