ZW Data Price To Book vs. Revenue
Earnings Share -0.70 | Revenue Per Share | Quarterly Revenue Growth -0.47 | Return On Assets | Return On Equity |
The market value of ZW Data Action is measured differently than book value, which reflects CNET accounting equity. ZW Data's market capitalization is 2.43 M. A P/B ratio of 0.76 suggests ZW Data trades near or below book value. Enterprise value stands at 954.1 K. Intrinsic value is an analytical estimate of ZW Data's underlying worth that can differ from price and book value. Valuation methods help interpret those gaps.
Note that ZW Data's intrinsic value and market price are different measures derived from different inputs. For ZW Data, key inputs include a P/B ratio of 0.76, a profit margin of -33.36%, ROE of -49.51%, and revenue of 15.44 M. Market price reflects the current exchange level formed by active bids and offers.
ZW Data Action Revenue vs. Price To Book Fundamental Analysis
Cross-company financial ratios help determine ZW Data's valuation standing. ZW Data Action is rated below average. in price to book category among its top competitors. It is rated below average. in revenue category among its top competitors totaling about 20,416,556 of Revenue per Price To Book. Total Revenue is dropping compared to historical levels. ZW Data reported 17.75 Million in Total Revenue for the previous period. Comparative pricing ratios position ZW Data within industry norms.CNET Revenue vs. Price To Book
Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
ZW Data |
| = | 0.76 X |
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
Revenue is income that a firm generates from business activities such us rendering services or selling goods to customers. It is a crucial part of a business and an essential item when evaluating a company's financial statements. Revenues from a firm's primary business operations can be reported on the income statement as sales revenue, net sales, or simply sales, depending on the industry in which a given company operates.
ZW Data |
| = | 15.44 M |
Revenue is typically recorded when cash or cash equivalents are exchanged for services or goods and can include products or services discounts, promotions, as well as early payments on invoices or services rendered in advance.
CNET Revenue vs Competition
ZW Data Action is rated below average. in revenue category among its top competitors. Market size based on revenue of Communication Services industry is currently estimated at about 1.31 Billion. ZW Data claims roughly 15.44 Million in revenue contributing just under 2% to market share in Communication Services space.
ZW Data Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in ZW Data, profitability is also one of the essential criteria for including it into their portfolios because, without profit, ZW Data will eventually generate negative long term returns. The profitability progress is the general direction of ZW Data's change in net profit over the period of time. It can combine multiple indicators of ZW Data, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
| Last Reported | Projected for Next Year | ||
| Accumulated Other Comprehensive Income | 4.6 M | 4.8 M | |
| Operating Income | -3.4 M | -3.6 M | |
| Income Before Tax | -3 M | -3.2 M | |
| Total Other Income Expense Net | 445.1 K | 422.8 K | |
| Net Loss | -3.4 M | -3.6 M | |
| Income Tax Expense | 359.1 K | 187.2 K | |
| Net Loss | -8.8 M | -8.4 M | |
| Net Loss | -3.4 M | -3.6 M | |
| Non Operating Income Net Other | 577.3 K | 319.5 K | |
| Interest Income | 268.2 K | 237.2 K | |
| Net Interest Income | 342.7 K | 359.8 K | |
| Change To Netincome | 3.8 M | 2.8 M | |
| Net Loss | -2.14 | -2.03 | |
| Income Quality | 0.49 | 0.52 | |
| Net Income Per E B T | 1.00 | 0.70 |
CNET Profitability Driver Comparison
Profitability drivers for ZW Data are the financial and operational factors that most directly influence its earnings. Investors must contend with a wide range of external shocks - from regulatory changes to commodity price swings - that can disrupt ZW Data's financial results.
Earnings per Share Projection vs Actual
Use ZW Data in pair-trading
Pair trading with ZW Data can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.
ZW Data Pair Trading
ZW Data Action Pair Trading Analysis
Using correlated positions as ZW Data substitutes during tax-loss harvesting allows investors to capture a tax benefit without disrupting portfolio allocation. The key is finding instruments that track ZW Data Action closely enough to maintain equivalent risk and return.
The correlation of ZW Data with other assets is a key diversification metric. Pairing ZW Data Action with uncorrelated or negatively correlated instruments can reduce overall portfolio volatility without necessarily reducing expected returns.
Correlation analysis and pair trading evaluation for ZW Data can be used to frame hedging context. The view can be extended across sectors or other related groups.Use Investing Themes to Complement your ZW Data position
Using ZW Data Action inside a theme workflow gives investors a structured way to compare related stocks, funds, ETFs, and crypto assets before allocating capital. The practical benefit is that the selected idea can be tuned either for higher upside or for tighter risk control.
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