CNET Price To Sales Ratio from 2010 to 2024

CNET Stock  USD 1.60  0.07  4.19%   
ZW Data Price To Sales Ratio yearly trend continues to be comparatively stable with very little volatility. Price To Sales Ratio will likely drop to 0.74 in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing ZW Data'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
0.7810049
Current Value
0.74
Quarterly Volatility
461.37342335
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ZW Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ZW Data's main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.3 M, Interest Expense of 6.3 M or Selling General Administrative of 6.3 M, as well as many indicators such as Price To Sales Ratio of 0.74, Dividend Yield of 1.0E-4 or PTB Ratio of 4.01. CNET financial statements analysis is a perfect complement when working with ZW Data Valuation or Volatility modules.
  
Check out the analysis of ZW Data Correlation against competitors.

Latest ZW Data's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of ZW Data Action over the last few years. Price to Sales Ratio is figured by comparing ZW Data Action stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on ZW Data sales, a figure that is much harder to manipulate than other ZW Data Action 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. ZW Data's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ZW Data's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.14 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

CNET Price To Sales Ratio Regression Statistics

Arithmetic Mean121.09
Geometric Mean2.81
Coefficient Of Variation381.03
Mean Deviation222.37
Median2.47
Standard Deviation461.37
Sample Variance212,865
Range1.8K
R-Value(0.43)
Mean Square Error186,145
R-Squared0.19
Significance0.11
Slope(44.73)
Total Sum of Squares3M

CNET Price To Sales Ratio History

2024 0.74
2023 0.78
2022 2.5
2021 2.79
2020 3.04
2019 1.37
2018 1.49

About ZW Data Financial Statements

ZW Data 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 ZW Data investors may analyze each financial statement separately, they are all interrelated. The changes in ZW Data's assets and liabilities, for example, are also reflected in the revenues and expenses on on ZW Data'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 0.78  0.74 

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Additional Tools for CNET Stock Analysis

When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.