Himalaya Shipping Stock Price To Earnings To Growth
| HSHP Stock | 6.73 0.19 2.75% |
Himalaya Shipping fundamentals help investors to digest information that contributes to Himalaya Shipping's financial success or failures. It also enables traders to predict the movement of Himalaya Stock. The fundamental analysis module provides a way to measure Himalaya Shipping's 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 Himalaya Shipping stock.
Himalaya |
Himalaya Shipping Company Price To Earnings To Growth Analysis
Himalaya Shipping's PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Himalaya Price To Earnings To Growth Driver Correlations
Understanding the fundamental principles of building solid financial models for Himalaya Shipping is extremely important. It helps to project a fair market value of Himalaya Stock properly, considering its historical fundamentals such as Price To Earnings To Growth. Since Himalaya Shipping's 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 Himalaya Shipping's 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 Himalaya Shipping's interrelated accounts and indicators.
Click cells to compare fundamentals
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
| Competition |
Based on the latest financial disclosure, Himalaya Shipping has a Price To Earnings To Growth of 0.0 times. This is 100.0% lower than that of the Marine Transportation sector and about the same as Industrials (which currently averages 0.0) industry. The price to earnings to growth for all United States stocks is 100.0% higher than that of the company.
Himalaya Price To Earnings To Growth Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Himalaya Shipping's direct or indirect competition against its Price To Earnings To Growth to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Himalaya Shipping could also be used in its relative valuation, which is a method of valuing Himalaya Shipping by comparing valuation metrics of similar companies.Himalaya Shipping is currently under evaluation in price to earnings to growth category among its peers.
Himalaya Fundamentals
| Return On Equity | 0.17 | ||||
| Return On Asset | 0.0538 | ||||
| Profit Margin | 0.22 % | ||||
| Operating Margin | 0.60 % | ||||
| Current Valuation | 1 B | ||||
| Shares Outstanding | 43.9 M | ||||
| Shares Owned By Insiders | 32.30 % | ||||
| Shares Owned By Institutions | 18.48 % | ||||
| Number Of Shares Shorted | 339.36 K | ||||
| Price To Book | 1.90 X | ||||
| Price To Sales | 2.72 X | ||||
| Revenue | 38.12 M | ||||
| EBITDA | 25.15 M | ||||
| Net Income | 1.51 M | ||||
| Total Debt | 438.19 M | ||||
| Book Value Per Share | 3.65 X | ||||
| Cash Flow From Operations | 9.52 M | ||||
| Short Ratio | 3.31 X | ||||
| Earnings Per Share | 0.58 X | ||||
| Target Price | 10.0 | ||||
| Beta | 0.86 | ||||
| Market Capitalization | 305.87 M | ||||
| Total Asset | 597.43 M | ||||
| Retained Earnings | (1.48 M) | ||||
| Working Capital | 7.51 M | ||||
| Annual Yield | 0.07 % | ||||
| Net Asset | 597.43 M |
About Himalaya Shipping Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Himalaya Shipping's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Himalaya Shipping using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Himalaya Shipping 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 Himalaya Shipping
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 Himalaya Shipping 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 Himalaya Shipping will appreciate offsetting losses from the drop in the long position's value.Moving together with Himalaya Stock
Moving against Himalaya Stock
The ability to find closely correlated positions to Himalaya Shipping could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Himalaya Shipping 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 Himalaya Shipping - 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 Himalaya Shipping to buy it.
The correlation of Himalaya Shipping 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 Himalaya Shipping moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Himalaya Shipping 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 Himalaya Shipping 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 Himalaya Stock Analysis
When running Himalaya Shipping's price analysis, check to measure Himalaya Shipping'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 Himalaya Shipping is operating at the current time. Most of Himalaya Shipping's value examination focuses on studying past and present price action to predict the probability of Himalaya Shipping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Himalaya Shipping's price. Additionally, you may evaluate how the addition of Himalaya Shipping to your portfolios can decrease your overall portfolio volatility.