Gb Sciences Stock Filter Stocks by Fundamentals
GBLX Stock | USD 0.01 0 32.00% |
GB Sciences fundamentals help investors to digest information that contributes to GB Sciences' financial success or failures. It also enables traders to predict the movement of GBLX Pink Sheet. The fundamental analysis module provides a way to measure GB Sciences' 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 GB Sciences pink sheet.
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GBLX Fundamentals
Return On Equity | -50.98 | |||
Return On Asset | -0.21 | |||
Current Valuation | 10.19 M | |||
Shares Outstanding | 379.21 M | |||
Shares Owned By Insiders | 13.08 % | |||
Price To Earning | 4.04 X | |||
Price To Book | 1.08 X | |||
Price To Sales | 1.91 X | |||
Gross Profit | (881.46 K) | |||
EBITDA | 398.73 K | |||
Net Income | (530.87 K) | |||
Cash And Equivalents | 53.96 K | |||
Total Debt | 397.31 K | |||
Debt To Equity | 1.07 % | |||
Current Ratio | 0.03 X | |||
Book Value Per Share | (0) X | |||
Cash Flow From Operations | (1.87 M) | |||
Beta | 0.56 | |||
Market Capitalization | 8.21 M | |||
Total Asset | 2.55 M | |||
Retained Earnings | (78.28 M) | |||
Working Capital | 881 K | |||
Current Asset | 2.2 M | |||
Current Liabilities | 1.32 M | |||
Z Score | -30.0 | |||
Net Asset | 2.55 M |
About GB Sciences Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GB Sciences's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GB Sciences using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of GB Sciences 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards GB Sciences in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, GB Sciences' short interest history, or implied volatility extrapolated from GB Sciences options trading.
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Try AI Portfolio ArchitectCheck out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GB Sciences. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for GBLX Pink Sheet analysis
When running GB Sciences' price analysis, check to measure GB Sciences' 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 GB Sciences is operating at the current time. Most of GB Sciences' value examination focuses on studying past and present price action to predict the probability of GB Sciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GB Sciences' price. Additionally, you may evaluate how the addition of GB Sciences to your portfolios can decrease your overall portfolio volatility.
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