Golden Ocean Group Stock Working Capital
| GOGL Stock | NOK 122.45 0.05 0.04% |
Golden Ocean Group fundamentals help investors to digest information that contributes to Golden Ocean's financial success or failures. It also enables traders to predict the movement of Golden Stock. The fundamental analysis module provides a way to measure Golden Ocean'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 Golden Ocean stock.
Golden |
Golden Ocean Group Company Working Capital Analysis
Golden Ocean's Working Capital is a measure of company efficiency and operating liquidity. The working capital is usually calculated by subtracting Current Liabilities from Current Assets. It is an important indicator of the firm ability to continue its normal operations without additional debt obligations. .
More About Working Capital | All Equity Analysis
Working Capital | = | Current Assets | - | Current Liabilities |
Current Golden Ocean Working Capital | 97 M |
Most of Golden Ocean's fundamental indicators, such as Working Capital, 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, Golden Ocean Group is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Working Capital can be positive or negative, depending on how much of current debt the company is carrying on its balance sheet. In general terms, companies that have a lot of working capital will experience more growth in the near future since they can expand and improve their operations using existing resources. On the other hand, companies with small or negative working capital may lack the funds necessary for growth or future operation. Working Capital also shows if the company has sufficient liquid resources to satisfy short-term liabilities and operational expenses.
| Competition |
According to the company's disclosures, Golden Ocean Group has a Working Capital of 97 M. This is 69.9% lower than that of the Industrials sector and notably lower than that of the Shipping & Ports industry. The working capital for all Norway stocks is 93.44% higher than that of the company.
Golden Working Capital Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Golden Ocean's direct or indirect competition against its Working Capital to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Golden Ocean could also be used in its relative valuation, which is a method of valuing Golden Ocean by comparing valuation metrics of similar companies.Golden Ocean is currently under evaluation in working capital category among its peers.
Golden Fundamentals
| Return On Equity | 0.31 | |||
| Return On Asset | 0.096 | |||
| Profit Margin | 0.48 % | |||
| Operating Margin | 0.43 % | |||
| Current Valuation | 29.68 B | |||
| Shares Outstanding | 200.42 M | |||
| Shares Owned By Insiders | 39.16 % | |||
| Shares Owned By Institutions | 33.02 % | |||
| Price To Earning | 134.86 X | |||
| Price To Book | 0.92 X | |||
| Price To Sales | 14.62 X | |||
| Revenue | 1.2 B | |||
| Gross Profit | 649.86 M | |||
| EBITDA | 691.22 M | |||
| Net Income | 527.22 M | |||
| Cash And Equivalents | 139.29 M | |||
| Cash Per Share | 0.97 X | |||
| Total Debt | 1.26 B | |||
| Debt To Equity | 90.10 % | |||
| Current Ratio | 0.72 X | |||
| Book Value Per Share | 9.57 X | |||
| Cash Flow From Operations | 560.4 M | |||
| Earnings Per Share | 30.83 X | |||
| Target Price | 0.9 | |||
| Number Of Employees | 37 | |||
| Beta | 1.32 | |||
| Market Capitalization | 19.43 B | |||
| Total Asset | 3.45 B | |||
| Retained Earnings | 282 M | |||
| Working Capital | 97 M | |||
| Current Asset | 251 M | |||
| Current Liabilities | 154 M | |||
| Z Score | 9.0 | |||
| Annual Yield | 0.22 % | |||
| Five Year Return | 10.66 % | |||
| Net Asset | 3.45 B | |||
| Last Dividend Paid | 2.35 |
About Golden Ocean Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Golden Ocean Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Golden Ocean using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Golden Ocean Group 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.
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Try AI Portfolio ArchitectAdditional Information and Resources on Investing in Golden Stock
When determining whether Golden Ocean Group is a strong investment it is important to analyze Golden Ocean's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Golden Ocean's future performance. For an informed investment choice regarding Golden Stock, refer to the following important reports:Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Golden Ocean Group. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.