Scientific Industries Stock Net Income
| SCND Stock | USD 0.58 0.06 11.54% |
As of the 28th of January, Scientific Industries has the Variance of 41.21, coefficient of variation of (17,169), and Risk Adjusted Performance of 0.0046. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scientific Industries, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate thirteen technical drivers for Scientific Industries, which can be compared to its competition. Please validate Scientific Industries variance and value at risk to decide if Scientific Industries is priced more or less accurately, providing market reflects its prevalent price of 0.58 per share. As Scientific Industries is a penny stock we also advise to double-check its jensen alpha numbers.
Scientific Industries' 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 Scientific Industries' valuation are provided below:Scientific Industries does not presently have any fundamental trend indicators 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. Scientific |
Scientific Industries '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 Scientific Industries' otc 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 Scientific Industries.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Scientific Industries on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Scientific Industries or generate 0.0% return on investment in Scientific Industries over 90 days. Scientific Industries is related to or competes with Global Warming, Vitality Prime, ZTEST Electronics, Elcom International, and Lifeloc Technologies. Scientific Industries, Inc. engages in the design, manufacture, and marketing of benchtop laboratory equipment and biopr... More
Scientific Industries 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 Scientific Industries' otc 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 Scientific Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 |
Scientific Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific Industries' standard deviation. In reality, there are many statistical measures that can use Scientific Industries historical prices to predict the future Scientific Industries' volatility.| Risk Adjusted Performance | 0.0046 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 0.4646 |
Scientific Industries January 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0046 | |||
| Market Risk Adjusted Performance | 0.4746 | |||
| Mean Deviation | 3.9 | |||
| Coefficient Of Variation | (17,169) | |||
| Standard Deviation | 6.42 | |||
| Variance | 41.21 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 0.4646 | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 | |||
| Skewness | 0.173 | |||
| Kurtosis | 1.35 |
Scientific Industries Backtested Returns
Scientific Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. Scientific Industries exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scientific Industries' Variance of 41.21, coefficient of variation of (17,169), and Risk Adjusted Performance of 0.0046 to confirm the risk estimate we provide. The entity has a beta of -0.1, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Scientific Industries are expected to decrease at a much lower rate. During the bear market, Scientific Industries is likely to outperform the market. At this point, Scientific Industries has a negative expected return of -0.0374%. Please make sure to validate Scientific Industries' maximum drawdown, as well as the relationship between the daily balance of power and price action indicator , to decide if Scientific Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.23 |
Weak reverse predictability
Scientific Industries has weak reverse predictability. Overlapping area represents the amount of predictability between Scientific Industries time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 Scientific Industries price movement. The serial correlation of -0.23 indicates that over 23.0% of current Scientific Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.25 | |
| 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, Scientific Industries reported net income of (5.64 Million). This is 101.05% lower than that of the Health Care Equipment & Supplies sector and 104.39% lower than that of the Health Care industry. The net income for all United States stocks is 100.99% higher than that of the company.
Scientific Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Scientific Industries' direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the otc stocks which would be a good addition to a portfolio. Peer analysis of Scientific Industries could also be used in its relative valuation, which is a method of valuing Scientific Industries by comparing valuation metrics of similar companies.Scientific Industries is currently under evaluation in net income category among its peers.
Scientific Fundamentals
| Return On Equity | -0.23 | |||
| Return On Asset | -0.17 | |||
| Profit Margin | (0.51) % | |||
| Operating Margin | (0.66) % | |||
| Current Valuation | 31.32 M | |||
| Shares Outstanding | 7 M | |||
| Shares Owned By Insiders | 46.47 % | |||
| Shares Owned By Institutions | 17.72 % | |||
| Price To Earning | 33.11 X | |||
| Price To Book | 1.51 X | |||
| Price To Sales | 3.34 X | |||
| Revenue | 11.4 M | |||
| Gross Profit | 5.74 M | |||
| EBITDA | (6.58 M) | |||
| Net Income | (5.64 M) | |||
| Cash And Equivalents | 7.74 M | |||
| Cash Per Share | 1.11 X | |||
| Total Debt | 1.59 M | |||
| Debt To Equity | 0.06 % | |||
| Current Ratio | 9.16 X | |||
| Book Value Per Share | 3.54 X | |||
| Cash Flow From Operations | (5.51 M) | |||
| Earnings Per Share | (0.84) X | |||
| Number Of Employees | 72 | |||
| Beta | 0.34 | |||
| Market Capitalization | 37.3 M | |||
| Total Asset | 29.03 M | |||
| Retained Earnings | 3.36 M | |||
| Working Capital | 3.93 M | |||
| Current Asset | 5.35 M | |||
| Current Liabilities | 1.42 M | |||
| Z Score | 13.8 | |||
| Net Asset | 29.03 M |
About Scientific Industries Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Scientific Industries's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Scientific Industries using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Scientific Industries based on its fundamental data. In general, a quantitative approach, as applied to this otc stock, 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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| HITI | High Tide | |
| HITI | High Tide | |
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Other Information on Investing in Scientific OTC Stock
Scientific Industries financial ratios help investors to determine whether Scientific OTC Stock 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 Scientific with respect to the benefits of owning Scientific Industries security.