Data Storage Corp Net Income
| DTST Stock | USD 4.67 0.14 2.91% |
As of the 10th of February, Data Storage shows the Downside Deviation of 2.88, mean deviation of 1.74, and Coefficient Of Variation of 1288.26. Data Storage Corp 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.
Data Storage Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 0.8253 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 590 K | 619.5 K | |
| Net Income From Continuing Ops | 461.8 K | 484.9 K | |
| Net Income Applicable To Common Shares | 234.8 K | 246.5 K | |
| Net Income Per Share | 0.07 | 0.07 | |
| Net Income Per E B T | 0.85 | 0.90 |
Data | Net Income | Build AI portfolio with Data Stock |
The evolution of Net Income for Data Storage Corp 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 Data Storage compares to historical norms and industry peers.
Latest Data Storage's Net Income Growth Pattern
Below is the plot of the Net Income of Data Storage Corp over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Data Storage Corp financial statement analysis. It represents the amount of money remaining after all of Data Storage Corp operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Data Storage's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data Storage's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 513.07 K | 10 Years Trend |
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Net Income |
| Timeline |
Data Net Income Regression Statistics
| Arithmetic Mean | (641,006) | |
| Coefficient Of Variation | (211.48) | |
| Mean Deviation | 966,375 | |
| Median | (244,507) | |
| Standard Deviation | 1,355,569 | |
| Sample Variance | 1.8T | |
| Range | 5M | |
| R-Value | 0.40 | |
| Mean Square Error | 1.6T | |
| R-Squared | 0.16 | |
| Significance | 0.11 | |
| Slope | 107,793 | |
| Total Sum of Squares | 29.4T |
Data Net Income History
Other Fundumenentals of Data Storage Corp
| Net Income From Continuing Ops | ||
| Net Income Applicable To Common Shares | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Data Storage Net Income component correlations
Data Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Data Storage is extremely important. It helps to project a fair market value of Data Stock properly, considering its historical fundamentals such as Net Income. Since Data Storage'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 Data Storage'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 Data Storage's interrelated accounts and indicators.
Click cells to compare fundamentals
Is there potential for Application Software market expansion? Will Data introduce new products? Factors like these will boost the valuation of Data Storage. Projected growth potential of Data fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Data Storage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 274.596 | Earnings Share 0.17 | Revenue Per Share | Quarterly Revenue Growth 0.282 | Return On Assets |
Investors evaluate Data Storage Corp using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Data Storage'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 Data Storage's market price to deviate significantly from intrinsic value.
It's important to distinguish between Data Storage's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Data Storage should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Data Storage's market price signifies the transaction level at which participants voluntarily complete trades.
Data Storage '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 Storage'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 Data Storage.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Data Storage on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Data Storage Corp or generate 0.0% return on investment in Data Storage over 90 days. Data Storage is related to or competes with CLPS, Creative Realities, Veea, SIMPPLE, Swvl Holdings, Blackboxstocks, and Webus International. Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States More
Data Storage 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 Storage'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 Data Storage Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.88 | |||
| Information Ratio | 0.0443 | |||
| Maximum Drawdown | 24.27 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 5.17 |
Data Storage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data Storage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data Storage's standard deviation. In reality, there are many statistical measures that can use Data Storage historical prices to predict the future Data Storage's volatility.| Risk Adjusted Performance | 0.0695 | |||
| Jensen Alpha | 0.2346 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0455 | |||
| Treynor Ratio | (1.25) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Data Storage'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.
Data Storage February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0695 | |||
| Market Risk Adjusted Performance | (1.24) | |||
| Mean Deviation | 1.74 | |||
| Semi Deviation | 2.46 | |||
| Downside Deviation | 2.88 | |||
| Coefficient Of Variation | 1288.26 | |||
| Standard Deviation | 2.95 | |||
| Variance | 8.72 | |||
| Information Ratio | 0.0443 | |||
| Jensen Alpha | 0.2346 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0455 | |||
| Treynor Ratio | (1.25) | |||
| Maximum Drawdown | 24.27 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 5.17 | |||
| Downside Variance | 8.28 | |||
| Semi Variance | 6.04 | |||
| Expected Short fall | (2.02) | |||
| Skewness | 0.2206 | |||
| Kurtosis | 7.76 |
Data Storage Corp Backtested Returns
Data Storage appears to be slightly risky, given 3 months investment horizon. Data Storage Corp secures Sharpe Ratio (or Efficiency) of 0.0847, which denotes the company had a 0.0847 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Data Storage Corp, which you can use to evaluate the volatility of the firm. Please utilize Data Storage's Downside Deviation of 2.88, coefficient of variation of 1288.26, and Mean Deviation of 1.74 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Data Storage holds a performance score of 6. The firm shows a Beta (market volatility) of -0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Data Storage are expected to decrease at a much lower rate. During the bear market, Data Storage is likely to outperform the market. Please check Data Storage's potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to make a quick decision on whether Data Storage's price patterns will revert.
Auto-correlation | -0.53 |
Good reverse predictability
Data Storage Corp has good reverse predictability. Overlapping area represents the amount of predictability between Data Storage 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 Data Storage Corp price movement. The serial correlation of -0.53 indicates that about 53.0% of current Data Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
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 |
Data Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Data Storage Corp reported net income of 513.07 K. This is 99.9% lower than that of the Software sector and 99.93% lower than that of the Information Technology industry. The net income for all United States stocks is 99.91% 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 Storage'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 Data Storage could also be used in its relative valuation, which is a method of valuing Data Storage by comparing valuation metrics of similar companies.Data Storage is currently under evaluation in net income category among its peers.
Data Storage Current Valuation Drivers
We derive many important indicators used in calculating different scores of Data Storage from analyzing Data Storage's financial statements. These drivers represent accounts that assess Data Storage's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Data Storage's important valuation drivers and their relationship over time.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Market Cap | 15.5M | 10.0M | 19.7M | 29.3M | 26.4M | 27.7M | |
| Enterprise Value | 5.4M | 9.4M | 18.9M | 28.9M | 26.0M | 27.3M |
Data Storage ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Data Storage's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Data Storage's managers, analysts, and investors.Environmental | Governance | Social |
Data Storage Institutional Holders
Institutional Holdings refers to the ownership stake in Data Storage that is held by large financial organizations, pension funds or endowments. Institutions may hold large blocks of Data Storage'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 Data Storage's value.| Shares | Heritage Investors Management Corp | 2025-06-30 | 20 K | State Street Corp | 2025-06-30 | 11.2 K | Tower Research Capital Llc | 2025-06-30 | 2.2 K | Sbi Securities Co Ltd | 2025-06-30 | 1.3 K | Advisor Group Holdings, Inc. | 2025-06-30 | 1.2 K | Blackrock Inc | 2025-06-30 | 1 K | Fmr Inc | 2025-06-30 | 342 | Federation Des Caisses Desjardins Du Quebec | 2025-06-30 | 100.0 | Bank Of America Corp | 2025-06-30 | 39.0 | Bard Associates Inc | 2025-06-30 | 281.7 K | Vanguard Group Inc | 2025-06-30 | 163.5 K |
Data Fundamentals
| Return On Equity | 0.0406 | ||||
| Return On Asset | -0.0037 | ||||
| Profit Margin | 0.64 % | ||||
| Operating Margin | (2.63) % | ||||
| Current Valuation | (426.79 K) | ||||
| Shares Outstanding | 2.17 M | ||||
| Shares Owned By Insiders | 70.82 % | ||||
| Shares Owned By Institutions | 28.17 % | ||||
| Number Of Shares Shorted | 45.43 K | ||||
| Price To Book | 0.27 X | ||||
| Price To Sales | 1.37 X | ||||
| Revenue | 25.37 M | ||||
| Gross Profit | 11.19 M | ||||
| EBITDA | 2.11 M | ||||
| Net Income | 513.07 K | ||||
| Cash And Equivalents | 11.21 M | ||||
| Cash Per Share | 1.64 X | ||||
| Total Debt | 673.45 K | ||||
| Debt To Equity | 0.10 % | ||||
| Current Ratio | 5.06 X | ||||
| Book Value Per Share | 5.29 X | ||||
| Cash Flow From Operations | 1.74 M | ||||
| Short Ratio | 0.87 X | ||||
| Earnings Per Share | 0.17 X | ||||
| Target Price | 9.0 | ||||
| Number Of Employees | 53 | ||||
| Beta | 1.09 | ||||
| Market Capitalization | 35.02 M | ||||
| Total Asset | 25.28 M | ||||
| Retained Earnings | (18.98 M) | ||||
| Working Capital | 11.87 M | ||||
| Current Asset | 417.11 K | ||||
| Current Liabilities | 3.59 M | ||||
| Net Asset | 25.28 M |
About Data Storage Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Storage Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Storage using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Storage Corp 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 Stock Analysis
When running Data Storage's price analysis, check to measure Data Storage'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 Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage'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 Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.