IPG Payables Turnover from 2010 to 2024

IPGP Stock  USD 77.30  0.18  0.23%   
IPG Photonics Payables Turnover yearly trend continues to be relatively stable with very little volatility. Payables Turnover is likely to drop to 13.94. Payables Turnover is a liquidity ratio that shows how quickly IPG Photonics pays off its suppliers by dividing total purchases by average accounts payable. View All Fundamentals
 
Payables Turnover  
First Reported
2010-12-31
Previous Quarter
26.05845971
Current Value
13.94
Quarterly Volatility
4.46292154
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check IPG Photonics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among IPG Photonics' main balance sheet or income statement drivers, such as Depreciation And Amortization of 46.8 M, Interest Expense of 43.8 M or Total Revenue of 727.4 M, as well as many indicators such as Price To Sales Ratio of 3.78, Dividend Yield of 0.0079 or PTB Ratio of 1.86. IPG financial statements analysis is a perfect complement when working with IPG Photonics Valuation or Volatility modules.
  
Check out the analysis of IPG Photonics Correlation against competitors.
To learn how to invest in IPG Stock, please use our How to Invest in IPG Photonics guide.

Latest IPG Photonics' Payables Turnover Growth Pattern

Below is the plot of the Payables Turnover of IPG Photonics over the last few years. It is a liquidity ratio that shows how quickly a company pays off its suppliers by dividing total purchases by average accounts payable. IPG Photonics' Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in IPG Photonics' overall financial position and show how it may be relating to other accounts over time.
Payables Turnover10 Years Trend
Slightly volatile
   Payables Turnover   
       Timeline  

IPG Payables Turnover Regression Statistics

Arithmetic Mean18.38
Geometric Mean17.91
Coefficient Of Variation24.29
Mean Deviation3.53
Median17.43
Standard Deviation4.46
Sample Variance19.92
Range13.0109
R-Value0.34
Mean Square Error18.99
R-Squared0.11
Significance0.22
Slope0.34
Total Sum of Squares278.85

IPG Payables Turnover History

2024 13.94
2023 26.06
2022 18.91
2021 13.69
2020 25.7
2019 25.92
2018 18.17

About IPG Photonics Financial Statements

IPG Photonics shareholders use historical fundamental indicators, such as Payables Turnover, to determine how well the company is positioned to perform in the future. Although IPG Photonics investors may analyze each financial statement separately, they are all interrelated. The changes in IPG Photonics' assets and liabilities, for example, are also reflected in the revenues and expenses on on IPG Photonics' 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
Payables Turnover 26.06  13.94 

Pair Trading with IPG Photonics

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 IPG Photonics 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 IPG Photonics will appreciate offsetting losses from the drop in the long position's value.

Moving together with IPG Stock

  0.76DQ Daqo New EnergyPairCorr

Moving against IPG Stock

  0.57TER TeradynePairCorr
  0.33ENTG EntegrisPairCorr
The ability to find closely correlated positions to IPG Photonics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IPG Photonics 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 IPG Photonics - 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 IPG Photonics to buy it.
The correlation of IPG Photonics 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 IPG Photonics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IPG Photonics 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 IPG Photonics 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 IPG Stock Analysis

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