New Price To Sales Ratio from 2010 to 2024

NYT Stock  USD 55.07  0.91  1.68%   
New York Price To Sales Ratio yearly trend continues to be comparatively stable with very little volatility. Price To Sales Ratio is likely to outpace its year average in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing New York's market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
3.32612375
Current Value
3.49
Quarterly Volatility
1.11327473
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check New York financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among New York's main balance sheet or income statement drivers, such as Depreciation And Amortization of 94.5 M, Interest Expense of 963.3 K or Total Revenue of 2.5 B, as well as many indicators such as Price To Sales Ratio of 3.49, Dividend Yield of 0.0082 or PTB Ratio of 2.66. New financial statements analysis is a perfect complement when working with New York Valuation or Volatility modules.
  
Check out the analysis of New York Correlation against competitors.

Latest New York's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of New York Times over the last few years. Price to Sales Ratio is figured by comparing New York Times stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on New York sales, a figure that is much harder to manipulate than other New York Times multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. New York's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in New York's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 3.54 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

New Price To Sales Ratio Regression Statistics

Arithmetic Mean2.46
Geometric Mean2.22
Coefficient Of Variation45.25
Mean Deviation1.00
Median2.35
Standard Deviation1.11
Sample Variance1.24
Range2.7173
R-Value0.70
Mean Square Error0.68
R-Squared0.49
Significance0
Slope0.17
Total Sum of Squares17.35

New Price To Sales Ratio History

2024 3.49
2023 3.33
2021 2.35
2017 1.79
2016 3.86
2011 1.41
2010 1.14

About New York Financial Statements

New York shareholders use historical fundamental indicators, such as Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although New York investors may analyze each financial statement separately, they are all interrelated. The changes in New York's assets and liabilities, for example, are also reflected in the revenues and expenses on on New York's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Price To Sales Ratio 3.33  3.49 

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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.