Monolithic End Period Cash Flow from 2010 to 2025

MPWR Stock  USD 653.87  2.42  0.37%   
Monolithic Power End Period Cash Flow yearly trend continues to be relatively stable with very little volatility. End Period Cash Flow is likely to grow to about 677.6 M this year. During the period from 2010 to 2025, Monolithic Power End Period Cash Flow destribution of quarterly values had range of 602.5 M from its regression line and mean deviation of  160,932,049. View All Fundamentals
 
End Period Cash Flow  
First Reported
2002-12-31
Previous Quarter
550.5 M
Current Value
700.5 M
Quarterly Volatility
136.9 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Monolithic Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Monolithic Power's main balance sheet or income statement drivers, such as Interest Expense of 17.4 M, Selling General Administrative of 322.3 M or Total Revenue of 2.2 B, as well as many indicators such as Price To Sales Ratio of 11.19, Dividend Yield of 0.0124 or PTB Ratio of 11.77. Monolithic financial statements analysis is a perfect complement when working with Monolithic Power Valuation or Volatility modules.
  
Check out the analysis of Monolithic Power Correlation against competitors.

Latest Monolithic Power's End Period Cash Flow Growth Pattern

Below is the plot of the End Period Cash Flow of Monolithic Power Systems over the last few years. It is Monolithic Power's End Period Cash Flow historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Monolithic Power's overall financial position and show how it may be relating to other accounts over time.
End Period Cash Flow10 Years Trend
Slightly volatile
   End Period Cash Flow   
       Timeline  

Monolithic End Period Cash Flow Regression Statistics

Arithmetic Mean244,101,763
Geometric Mean184,905,191
Coefficient Of Variation83.88
Mean Deviation160,932,049
Median173,076,000
Standard Deviation204,748,904
Sample Variance41922.1T
Range602.5M
R-Value0.81
Mean Square Error15631.6T
R-Squared0.65
Significance0.0002
Slope34,725,366
Total Sum of Squares628831.7T

Monolithic End Period Cash Flow History

2025677.6 M
2024645.4 M
2023561.2 M
2022288.7 M
2021189.4 M
2020335.1 M
2019173.1 M

About Monolithic Power Financial Statements

Monolithic Power shareholders use historical fundamental indicators, such as End Period Cash Flow, to determine how well the company is positioned to perform in the future. Although Monolithic Power investors may analyze each financial statement separately, they are all interrelated. The changes in Monolithic Power's assets and liabilities, for example, are also reflected in the revenues and expenses on on Monolithic 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
End Period Cash Flow645.4 M677.6 M

Pair Trading with Monolithic 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 Monolithic 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 Monolithic Power will appreciate offsetting losses from the drop in the long position's value.

Moving against Monolithic Stock

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The ability to find closely correlated positions to Monolithic 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 Monolithic 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 Monolithic 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 Monolithic Power Systems to buy it.
The correlation of Monolithic 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 Monolithic Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Monolithic Power Systems 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 Monolithic 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 Monolithic Stock Analysis

When running Monolithic Power's price analysis, check to measure Monolithic 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 Monolithic Power is operating at the current time. Most of Monolithic Power's value examination focuses on studying past and present price action to predict the probability of Monolithic 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 Monolithic Power's price. Additionally, you may evaluate how the addition of Monolithic Power to your portfolios can decrease your overall portfolio volatility.