Richtech Robotics Class Stock Last Dividend Paid
| RR Stock | 1.23 0.26 26.80% |
Richtech Robotics Class fundamentals help investors to digest information that contributes to Richtech Robotics' financial success or failures. It also enables traders to predict the movement of Richtech Stock. The fundamental analysis module provides a way to measure Richtech Robotics' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Richtech Robotics stock.
Richtech | Last Dividend Paid |
Richtech Robotics Class Company Last Dividend Paid Analysis
Richtech Robotics' Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
More About Last Dividend Paid | All Equity Analysis
Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Richtech Last Dividend Paid Driver Correlations
Understanding the fundamental principles of building solid financial models for Richtech Robotics is extremely important. It helps to project a fair market value of Richtech Stock properly, considering its historical fundamentals such as Last Dividend Paid. Since Richtech Robotics' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Richtech Robotics' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Richtech Robotics' interrelated accounts and indicators.
Click cells to compare fundamentals
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
| Competition |
Based on the recorded statements, Richtech Robotics Class has a Last Dividend Paid of 0.0. This indicator is about the same for the Machinery average (which is currently at 0.0) sector and about the same as Industrials (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Richtech Last Dividend Paid Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Richtech Robotics' direct or indirect competition against its Last Dividend Paid to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Richtech Robotics could also be used in its relative valuation, which is a method of valuing Richtech Robotics by comparing valuation metrics of similar companies.Richtech Robotics is currently under evaluation in last dividend paid category among its peers.
Richtech Fundamentals
| Return On Equity | -0.51 | ||||
| Return On Asset | -0.0963 | ||||
| Profit Margin | (0.33) % | ||||
| Operating Margin | (0.62) % | ||||
| Current Valuation | 86.47 M | ||||
| Shares Outstanding | 55.47 M | ||||
| Shares Owned By Insiders | 9.07 % | ||||
| Shares Owned By Institutions | 2.77 % | ||||
| Number Of Shares Shorted | 2.32 M | ||||
| Price To Book | 10.21 X | ||||
| Price To Sales | 10.17 X | ||||
| Revenue | 8.76 M | ||||
| EBITDA | 289 K | ||||
| Net Income | (339 K) | ||||
| Total Debt | 1.16 M | ||||
| Book Value Per Share | 0.13 X | ||||
| Cash Flow From Operations | (2.91 M) | ||||
| Short Ratio | 1.11 X | ||||
| Earnings Per Share | (0.04) X | ||||
| Number Of Employees | 51 | ||||
| Market Capitalization | 92.68 M | ||||
| Total Asset | 7.85 M | ||||
| Retained Earnings | 201 K | ||||
| Working Capital | 4.09 M | ||||
| Net Asset | 7.85 M |
About Richtech Robotics Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Richtech Robotics Class's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Richtech Robotics using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Richtech Robotics Class based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Richtech Robotics
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 Richtech Robotics 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 Richtech Robotics will appreciate offsetting losses from the drop in the long position's value.Moving against Richtech Stock
| 0.65 | DCI | Donaldson | PairCorr |
| 0.42 | BW | Babcock Wilcox Enter | PairCorr |
| 0.4 | B | Barnes Group | PairCorr |
| 0.36 | IR | Ingersoll Rand | PairCorr |
| 0.35 | CR | Crane Company | PairCorr |
The ability to find closely correlated positions to Richtech Robotics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Richtech Robotics 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 Richtech Robotics - 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 Richtech Robotics Class to buy it.
The correlation of Richtech Robotics 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 Richtech Robotics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Richtech Robotics Class 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 Richtech Robotics 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 Richtech Stock Analysis
When running Richtech Robotics' price analysis, check to measure Richtech Robotics' 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 Richtech Robotics is operating at the current time. Most of Richtech Robotics' value examination focuses on studying past and present price action to predict the probability of Richtech Robotics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Richtech Robotics' price. Additionally, you may evaluate how the addition of Richtech Robotics to your portfolios can decrease your overall portfolio volatility.