Daqo Property Plant And Equipment Net from 2010 to 2024

DQ Stock  USD 18.39  0.05  0.27%   
Daqo New Property Plant And Equipment Net yearly trend continues to be relatively stable with very little volatility. Property Plant And Equipment Net is likely to grow to about 3.8 B this year. Property Plant And Equipment Net is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects Daqo New's investment in assets used for production. View All Fundamentals
 
Property Plant And Equipment Net  
First Reported
2008-12-31
Previous Quarter
3.8 B
Current Value
3.9 B
Quarterly Volatility
B
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Daqo New financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Daqo New's main balance sheet or income statement drivers, such as Interest Expense of 14.4 M, Other Operating Expenses of 1.6 B or Operating Income of 822.6 M, as well as many indicators such as Price To Sales Ratio of 1.07, Dividend Yield of 0.0 or PTB Ratio of 0.44. Daqo financial statements analysis is a perfect complement when working with Daqo New Valuation or Volatility modules.
  
Check out the analysis of Daqo New Correlation against competitors.

Latest Daqo New's Property Plant And Equipment Net Growth Pattern

Below is the plot of the Property Plant And Equipment Net of Daqo New Energy over the last few years. It is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects the company's investment in assets used for production. Daqo New's Property Plant And Equipment Net historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Daqo New's overall financial position and show how it may be relating to other accounts over time.
Property Plant And Equipment Net10 Years Trend
Slightly volatile
   Property Plant And Equipment Net   
       Timeline  

Daqo Property Plant And Equipment Net Regression Statistics

Arithmetic Mean1,239,319,184
Geometric Mean906,233,474
Coefficient Of Variation93.27
Mean Deviation885,492,855
Median636,475,000
Standard Deviation1,155,911,250
Sample Variance1336130.8T
Range3.5B
R-Value0.81
Mean Square Error493199.3T
R-Squared0.66
Significance0.0002
Slope209,542,360
Total Sum of Squares18705831.4T

Daqo Property Plant And Equipment Net History

20243.8 B
20233.6 B
20222.6 B
20211.6 B
2020B
2019995.2 M
2018611.6 M

About Daqo New Financial Statements

Daqo New shareholders use historical fundamental indicators, such as Property Plant And Equipment Net, to determine how well the company is positioned to perform in the future. Although Daqo New investors may analyze each financial statement separately, they are all interrelated. The changes in Daqo New's assets and liabilities, for example, are also reflected in the revenues and expenses on on Daqo New'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 Net3.6 B3.8 B

Pair Trading with Daqo New

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 Daqo New 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 Daqo New will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Daqo New could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Daqo New 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 Daqo New - 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 Daqo New Energy to buy it.
The correlation of Daqo New 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 Daqo New moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Daqo New Energy 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 Daqo New 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 Daqo Stock Analysis

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