Monolithic Other Operating Expenses vs Ebitda Analysis

MPWR Stock  USD 572.47  12.41  2.22%   
Monolithic Power financial indicator trend analysis is infinitely more than just investigating Monolithic Power Systems recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Monolithic Power Systems is a good investment. Please check the relationship between Monolithic Power Other Operating Expenses and its Ebitda accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Monolithic Power Systems. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.

Other Operating Expenses vs Ebitda

Other Operating Expenses vs Ebitda Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Monolithic Power Systems Other Operating Expenses account and Ebitda. At this time, the significance of the direction appears to have almost identical trend.
The correlation between Monolithic Power's Other Operating Expenses and Ebitda is 0.98. Overlapping area represents the amount of variation of Other Operating Expenses that can explain the historical movement of Ebitda in the same time period over historical financial statements of Monolithic Power Systems, assuming nothing else is changed. The correlation between historical values of Monolithic Power's Other Operating Expenses and Ebitda is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Other Operating Expenses of Monolithic Power Systems are associated (or correlated) with its Ebitda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ebitda has no effect on the direction of Other Operating Expenses i.e., Monolithic Power's Other Operating Expenses and Ebitda go up and down completely randomly.

Correlation Coefficient

0.98
Relationship DirectionPositive 
Relationship StrengthVery Strong

Other Operating Expenses

Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Monolithic Power Systems. It is also known as Monolithic Power overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.

Ebitda

Most indicators from Monolithic Power's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Monolithic Power Systems current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Monolithic Power Systems. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
At this time, Monolithic Power's Selling General Administrative is relatively stable compared to the past year. As of 11/22/2024, Tax Provision is likely to grow to about 81.4 M, while Enterprise Value Over EBITDA is likely to drop 35.47.
 2021 2022 2023 2024 (projected)
Gross Profit685.5M1.0B1.0B1.1B
Total Revenue1.2B1.8B1.8B1.9B

Monolithic Power fundamental ratios Correlations

0.470.46-0.430.40.410.480.080.510.450.460.50.520.550.370.50.50.30.340.530.450.450.330.440.530.52
0.471.0-0.930.930.390.99-0.110.981.00.980.970.960.960.980.920.990.920.971.00.960.980.971.01.00.98
0.461.0-0.940.940.360.99-0.120.971.00.970.960.950.950.990.90.980.930.980.990.950.970.980.990.990.97
-0.43-0.93-0.94-1.0-0.17-0.960.02-0.87-0.94-0.9-0.84-0.87-0.86-0.94-0.76-0.88-0.9-0.93-0.92-0.87-0.85-0.94-0.92-0.93-0.89
0.40.930.94-1.00.150.96-0.020.870.940.90.840.870.860.940.760.880.90.940.920.870.850.950.920.930.89
0.410.390.36-0.170.150.27-0.480.510.330.540.540.450.480.290.460.520.340.260.410.430.530.190.430.410.44
0.480.990.99-0.960.960.270.010.960.990.940.940.950.950.970.90.960.890.960.990.950.930.980.970.990.97
0.08-0.11-0.120.02-0.02-0.480.01-0.07-0.09-0.25-0.1-0.020.02-0.190.1-0.16-0.41-0.2-0.08-0.03-0.28-0.07-0.17-0.080.02
0.510.980.97-0.870.870.510.96-0.070.970.970.990.980.990.930.960.990.850.920.990.980.970.920.980.990.99
0.451.01.0-0.940.940.330.99-0.090.970.960.960.950.950.990.910.980.920.980.990.950.970.980.990.990.97
0.460.980.97-0.90.90.540.94-0.250.970.960.970.940.950.950.880.990.930.940.970.940.980.920.980.970.95
0.50.970.96-0.840.840.540.94-0.10.990.960.970.950.980.930.970.990.840.910.970.950.970.90.970.970.98
0.520.960.95-0.870.870.450.95-0.020.980.950.940.950.980.910.920.970.840.890.971.00.930.910.950.970.98
0.550.960.95-0.860.860.480.950.020.990.950.950.980.980.90.960.980.80.880.980.970.940.90.960.981.0
0.370.980.99-0.940.940.290.97-0.190.930.990.950.930.910.90.860.950.961.00.970.910.960.990.980.970.92
0.50.920.9-0.760.760.460.90.10.960.910.880.970.920.960.860.930.710.840.930.910.90.850.910.920.95
0.50.990.98-0.880.880.520.96-0.160.990.980.990.990.970.980.950.930.90.940.990.970.980.930.990.990.98
0.30.920.93-0.90.90.340.89-0.410.850.920.930.840.840.80.960.710.90.960.90.850.920.930.930.90.83
0.340.970.98-0.930.940.260.96-0.20.920.980.940.910.890.881.00.840.940.960.950.90.950.990.970.960.91
0.531.00.99-0.920.920.410.99-0.080.990.990.970.970.970.980.970.930.990.90.950.970.970.960.991.00.99
0.450.960.95-0.870.870.430.95-0.030.980.950.940.951.00.970.910.910.970.850.90.970.940.920.960.970.98
0.450.980.97-0.850.850.530.93-0.280.970.970.980.970.930.940.960.90.980.920.950.970.940.920.980.970.94
0.330.970.98-0.940.950.190.98-0.070.920.980.920.90.910.90.990.850.930.930.990.960.920.920.970.960.93
0.441.00.99-0.920.920.430.97-0.170.980.990.980.970.950.960.980.910.990.930.970.990.960.980.970.990.97
0.531.00.99-0.930.930.410.99-0.080.990.990.970.970.970.980.970.920.990.90.961.00.970.970.960.990.99
0.520.980.97-0.890.890.440.970.020.990.970.950.980.981.00.920.950.980.830.910.990.980.940.930.970.99
Click cells to compare fundamentals

Monolithic Power Account Relationship Matchups

Monolithic Power fundamental ratios Accounts

201920202021202220232024 (projected)
Common Stock Shares Outstanding45.8M47.0M47.9M48.4M48.8M35.2M
Total Assets956.4M1.2B1.6B2.1B2.4B2.6B
Total Stockholder Equity773.5M966.6M1.2B1.7B2.0B2.2B
Net Debt(170.6M)(331.8M)(183.5M)(284.8M)(522.3M)(496.2M)
Cash173.0M334.9M189.3M288.6M527.8M554.2M
Other Assets60.3M101.4M91.4M273.1M1.00.95
Cash And Short Term Investments455.4M595.1M725.1M737.9M1.1B1.2B
Liabilities And Stockholders Equity956.4M1.2B1.6B2.1B2.4B2.6B
Other Stockholder Equity(476K)10.1M15.9M(23.1M)(1.0)(0.95)
Total Liab182.9M241.9M341.8M390.3M384.4M403.6M
Total Current Assets655.2M842.0M1.1B1.4B1.8B1.9B
Other Current Liab66.3M103.6M93.7M186.3M164.0M172.2M
Total Current Liabilities98.2M147.0M226.9M263.4M235.0M246.8M
Other Liab83.6M94.9M114.9M125.2M144.0M151.2M
Property Plant And Equipment Net228.3M281.5M363.0M357.2M377.3M396.2M
Retained Earnings229.5M298.7M424.9M716.4M947.1M994.4M
Accounts Payable27.3M38.2M83.0M61.5M63.0M66.1M
Non Current Assets Total301.2M366.5M461.0M648.3M614.9M645.6M
Non Currrent Assets Other46.0M53.6M13.8M184.4M202.2M212.3M
Net Receivables52.7M66.8M104.8M182.7M250.0M262.5M
Common Stock Total Equity549.5M657.7M803.2M975.3M1.1B1.2B
Non Current Liabilities Total84.7M94.9M114.9M126.9M149.4M156.8M
Inventory127.5M157.1M259.4M447.3M383.7M402.9M
Other Current Assets19.6M23.0M35.5M42.7M77.3M81.2M
Property Plant And Equipment Gross231.2M285.2M363.0M551.3M598.4M628.3M
Accumulated Other Comprehensive Income(5.5M)10.1M15.9M(23.1M)(27.1M)(25.7M)
Common Stock549.5M657.7M803.2M975.3M1.1B1.2B
Property Plant Equipment228.3M281.5M363.0M357.2M410.7M431.3M
Short Term Investments282.4M260.2M535.8M449.3M580.6M609.7M
Current Deferred Revenue3.4M7.2M4.3M(2.1M)65.8M69.0M
Net Tangible Assets766.9M966.6M1.2B1.7B1.9B2.0B
Retained Earnings Total Equity229.5M298.7M424.9M716.4M823.9M865.1M
Long Term Investments5.3M3.2M3.1M6.3M5.6M5.5M
Non Current Liabilities Other37.6M94.9M114.9M73.4M2.2M2.1M
Net Invested Capital773.5M966.6M1.2B1.7B2.0B1.2B
Net Working Capital557.0M695.0M897.9M1.1B1.6B906.0M
Capital Stock549.5M657.7M803.2M975.3M1.1B837.2M

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 together with Monolithic Stock

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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.