Deepspatial Stock Net Income
| DSAIF Stock | USD 0.07 0.00 0.00% |
DeepSpatial 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.
DeepSpatial's financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing DeepSpatial's valuation are provided below:DeepSpatial 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. DeepSpatial |
DeepSpatial '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 DeepSpatial'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 DeepSpatial.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in DeepSpatial on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding DeepSpatial or generate 0.0% return on investment in DeepSpatial over 90 days. DeepSpatial is related to or competes with RIWI Corp, Zapata Computing, Sparta Commercial, and BrainChip Holdings. DeepSpatial Inc., an artificial intelligence technology company, provides business insights to enterprises using geospat... More
DeepSpatial 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 DeepSpatial'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 DeepSpatial upside and downside potential and time the market with a certain degree of confidence.
DeepSpatial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DeepSpatial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DeepSpatial's standard deviation. In reality, there are many statistical measures that can use DeepSpatial historical prices to predict the future DeepSpatial's volatility.DeepSpatial Backtested Returns
We have found three technical indicators for DeepSpatial, 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 DeepSpatial are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
DeepSpatial has no correlation between past and present. Overlapping area represents the amount of predictability between DeepSpatial time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 DeepSpatial price movement. The serial correlation of 0.0 indicates that just 0.0% of current DeepSpatial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| 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, DeepSpatial reported net income of (1.97 Million). This is 100.37% lower than that of the Technology sector and significantly lower than that of the Software—Infrastructure industry. The net income for all United States stocks is 100.34% higher than that of the company.
DeepSpatial Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DeepSpatial'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 DeepSpatial could also be used in its relative valuation, which is a method of valuing DeepSpatial by comparing valuation metrics of similar companies.DeepSpatial is currently under evaluation in net income category among its peers.
DeepSpatial Fundamentals
| Return On Equity | -1.05 | |||
| Return On Asset | -0.56 | |||
| Operating Margin | (224.37) % | |||
| Current Valuation | 3.46 M | |||
| Shares Outstanding | 94.03 M | |||
| Shares Owned By Insiders | 61.37 % | |||
| Price To Book | 3.12 X | |||
| Price To Sales | 443.86 X | |||
| EBITDA | (1.66 M) | |||
| Net Income | (1.97 M) | |||
| Cash And Equivalents | 379.66 K | |||
| Total Debt | 30 K | |||
| Debt To Equity | 0.02 % | |||
| Current Ratio | 7.10 X | |||
| Book Value Per Share | 0.01 X | |||
| Cash Flow From Operations | (853.45 K) | |||
| Earnings Per Share | (0.02) X | |||
| Beta | -0.19 | |||
| Market Capitalization | 4.22 M | |||
| Total Asset | 1.64 M | |||
| Z Score | 80.7 | |||
| Net Asset | 1.64 M |
About DeepSpatial Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DeepSpatial's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DeepSpatial using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of DeepSpatial 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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Other Information on Investing in DeepSpatial Pink Sheet
DeepSpatial financial ratios help investors to determine whether DeepSpatial Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in DeepSpatial with respect to the benefits of owning DeepSpatial security.