Network Retained Earnings Total Equity from 2010 to 2025

NTIP Stock  USD 1.39  0.01  0.72%   
Network 1 Retained Earnings Total Equity yearly trend continues to be relatively stable with very little volatility. Retained Earnings Total Equity is likely to drop to about -20.8 M. Retained Earnings Total Equity is the portion of total equity that consists of earnings retained by the company, reinvested in its core business or used to pay debt. View All Fundamentals
 
Retained Earnings Total Equity  
First Reported
2011-06-30
Previous Quarter
-14.3 M
Current Value
-14.8 M
Quarterly Volatility
10.6 M
 
Yuan Drop
 
Covid
Check Network 1 financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Network 1's main balance sheet or income statement drivers, such as Depreciation And Amortization of 386.8 K, Interest Expense of 4.6 M or Total Revenue of 2.8 M, as well as many indicators such as Price To Sales Ratio of 21.88, Dividend Yield of 0.0486 or PTB Ratio of 0.97. Network financial statements analysis is a perfect complement when working with Network 1 Valuation or Volatility modules.
  
Check out the analysis of Network 1 Correlation against competitors.

Latest Network 1's Retained Earnings Total Equity Growth Pattern

Below is the plot of the Retained Earnings Total Equity of Network 1 Technologies over the last few years. It is the portion of total equity that consists of earnings retained by the company, reinvested in its core business or used to pay debt. Network 1's Retained Earnings Total Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Network 1's overall financial position and show how it may be relating to other accounts over time.
Retained Earnings Total Equity10 Years Trend
Slightly volatile
   Retained Earnings Total Equity   
-9.7M-10.2M-7.1M-12.6M-17.2M-19.8M-20.8M100%
       Timeline  

Network Retained Earnings Total Equity Regression Statistics

Arithmetic Mean(21,061,906)
Geometric Mean19,045,839
Coefficient Of Variation(42.89)
Mean Deviation7,706,945
Median(17,193,000)
Standard Deviation9,033,854
Sample Variance81.6T
Range27.2M
R-Value0.57
Mean Square Error59.2T
R-Squared0.32
Significance0.02
Slope1,077,577
Total Sum of Squares1224.2T

Network Retained Earnings Total Equity History

2025-20.8 M
2024-19.8 M
2020-17.2 M
2019-12.6 M
2018-7.1 M
2017-10.2 M
2016-9.7 M

About Network 1 Financial Statements

Network 1 shareholders use historical fundamental indicators, such as Retained Earnings Total Equity, to determine how well the company is positioned to perform in the future. Although Network 1 investors may analyze each financial statement separately, they are all interrelated. The changes in Network 1's assets and liabilities, for example, are also reflected in the revenues and expenses on on Network 1'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
Retained Earnings Total Equity-19.8 M-20.8 M

Pair Trading with Network 1

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 Network 1 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 Network 1 will appreciate offsetting losses from the drop in the long position's value.

Moving against Network Stock

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The ability to find closely correlated positions to Network 1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Network 1 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 Network 1 - 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 Network 1 Technologies to buy it.
The correlation of Network 1 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 Network 1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Network 1 Technologies 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 Network 1 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 Network Stock Analysis

When running Network 1's price analysis, check to measure Network 1'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 Network 1 is operating at the current time. Most of Network 1's value examination focuses on studying past and present price action to predict the probability of Network 1's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Network 1's price. Additionally, you may evaluate how the addition of Network 1 to your portfolios can decrease your overall portfolio volatility.