Acm Days Of Inventory On Hand from 2010 to 2025

ACMR Stock  USD 20.55  0.01  0.05%   
Acm Research Days Of Inventory On Hand yearly trend continues to be relatively stable with very little volatility. Days Of Inventory On Hand is likely to drop to 333.97. During the period from 2010 to 2025, Acm Research Days Of Inventory On Hand destribution of quarterly values had range of 512 from its regression line and mean deviation of  147.68. View All Fundamentals
 
Days Of Inventory On Hand  
First Reported
2010-12-31
Previous Quarter
636.44
Current Value
333.97
Quarterly Volatility
186.97665761
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Acm Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Acm Research's main balance sheet or income statement drivers, such as Tax Provision of 23.4 M, Interest Income of 10.1 M or Depreciation And Amortization of 9.8 M, as well as many indicators such as Price To Sales Ratio of 2.5, Dividend Yield of 0.0027 or PTB Ratio of 1.45. Acm financial statements analysis is a perfect complement when working with Acm Research Valuation or Volatility modules.
  
Check out the analysis of Acm Research Correlation against competitors.
To learn how to invest in Acm Stock, please use our How to Invest in Acm Research guide.

Latest Acm Research's Days Of Inventory On Hand Growth Pattern

Below is the plot of the Days Of Inventory On Hand of Acm Research over the last few years. It is Acm Research's Days Of Inventory On Hand historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Acm Research's overall financial position and show how it may be relating to other accounts over time.
Days Of Inventory On Hand10 Years Trend
Slightly volatile
   Days Of Inventory On Hand   
       Timeline  

Acm Days Of Inventory On Hand Regression Statistics

Arithmetic Mean356.53
Geometric Mean317.53
Coefficient Of Variation52.44
Mean Deviation147.68
Median303.24
Standard Deviation186.98
Sample Variance34,960
Range512
R-Value0.80
Mean Square Error13,516
R-Squared0.64
Significance0.0002
Slope31.40
Total Sum of Squares524,404

Acm Days Of Inventory On Hand History

2025 333.97
2024 636.44
2023 707.15
2022 699.3
2021 549.45
2020 371.77
2019 287.51

About Acm Research Financial Statements

Acm Research shareholders use historical fundamental indicators, such as Days Of Inventory On Hand, to determine how well the company is positioned to perform in the future. Although Acm Research investors may analyze each financial statement separately, they are all interrelated. The changes in Acm Research's assets and liabilities, for example, are also reflected in the revenues and expenses on on Acm Research'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 Inventory On Hand 636.44  333.97 

Pair Trading with Acm Research

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 Acm Research 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 Acm Research will appreciate offsetting losses from the drop in the long position's value.

Moving together with Acm Stock

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Moving against Acm Stock

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  0.49HCKT Hackett GroupPairCorr
  0.45IBM International Business Tech BoostPairCorr
The ability to find closely correlated positions to Acm Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Acm Research 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 Acm Research - 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 Acm Research to buy it.
The correlation of Acm Research 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 Acm Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Acm Research 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 Acm Research 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 Acm Stock Analysis

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