Data Call Technologi Stock Net Income
| DCLT Stock | USD 0.0001 0.00 0.00% |
Data Call Technologi technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Analyzing historical trends in various income statement and balance sheet accounts from Data Call's financial statements helps investors evaluate the company's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Data Call's valuation are summarized below:Data Call Technologi does not presently have any fundamental signals for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Data |
Data Call '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 Data Call's pink sheet 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 Data Call.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Data Call on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Data Call Technologi or generate 0.0% return on investment in Data Call over 90 days. Data Call Technologies, Inc. provides real-time informationcontent through digital signage and kiosk networks in the Uni... More
Data Call 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 Data Call's pink sheet 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 Data Call Technologi upside and downside potential and time the market with a certain degree of confidence.
Data Call Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data Call's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data Call's standard deviation. In reality, there are many statistical measures that can use Data Call historical prices to predict the future Data Call's volatility.Data Call Technologi Backtested Returns
We have found three technical indicators for Data Call Technologi, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Data Call are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Data Call Technologi has perfect predictability. Overlapping area represents the amount of predictability between Data Call time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Data Call Technologi price movement. The serial correlation of 1.0 indicates that 100.0% of current Data Call price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Based on the recorded statements, Data Call Technologi reported net income of 15.79 K. This is 100.0% lower than that of the Technology sector and significantly higher than that of the Software—Infrastructure industry. The net income for all United States stocks is 100.0% higher than that of the company.
Data Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Call's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Data Call could also be used in its relative valuation, which is a method of valuing Data Call by comparing valuation metrics of similar companies.Data Call is currently under evaluation in net income category among its peers.
Data Fundamentals
| Return On Equity | 0.47 | |||
| Return On Asset | 0.034 | |||
| Profit Margin | 0.04 % | |||
| Operating Margin | 0.01 % | |||
| Current Valuation | 1.21 M | |||
| Shares Outstanding | 157.5 M | |||
| Shares Owned By Insiders | 24.69 % | |||
| Price To Book | 18.48 X | |||
| Price To Sales | 1.68 X | |||
| Revenue | 580.23 K | |||
| Gross Profit | 363.95 K | |||
| EBITDA | 16.85 K | |||
| Net Income | 15.79 K | |||
| Cash And Equivalents | 14.26 K | |||
| Total Debt | 2.69 K | |||
| Debt To Equity | 0.04 % | |||
| Current Ratio | 3.28 X | |||
| Cash Flow From Operations | (7.09 K) | |||
| Beta | 0.42 | |||
| Market Capitalization | 700.87 K | |||
| Total Asset | 86.86 K | |||
| Net Asset | 86.86 K |
About Data Call Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Call Technologi's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Call using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Call Technologi 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 Data Pink Sheet Analysis
When running Data Call's price analysis, check to measure Data Call'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 Data Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.