NET Liabilities And Stockholders Equity from 2010 to 2024

NPWR Stock   9.91  0.08  0.80%   
NET Power Liabilities And Stockholders Equity yearly trend continues to be relatively stable with very little volatility. Liabilities And Stockholders Equity is likely to grow to about 2.6 B this year. Liabilities And Stockholders Equity is the total of all liabilities and equity in the company, which should equal NET Power's total assets according to the accounting equation. View All Fundamentals
 
Liabilities And Stockholders Equity  
First Reported
2010-12-31
Previous Quarter
2.5 B
Current Value
2.6 B
Quarterly Volatility
844.9 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check NET Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among NET Power's main balance sheet or income statement drivers, such as Depreciation And Amortization of 53.4 M, Selling General Administrative of 20.3 M or Selling And Marketing Expenses of 2.8 M, as well as many indicators such as Price To Sales Ratio of 2.5 K, Dividend Yield of 0.0 or PTB Ratio of 0.92. NET financial statements analysis is a perfect complement when working with NET Power Valuation or Volatility modules.
  
Check out the analysis of NET Power Correlation against competitors.
To learn how to invest in NET Stock, please use our How to Invest in NET Power guide.

Latest NET Power's Liabilities And Stockholders Equity Growth Pattern

Below is the plot of the Liabilities And Stockholders Equity of NET Power over the last few years. It is the total of all liabilities and equity in the company, which should equal the company's total assets according to the accounting equation. NET Power's Liabilities And Stockholders Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in NET Power's overall financial position and show how it may be relating to other accounts over time.
Liabilities And Stockholders Equity10 Years Trend
Slightly volatile
   Liabilities And Stockholders Equity   
       Timeline  

NET Liabilities And Stockholders Equity Regression Statistics

Arithmetic Mean462,919,072
Geometric Mean191,198,794
Coefficient Of Variation182.52
Mean Deviation551,975,247
Median107,083,000
Standard Deviation844,940,157
Sample Variance713923.9T
Range2.5B
R-Value0.64
Mean Square Error455254.6T
R-Squared0.41
Significance0.01
Slope120,662,232
Total Sum of Squares9994934.2T

NET Liabilities And Stockholders Equity History

20242.6 B
20232.5 B
2022351.9 M
2021348.4 M

About NET Power Financial Statements

NET Power shareholders use historical fundamental indicators, such as Liabilities And Stockholders Equity, to determine how well the company is positioned to perform in the future. Although NET Power investors may analyze each financial statement separately, they are all interrelated. The changes in NET Power's assets and liabilities, for example, are also reflected in the revenues and expenses on on NET Power'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
Liabilities And Stockholders Equity2.5 B2.6 B

Pair Trading with NET Power

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 NET Power 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 NET Power will appreciate offsetting losses from the drop in the long position's value.

Moving together with NET Stock

  0.85CR Crane CompanyPairCorr
  0.86HI HillenbrandPairCorr
  0.68IR Ingersoll RandPairCorr

Moving against NET Stock

  0.91CYD China Yuchai InternaPairCorr
  0.83AOS Smith AOPairCorr
  0.54MKDWW MKDWELL Tech WarrantsPairCorr
  0.42RR Richtech Robotics ClassPairCorr
The ability to find closely correlated positions to NET Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NET Power 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 NET Power - 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 NET Power to buy it.
The correlation of NET Power 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 NET Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NET Power 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 NET Power 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 NET Stock Analysis

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