Acm Property Plant And Equipment Gross from 2010 to 2024

ACMR Stock  USD 14.91  0.30  1.97%   
Acm Research Property Plant And Equipment Gross yearly trend continues to be relatively stable with very little volatility. Property Plant And Equipment Gross is likely to grow to about 242.1 M this year. During the period from 2010 to 2024, Acm Research Property Plant And Equipment Gross destribution of quarterly values had range of 240.4 M from its regression line and mean deviation of  58,004,085. View All Fundamentals
 
Property Plant And Equipment Gross  
First Reported
2016-12-31
Previous Quarter
253.4 M
Current Value
265 M
Quarterly Volatility
89.1 M
 
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 20.3 M, Interest Income of 8.8 M or Depreciation And Amortization of 8.5 M, as well as many indicators such as Price To Sales Ratio of 2.5, Dividend Yield of 0.0027 or PTB Ratio of 1.61. 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 Property Plant And Equipment Gross Growth Pattern

Below is the plot of the Property Plant And Equipment Gross of Acm Research over the last few years. It is Acm Research's Property Plant And Equipment Gross 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.
Property Plant And Equipment Gross10 Years Trend
Slightly volatile
   Property Plant And Equipment Gross   
       Timeline  

Acm Property Plant And Equipment Gross Regression Statistics

Arithmetic Mean41,014,970
Geometric Mean7,016,078
Coefficient Of Variation200.25
Mean Deviation58,004,085
Median2,340,000
Standard Deviation82,130,443
Sample Variance6745.4T
Range240.4M
R-Value0.70
Mean Square Error3735T
R-Squared0.49
Significance0
Slope12,800,860
Total Sum of Squares94435.7T

Acm Property Plant And Equipment Gross History

2024242.1 M
2023230.6 M
202285.4 M
202118.2 M
202012.5 M
20197.5 M
20183.7 M

About Acm Research Financial Statements

Acm Research shareholders use historical fundamental indicators, such as Property Plant And Equipment Gross, 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
Property Plant And Equipment Gross230.6 M242.1 M

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 against Acm Stock

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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.