Pyxis Price To Sales Ratio from 2010 to 2024

PXSAW Stock  USD 0.25  0.04  13.79%   
Pyxis Tankers Price To Sales Ratio yearly trend continues to be fairly stable with very little volatility. Price To Sales Ratio will likely drop to 0.93 in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Pyxis Tankers' 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
0.98142465
Current Value
0.93
Quarterly Volatility
1.16028865
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Pyxis Tankers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Pyxis Tankers' main balance sheet or income statement drivers, such as Depreciation And Amortization of 6 M, Interest Expense of 3.9 M or Selling General Administrative of 3.3 M, as well as many indicators such as Price To Sales Ratio of 0.93, Dividend Yield of 0.0188 or PTB Ratio of 0.44. Pyxis financial statements analysis is a perfect complement when working with Pyxis Tankers Valuation or Volatility modules.
  
Check out the analysis of Pyxis Tankers Correlation against competitors.
For more information on how to buy Pyxis Stock please use our How to Invest in Pyxis Tankers guide.

Latest Pyxis Tankers' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Pyxis Tankers over the last few years. Price to Sales Ratio is figured by comparing Pyxis Tankers stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Pyxis Tankers sales, a figure that is much harder to manipulate than other Pyxis Tankers 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. Pyxis Tankers' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Pyxis Tankers' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.00 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Pyxis Price To Sales Ratio Regression Statistics

Arithmetic Mean2.23
Geometric Mean1.88
Coefficient Of Variation52.11
Mean Deviation1.05
Median2.62
Standard Deviation1.16
Sample Variance1.35
Range2.7616
R-Value(0.56)
Mean Square Error0.99
R-Squared0.31
Significance0.03
Slope(0.15)
Total Sum of Squares18.85

Pyxis Price To Sales Ratio History

2024 0.93
2023 0.98
2022 0.88
2021 2.73
2020 3.3
2019 3.45
2018 0.73

About Pyxis Tankers Financial Statements

Pyxis Tankers investors use historical fundamental indicators, such as Pyxis Tankers' Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Pyxis Tankers. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 0.98  0.93 

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Additional Tools for Pyxis Stock Analysis

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