NET Total Assets from 2010 to 2025
| NPWR Stock | 8.71 0.23 2.71% |
Total Assets | First Reported 2010-12-31 | Previous Quarter 2.8 B | Current Value 3 B | Quarterly Volatility 1.1 B |
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 61.4 M, Selling General Administrative of 45.4 M or Selling And Marketing Expenses of 3.2 M, as well as many indicators such as Price To Sales Ratio of 2.2 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.
NET | Total Assets |
Latest NET Power's Total Assets Growth Pattern
Below is the plot of the Total Assets of NET Power over the last few years. Total assets refers to the total amount of NET Power assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in NET Power books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. It is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. NET Power's Total Assets 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.
| View | Last Reported 2.47 B | 10 Years Trend |
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Total Assets |
| Timeline |
NET Total Assets Regression Statistics
| Arithmetic Mean | 635,917,748 | |
| Geometric Mean | 228,315,109 | |
| Coefficient Of Variation | 167.34 | |
| Mean Deviation | 798,599,642 | |
| Median | 107,083,000 | |
| Standard Deviation | 1,064,125,381 | |
| Sample Variance | 1132362.8T | |
| Range | 2.9B | |
| R-Value | 0.71 | |
| Mean Square Error | 593857.2T | |
| R-Squared | 0.51 | |
| Significance | 0 | |
| Slope | 159,700,474 | |
| Total Sum of Squares | 16985442.4T |
NET Total Assets History
Other Fundumenentals of NET Power
NET Power Total Assets component correlations
Click cells to compare fundamentals
About NET Power Financial Statements
NET Power shareholders use historical fundamental indicators, such as Total Assets, 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 Reported | Projected for Next Year | ||
| Total Assets | 2.8 B | 3 B | |
| Intangibles To Total Assets | 0.63 | 0.66 |
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
Moving against NET Stock
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.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.