Biomerica Stock Analysis

Biomerica Stock Analysis Notes

The company has price-to-book (P/B) ratio of 1.56. Some equities with similar Price to Book (P/B) outperform the market in the long run. Biomerica recorded a loss per share of 2.16. The entity had not issued any dividends in recent years. The firm had 1:8 split on the 21st of April 2025. Biomerica, Inc., a biomedical technology company, develops, patents, manufactures, and markets diagnostic and therapeutic products for the detection andor treatment of medical conditions and diseases worldwide. Biomerica, Inc. was incorporated in 1971 and is headquartered in Irvine, California. Biomerica operates under Medical Devices classification in the United States and is traded on NASDAQ Exchange. It employs 64 people. For more info on Biomerica please contact Zackary Irani at (949) 645-2111 or go to https://www.biomerica.com.

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Biomerica Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 8.66 M.

Biomerica Profitablity

The company has Profit Margin (PM) of (0.85) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (1.08) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $1.08.

Technical Drivers

As of the 22nd of July, Biomerica shows the Standard Deviation of 3.56, risk adjusted performance of (0.01), and Mean Deviation of 2.7. Biomerica technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.

Biomerica Price Movement Analysis

Biomerica Insider Trading Activities

Biomerica Outstanding Bonds

Biomerica Predictive Daily Indicators

Biomerica Forecast Models

Biomerica's time-series forecasting models are one of many Biomerica's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Biomerica's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Biomerica prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Biomerica shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Biomerica. By using and applying Biomerica Stock analysis, traders can create a robust methodology for identifying Biomerica entry and exit points for their positions.

When running Biomerica's price analysis, check to measure Biomerica'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 Biomerica is operating at the current time. Most of Biomerica's value examination focuses on studying past and present price action to predict the probability of Biomerica's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Biomerica's price. Additionally, you may evaluate how the addition of Biomerica to your portfolios can decrease your overall portfolio volatility.