Monolithic Total Current Liabilities from 2010 to 2024
| MPWR Stock | USD 560.24 11.84 2.07% |
Total Current Liabilities | First Reported 2002-12-31 | Previous Quarter 295.2 M | Current Value 336.6 M | Quarterly Volatility 90.5 M |
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 280.2 M or Total Revenue of 1.9 B, as well as many indicators such as Price To Sales Ratio of 11.19, Dividend Yield of 0.0059 or PTB Ratio of 11.77. Monolithic financial statements analysis is a perfect complement when working with Monolithic Power Valuation or Volatility modules.
Monolithic | Total Current Liabilities |
Latest Monolithic Power's Total Current Liabilities Growth Pattern
Below is the plot of the Total Current Liabilities of Monolithic Power Systems over the last few years. Total Current Liabilities is an item on Monolithic Power balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Monolithic Power Systems are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. It is the total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. Monolithic Power's Total Current Liabilities 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.
| Total Current Liabilities | 10 Years Trend |
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Total Current Liabilities |
| Timeline |
Monolithic Total Current Liabilities Regression Statistics
| Arithmetic Mean | 105,745,298 | |
| Geometric Mean | 64,199,776 | |
| Coefficient Of Variation | 87.54 | |
| Mean Deviation | 78,721,101 | |
| Median | 64,795,000 | |
| Standard Deviation | 92,568,350 | |
| Sample Variance | 8568.9T | |
| Range | 260.9M | |
| R-Value | 0.93 | |
| Mean Square Error | 1261.4T | |
| R-Squared | 0.86 | |
| Slope | 19,232,254 | |
| Total Sum of Squares | 119964.6T |
Monolithic Total Current Liabilities History
About Monolithic Power Financial Statements
Monolithic Power shareholders use historical fundamental indicators, such as Total Current Liabilities, 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 Reported | Projected for Next Year | ||
| Total Current Liabilities | 235 M | 246.8 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 together with Monolithic Stock
Moving against Monolithic Stock
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| 0.79 | RMBS | Rambus Inc | PairCorr |
| 0.6 | SITM | Sitime | PairCorr |
| 0.5 | INTC | Intel Fiscal Year End 23rd of January 2025 | PairCorr |
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.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.