Logistic Price To Sales Ratio from 2010 to 2024

LPA Stock   7.22  0.26  3.74%   
Logistic Properties' Price To Sales Ratio is decreasing over the years with slightly volatile fluctuation. Price To Sales Ratio is expected to dwindle to 12.22. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Logistic Properties' 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
12.86518763
Current Value
12.22
Quarterly Volatility
45.80346075
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Logistic Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Logistic Properties' main balance sheet or income statement drivers, such as Depreciation And Amortization of 176.3 K, Selling General Administrative of 6.3 M or Total Revenue of 31.9 M, as well as many indicators such as Price To Sales Ratio of 12.22, Dividend Yield of 0.0 or PTB Ratio of 2.17. Logistic financial statements analysis is a perfect complement when working with Logistic Properties Valuation or Volatility modules.
  
Check out the analysis of Logistic Properties Correlation against competitors.

Latest Logistic Properties' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Logistic Properties of over the last few years. Price to Sales Ratio is figured by comparing Logistic Properties stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Logistic Properties sales, a figure that is much harder to manipulate than other Logistic Properties of 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. Logistic Properties' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Logistic Properties' 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  

Logistic Price To Sales Ratio Regression Statistics

Arithmetic Mean117.68
Geometric Mean96.74
Coefficient Of Variation38.92
Mean Deviation34.19
Median140.99
Standard Deviation45.80
Sample Variance2,098
Range129
R-Value(0.73)
Mean Square Error1,050
R-Squared0.54
Significance0
Slope(7.49)
Total Sum of Squares29,371

Logistic Price To Sales Ratio History

2024 12.22
2023 12.87
2022 84.12
2021 105.11

About Logistic Properties Financial Statements

Logistic Properties stakeholders use historical fundamental indicators, such as Logistic Properties' Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although Logistic Properties investors may analyze each financial statement separately, they are all interrelated. For example, changes in Logistic Properties' assets and liabilities are reflected in the revenues and expenses on Logistic Properties' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Logistic Properties of. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 12.87  12.22 

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When determining whether Logistic Properties offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Logistic Properties' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Logistic Properties Of Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Logistic Properties Of Stock:
Check out the analysis of Logistic Properties Correlation against competitors.
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Is Other Specialized REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Logistic Properties. If investors know Logistic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Logistic Properties listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Logistic Properties is measured differently than its book value, which is the value of Logistic that is recorded on the company's balance sheet. Investors also form their own opinion of Logistic Properties' value that differs from its market value or its book value, called intrinsic value, which is Logistic Properties' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Logistic Properties' market value can be influenced by many factors that don't directly affect Logistic Properties' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Logistic Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if Logistic Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Logistic Properties' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.