ZW Data Action Net Income
| CNET Stock | USD 0.93 0.24 34.10% |
As of the 10th of February, ZW Data owns the market risk adjusted performance of 2.38, and Information Ratio of (0.25). ZW Data Action technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the company's future prices.
ZW Data Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 0.2481 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Loss | -3.4 M | -3.6 M | |
| Net Loss | -8.8 M | -8.4 M | |
| Net Loss | -3.4 M | -3.6 M | |
| Net Loss | (2.14) | (2.03) | |
| Net Income Per E B T | 1.00 | 0.70 |
CNET | Net Income | Build AI portfolio with CNET Stock |
The evolution of Net Income for ZW Data Action provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how ZW Data compares to historical norms and industry peers.
Latest ZW Data's Net Income Growth Pattern
Below is the plot of the Net Income of ZW Data Action over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in ZW Data Action financial statement analysis. It represents the amount of money remaining after all of ZW Data Action operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is ZW Data's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ZW Data's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported (3.77 M) | 10 Years Trend |
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Net Income |
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CNET Net Income Regression Statistics
| Arithmetic Mean | (4,503,673) | |
| Coefficient Of Variation | (111.96) | |
| Mean Deviation | 3,910,976 | |
| Median | (3,554,145) | |
| Standard Deviation | 5,042,119 | |
| Sample Variance | 25.4T | |
| Range | 17.1M | |
| R-Value | (0.17) | |
| Mean Square Error | 26.4T | |
| R-Squared | 0.03 | |
| Significance | 0.53 | |
| Slope | (165,018) | |
| Total Sum of Squares | 406.8T |
CNET Net Income History
Other Fundumenentals of ZW Data Action
| Net Income Applicable To Common Shares | ||
| Net Income From Continuing Ops | ||
| Net Income Per Share | ||
| Net Income Per E B T |
ZW Data Net Income component correlations
CNET Net Income 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 Net Income. 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.
Click cells to compare fundamentals
Is there potential for Advertising market expansion? Will CNET introduce new products? Factors like these will boost the valuation of ZW Data. Projected growth potential of CNET fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about ZW Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.53) | Revenue Per Share | Quarterly Revenue Growth (0.47) | Return On Assets | Return On Equity |
Investors evaluate ZW Data Action using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ZW Data's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause ZW Data's market price to deviate significantly from intrinsic value.
It's important to distinguish between ZW Data's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ZW Data should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, ZW Data's market price signifies the transaction level at which participants voluntarily complete trades.
ZW Data 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ZW Data's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ZW Data.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in ZW Data on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding ZW Data Action or generate 0.0% return on investment in ZW Data over 90 days. ZW Data is related to or competes with Baosheng Media, Cheetah Mobile, Onfolio Holdings, Cheer Holding, Locafy, and Software Acquisition. ZW Data Action Technologies Inc., through its subsidiaries, provides omni-channel advertising, precision marketing, and ... More
ZW Data Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ZW Data's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ZW Data Action upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 25.42 | |||
| Value At Risk | (10.68) | |||
| Potential Upside | 5.59 |
ZW Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZW Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZW Data's standard deviation. In reality, there are many statistical measures that can use ZW Data historical prices to predict the future ZW Data's volatility.| Risk Adjusted Performance | (0.18) | |||
| Jensen Alpha | (1.38) | |||
| Total Risk Alpha | (2.09) | |||
| Treynor Ratio | 2.37 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ZW Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
ZW Data February 10, 2026 Technical Indicators
| Cycle Indicators | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Risk Adjusted Performance | (0.18) | |||
| Market Risk Adjusted Performance | 2.38 | |||
| Mean Deviation | 4.16 | |||
| Coefficient Of Variation | (421.69) | |||
| Standard Deviation | 6.0 | |||
| Variance | 35.99 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (1.38) | |||
| Total Risk Alpha | (2.09) | |||
| Treynor Ratio | 2.37 | |||
| Maximum Drawdown | 25.42 | |||
| Value At Risk | (10.68) | |||
| Potential Upside | 5.59 | |||
| Skewness | (1.32) | |||
| Kurtosis | 4.6 |
ZW Data Action Backtested Returns
ZW Data Action retains Efficiency (Sharpe Ratio) of -0.23, which attests that the company had a -0.23 % return per unit of price deviation over the last 3 months. ZW Data exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ZW Data's information ratio of (0.25), and Market Risk Adjusted Performance of 2.38 to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.6, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning ZW Data are expected to decrease at a much lower rate. During the bear market, ZW Data is likely to outperform the market. At this point, ZW Data Action has a negative expected return of -1.42%. Please make sure to check out ZW Data's jensen alpha and the relationship between the potential upside and period momentum indicator , to decide if ZW Data Action performance from the past will be repeated in the future.
Auto-correlation | 0.62 |
Good predictability
ZW Data Action has good predictability. Overlapping area represents the amount of predictability between ZW Data time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ZW Data Action price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current ZW Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
CNET Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, ZW Data Action reported net income of (3.77 Million). This is 100.24% lower than that of the Media sector and significantly lower than that of the Communication Services industry. The net income for all United States stocks is 100.66% higher than that of the company.
CNET Net Income 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 Net Income 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 currently under evaluation in net income category among its peers.
ZW Data Institutional Holders
Institutional Holdings refers to the ownership stake in ZW Data that is held by large financial organizations, pension funds or endowments. Institutions may hold large blocks of ZW Data's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing ZW Data's value.| Shares | Sbi Securities Co Ltd | 2025-06-30 | 101 | Fmr Inc | 2025-06-30 | 15.0 | Royal Bank Of Canada | 2025-06-30 | 10.0 | Advisor Group Holdings, Inc. | 2025-06-30 | 10.0 | Ubs Group Ag | 2025-06-30 | 2.0 | Susquehanna International Group, Llp | 2025-06-30 | 0.0 | Tower Research Capital Llc | 2025-03-31 | 0.0 | Jpmorgan Chase & Co | 2025-06-30 | 0.0 | Citadel Advisors Llc | 2025-06-30 | 0.0 |
CNET Fundamentals
| Return On Equity | -0.5 | ||||
| Return On Asset | -0.12 | ||||
| Profit Margin | (0.33) % | ||||
| Operating Margin | (0.09) % | ||||
| Current Valuation | 1.53 M | ||||
| Shares Outstanding | 3.27 M | ||||
| Shares Owned By Insiders | 12.30 % | ||||
| Shares Owned By Institutions | 1.65 % | ||||
| Number Of Shares Shorted | 12.39 K | ||||
| Price To Earning | (2.43) X | ||||
| Price To Book | 0.93 X | ||||
| Price To Sales | 0.37 X | ||||
| Revenue | 15.44 M | ||||
| Gross Profit | 296 K | ||||
| EBITDA | (2.8 M) | ||||
| Net Income | (3.77 M) | ||||
| Cash And Equivalents | 4.45 M | ||||
| Cash Per Share | 0.12 X | ||||
| Total Debt | 122 K | ||||
| Debt To Equity | 0.12 % | ||||
| Current Ratio | 2.70 X | ||||
| Book Value Per Share | 1.26 X | ||||
| Cash Flow From Operations | (2.06 M) | ||||
| Short Ratio | 0.86 X | ||||
| Earnings Per Share | (0.53) X | ||||
| Target Price | 27.7 | ||||
| Number Of Employees | 25 | ||||
| Beta | 0.84 | ||||
| Market Capitalization | 2.27 M | ||||
| Total Asset | 9.69 M | ||||
| Retained Earnings | (63.45 M) | ||||
| Working Capital | 3.33 M | ||||
| Current Asset | 21.04 M | ||||
| Current Liabilities | 7.37 M | ||||
| Net Asset | 9.69 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.
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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.