Mingzhu Price To Sales Ratio from 2010 to 2024

YGMZ Stock  USD 1.08  0.03  2.70%   
Mingzhu Logistics Price To Sales Ratio yearly trend continues to be fairly stable with very little volatility. Price To Sales Ratio will likely drop to 4.98 in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Mingzhu Logistics' 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
5.24727376
Current Value
4.98
Quarterly Volatility
9.30403194
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Mingzhu Logistics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Mingzhu Logistics' main balance sheet or income statement drivers, such as Tax Provision of 436.1 K, Depreciation And Amortization of 1.6 M or Interest Expense of 576.3 K, as well as many indicators such as Price To Sales Ratio of 4.98, Dividend Yield of 0.0084 or PTB Ratio of 9.96. Mingzhu financial statements analysis is a perfect complement when working with Mingzhu Logistics Valuation or Volatility modules.
  
Check out the analysis of Mingzhu Logistics Correlation against competitors.

Latest Mingzhu Logistics' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Mingzhu Logistics Holdings over the last few years. Price to Sales Ratio is figured by comparing Mingzhu Logistics stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Mingzhu Logistics sales, a figure that is much harder to manipulate than other Mingzhu Logistics Holdings 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. Mingzhu Logistics' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Mingzhu Logistics' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.08 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Mingzhu Price To Sales Ratio Regression Statistics

Arithmetic Mean17.24
Geometric Mean13.79
Coefficient Of Variation53.97
Mean Deviation6.07
Median19.79
Standard Deviation9.30
Sample Variance86.57
Range40.3825
R-Value(0.41)
Mean Square Error77.26
R-Squared0.17
Significance0.13
Slope(0.86)
Total Sum of Squares1,212

Mingzhu Price To Sales Ratio History

2024 4.98
2023 5.25
2022 1.26
2021 17.98
2020 41.65
2019 14.39
2018 14.76

About Mingzhu Logistics Financial Statements

Mingzhu Logistics investors use historical fundamental indicators, such as Mingzhu Logistics' 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 Mingzhu Logistics. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 5.25  4.98 

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Additional Tools for Mingzhu Stock Analysis

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