Birks Group Stock Analysis

Birks Stock Analysis Notes

About 53.0% of the company shares are held by company insiders. The company has Price/Earnings (P/E) ratio of 103.2. Birks Group recorded a loss per share of 0.25. The entity had not issued any dividends in recent years. Birks Group Inc. designs, develops, manufactures, and retails fine jewelry, timepieces, sterling and plated silverware, and gifts in the United States and Canada. Birks Group Inc. was founded in 1879 and is headquartered in Montreal, Canada. Birks operates under Luxury Goods classification in the United States and is traded on AMEX Exchange. It employs 296 people. For more info on Birks Group please contact JeanChristophe Bedos at 514 397 2501 or go to https://www.brinkhaus.com.

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Birks Thematic Classifications

Birks Market Capitalization

The company currently falls under 'Micro-Cap' category with a total capitalization of 16.82 M.

Birks Profitablity

The company has Net Profit Margin of (0.04) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average.

Management Efficiency

The Birks' current Return On Equity is estimated to increase to 12.94, while Return On Tangible Assets are projected to decrease to (0.04). As of now, Birks' Asset Turnover is increasing as compared to previous years. Birks' management efficiency ratios could be used to measure how well Birks manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

As of the 12th of June 2025, Birks shows the Mean Deviation of 3.16, standard deviation of 4.31, and Risk Adjusted Performance of (0.19). Birks Group 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.

Birks Group Price Movement Analysis

Birks Outstanding Bonds

Birks Predictive Daily Indicators

Birks Forecast Models

Birks' time-series forecasting models are one of many Birks' 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 Birks' 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 Birks 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 Birks 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 Birks. By using and applying Birks Stock analysis, traders can create a robust methodology for identifying Birks entry and exit points for their positions.

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