Zw Data Action Stock Retained Earnings
| CNET Stock | USD 0.85 0.05 5.56% |
ZW Data Action fundamentals help investors to digest information that contributes to ZW Data's financial success or failures. It also enables traders to predict the movement of CNET Stock. The fundamental analysis module provides a way to measure ZW Data'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 ZW Data stock.
| Last Reported | Projected for Next Year | ||
| Retained Earnings | -61.6 M | -64.6 M | |
| Retained Earnings Total Equity | -36.9 M | -35 M |
CNET | Retained Earnings |
ZW Data Action Company Retained Earnings Analysis
ZW Data's Retained Earnings is a balance sheet account that refers to the portion of company income that is retained by the firm. In other words, it is a part of earnings that is not paid out as dividends or otherwise distributed to owners. Retained Earnings are calculated by adding net income to last period retained earnings and subtracting any dividends paid to owners.
More About Retained Earnings | All Equity Analysis
Retained Earnings | = | Beginning RE + Income | - | Dividends |
Current ZW Data Retained Earnings | (53.52 M) |
Most of ZW Data's fundamental indicators, such as Retained Earnings, 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, ZW Data Action is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
CNET Retained Earnings Driver Correlations
Understanding the fundamental principles of building solid financial models for ZW Data is extremely important. It helps to project a fair market value of CNET Stock properly, considering its historical fundamentals such as Retained Earnings. Since ZW Data'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 ZW Data'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 ZW Data's interrelated accounts and indicators.
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Retained Earnings shows how the firm utilizes its profits over time. In simple terms, investors can think of retained earnings as the amount of profit the company has reinvested in the business since its inceptions. However the methodology to make a decision over how much profit to retain is different between companies in different industries. For example, growing industries tend to retain more of their earnings than more matured industries as they need more assets investment to sustain their growth.
| Competition |
Based on the latest financial disclosure, ZW Data Action has a Retained Earnings of (53.52 Million). This is 100.13% lower than that of the Media sector and significantly lower than that of the Communication Services industry. The retained earnings for all United States stocks is 100.57% higher than that of the company.
CNET Retained Earnings Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses ZW Data's direct or indirect competition against its Retained Earnings to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of ZW Data could also be used in its relative valuation, which is a method of valuing ZW Data by comparing valuation metrics of similar companies.ZW Data is rated fourth in retained earnings category among its peers.
ZW Data Current Valuation Drivers
We derive many important indicators used in calculating different scores of ZW Data from analyzing ZW Data's financial statements. These drivers represent accounts that assess ZW Data's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of ZW Data's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 21.3M | 20.0M | 29.2M | 16.4M | 18.9M | 29.2M | |
| Enterprise Value | 18.5M | 19.1M | 25.3M | 14.1M | 16.3M | 27.0M |
CNET Fundamentals
| Return On Equity | -0.69 | ||||
| Return On Asset | -0.22 | ||||
| Profit Margin | (0.29) % | ||||
| Operating Margin | (0.17) % | ||||
| Current Valuation | 6.82 M | ||||
| Shares Outstanding | 7.2 M | ||||
| Shares Owned By Insiders | 17.94 % | ||||
| Number Of Shares Shorted | 2.56 K | ||||
| Price To Earning | (2.43) X | ||||
| Price To Book | 0.87 X | ||||
| Price To Sales | 0.24 X | ||||
| Revenue | 29.74 M | ||||
| Gross Profit | (194 K) | ||||
| EBITDA | (3.58 M) | ||||
| Net Income | (8.59 M) | ||||
| Cash And Equivalents | 4.45 M | ||||
| Cash Per Share | 0.12 X | ||||
| Total Debt | 2.11 M | ||||
| Debt To Equity | 0.12 % | ||||
| Current Ratio | 2.70 X | ||||
| Book Value Per Share | 1.14 X | ||||
| Cash Flow From Operations | (316 K) | ||||
| Short Ratio | 0.11 X | ||||
| Earnings Per Share | (1.20) X | ||||
| Target Price | 27.7 | ||||
| Number Of Employees | 64 | ||||
| Beta | 0.57 | ||||
| Market Capitalization | 6.47 M | ||||
| Total Asset | 19.66 M | ||||
| Retained Earnings | (53.52 M) | ||||
| Working Capital | 6.61 M | ||||
| Current Asset | 21.04 M | ||||
| Current Liabilities | 7.37 M | ||||
| Net Asset | 19.66 M |
About ZW Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze ZW Data Action's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ZW Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ZW Data Action 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 ZW Data
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 ZW Data 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 ZW Data will appreciate offsetting losses from the drop in the long position's value.Moving against CNET Stock
| 0.83 | SE | Sea | PairCorr |
| 0.75 | FWONA | Liberty Media Earnings Call This Week | PairCorr |
| 0.75 | FWONK | Liberty Media Earnings Call This Week | PairCorr |
| 0.74 | GCI | Gannett | PairCorr |
| 0.73 | WPP | WPP PLC ADR | PairCorr |
The ability to find closely correlated positions to ZW Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ZW Data 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 ZW Data - 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 ZW Data Action to buy it.
The correlation of ZW Data 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 ZW Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ZW Data Action 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 ZW Data 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 CNET Stock Analysis
When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.