Getswift Technologies Limited Stock Return On Asset
| GTSWQDelisted Stock | USD 0.0001 0.00 0.00% |
GetSwift Technologies Limited fundamentals help investors to digest information that contributes to GetSwift Technologies' financial success or failures. It also enables traders to predict the movement of GetSwift Pink Sheet. The fundamental analysis module provides a way to measure GetSwift Technologies' 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 GetSwift Technologies pink sheet.
GetSwift |
GetSwift Technologies Limited Company Return On Asset Analysis
GetSwift Technologies' Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Current GetSwift Technologies Return On Asset | -0.29 |
Most of GetSwift Technologies' fundamental indicators, such as Return On Asset, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, GetSwift Technologies Limited is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
CompetitionBased on the latest financial disclosure, GetSwift Technologies Limited has a Return On Asset of -0.2886. This is 90.01% lower than that of the Technology sector and significantly lower than that of the Software-Application industry. The return on asset for all United States stocks is 106.14% higher than that of the company.
GetSwift Return On Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses GetSwift Technologies' direct or indirect competition against its Return On Asset to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of GetSwift Technologies could also be used in its relative valuation, which is a method of valuing GetSwift Technologies by comparing valuation metrics of similar companies.GetSwift Technologies is currently under evaluation in return on asset category among its peers.
GetSwift Fundamentals
| Return On Equity | -1.55 | |||
| Return On Asset | -0.29 | |||
| Profit Margin | (0.49) % | |||
| Operating Margin | (0.47) % | |||
| Current Valuation | (11.23 M) | |||
| Shares Owned By Insiders | 24.62 % | |||
| Shares Owned By Institutions | 10.69 % | |||
| Price To Book | 0.03 X | |||
| Price To Sales | 0.16 X | |||
| Revenue | 33.84 M | |||
| Gross Profit | 732.58 K | |||
| EBITDA | (12.8 M) | |||
| Net Income | (23.52 M) | |||
| Book Value Per Share | (0.03) X | |||
| Cash Flow From Operations | (14.58 M) | |||
| Target Price | 0.75 | |||
| Number Of Employees | 200 | |||
| Beta | 0.0915 |
About GetSwift Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GetSwift Technologies Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GetSwift Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of GetSwift Technologies Limited 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 GetSwift Technologies
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 GetSwift Technologies 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 GetSwift Technologies will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to GetSwift Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GetSwift Technologies 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 GetSwift Technologies - 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 GetSwift Technologies Limited to buy it.
The correlation of GetSwift Technologies 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 GetSwift Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GetSwift 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 GetSwift Technologies 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.Check out Risk vs Return Analysis to better understand how to build diversified portfolios. 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. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Other Consideration for investing in GetSwift Pink Sheet
If you are still planning to invest in GetSwift Technologies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the GetSwift Technologies' history and understand the potential risks before investing.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format |