Diana Price To Sales Ratio from 2010 to 2024

DSX Stock  USD 1.78  0.04  2.30%   
Diana Shipping Price To Sales Ratio yearly trend continues to be fairly stable with very little volatility. Price To Sales Ratio will likely drop to 1.08 in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Diana Shipping'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
1.13505211
Current Value
1.08
Quarterly Volatility
1.62762085
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Diana Shipping financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Diana Shipping's main balance sheet or income statement drivers, such as Depreciation And Amortization of 10 M, Interest Expense of 51.8 M or Total Revenue of 191.8 M, as well as many indicators such as Price To Sales Ratio of 1.08, Dividend Yield of 0.17 or PTB Ratio of 0.58. Diana financial statements analysis is a perfect complement when working with Diana Shipping Valuation or Volatility modules.
  
Check out the analysis of Diana Shipping Correlation against competitors.
For more information on how to buy Diana Stock please use our How to Invest in Diana Shipping guide.

Latest Diana Shipping's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Diana Shipping over the last few years. Price to Sales Ratio is figured by comparing Diana Shipping stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Diana Shipping sales, a figure that is much harder to manipulate than other Diana Shipping 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. Diana Shipping's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Diana Shipping's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.95 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Diana Price To Sales Ratio Regression Statistics

Arithmetic Mean2.36
Geometric Mean1.99
Coefficient Of Variation68.88
Mean Deviation1.12
Median2.13
Standard Deviation1.63
Sample Variance2.65
Range5.5929
R-Value(0.73)
Mean Square Error1.32
R-Squared0.54
Significance0
Slope(0.27)
Total Sum of Squares37.09

Diana Price To Sales Ratio History

2023 1.14
2022 1.08
2021 1.47
2020 0.98
2019 1.34
2018 1.46
2017 2.48

About Diana Shipping Financial Statements

Diana Shipping investors use historical fundamental indicators, such as Diana Shipping's 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 Diana Shipping. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 1.14  1.08 

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Additional Tools for Diana Stock Analysis

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