Hongli Days Of Sales Outstanding from 2010 to 2025

HLP Stock   1.26  0.04  3.08%   
Hongli Group Days Of Sales Outstanding yearly trend continues to be relatively stable with very little volatility. Days Of Sales Outstanding is likely to drop to 105.02. During the period from 2010 to 2025, Hongli Group Days Of Sales Outstanding destribution of quarterly values had range of 48.911 from its regression line and mean deviation of  11.64. View All Fundamentals
 
Days Of Sales Outstanding  
First Reported
2010-12-31
Previous Quarter
135.36
Current Value
105.02
Quarterly Volatility
15.6447656
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Hongli Group financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hongli Group's main balance sheet or income statement drivers, such as Tax Provision of 57.9 K, Depreciation And Amortization of 810.1 K or Interest Expense of 451.7 K, as well as many indicators such as Price To Sales Ratio of 1.35, Dividend Yield of 0.0 or PTB Ratio of 1.02. Hongli financial statements analysis is a perfect complement when working with Hongli Group Valuation or Volatility modules.
  
Check out the analysis of Hongli Group Correlation against competitors.

Latest Hongli Group's Days Of Sales Outstanding Growth Pattern

Below is the plot of the Days Of Sales Outstanding of Hongli Group Ordinary over the last few years. It is Hongli Group's Days Of Sales Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hongli Group's overall financial position and show how it may be relating to other accounts over time.
Days Of Sales Outstanding10 Years Trend
Slightly volatile
   Days Of Sales Outstanding   
       Timeline  

Hongli Days Of Sales Outstanding Regression Statistics

Arithmetic Mean138.45
Geometric Mean137.51
Coefficient Of Variation11.30
Mean Deviation11.64
Median146.50
Standard Deviation15.64
Sample Variance244.76
Range48.911
R-Value(0.56)
Mean Square Error180.97
R-Squared0.31
Significance0.03
Slope(1.83)
Total Sum of Squares3,671

Hongli Days Of Sales Outstanding History

2025 105.02
2024 135.36
2023 150.4
2022 139.15
2021 101.49
2020 118.78

About Hongli Group Financial Statements

Hongli Group shareholders use historical fundamental indicators, such as Days Of Sales Outstanding, to determine how well the company is positioned to perform in the future. Although Hongli Group investors may analyze each financial statement separately, they are all interrelated. The changes in Hongli Group's assets and liabilities, for example, are also reflected in the revenues and expenses on on Hongli Group'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
Days Of Sales Outstanding 135.36  105.02 

Pair Trading with Hongli Group

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Hongli Group position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Hongli Group will appreciate offsetting losses from the drop in the long position's value.

Moving against Hongli Stock

  0.57CTGO Contango OREPairCorr
  0.5NUE Nucor Corp Sell-off TrendPairCorr
  0.5PFH Prudential Financial 4125PairCorr
  0.49BAK Braskem SA ClassPairCorr
  0.48PKX POSCO HoldingsPairCorr
The ability to find closely correlated positions to Hongli Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hongli Group when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Hongli Group - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Hongli Group Ordinary to buy it.
The correlation of Hongli Group is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Hongli Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hongli Group Ordinary moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Hongli Group can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Hongli Stock Analysis

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