Husqvarna Pink Sheet Analysis

Husqvarna Pink Sheet Analysis Notes

The company has price-to-book (P/B) ratio of 1.72. Some equities with similar Price to Book (P/B) outperform the market in the long run. Husqvarna AB last dividend was issued on the 10th of October 2022. Husqvarna AB produces and sells outdoor power products, watering products, and cutting and surface preparation equipment. Husqvarna AB was founded in 1689 and is headquartered in Stockholm, Sweden. Husqvarna Akiebolag operates under Tools Accessories classification in the United States and is traded on OTC Exchange. It employs 14561 people.The quote for Husqvarna AB is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To learn more about Husqvarna AB call Kai Warn at 46 87 38 90 00 or check out https://www.husqvarnagroup.com.

Husqvarna AB Investment Alerts

Husqvarna Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 5.01 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Husqvarna's market, we take the total number of its shares issued and multiply it by Husqvarna's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Husqvarna Profitablity

The company has Profit Margin (PM) of 0.04 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average.

Technical Drivers

Husqvarna AB Price Movement Analysis

Husqvarna Technical and Predictive Indicators

Husqvarna Forecast Models

Husqvarna's time-series forecasting models are one of many Husqvarna's pink sheet 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 Husqvarna'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.

Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Husqvarna 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 Husqvarna shares will generate the highest return on investment. We also built our pink sheet 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 Pink Sheet such as Husqvarna. By using and applying Husqvarna Pink Sheet analysis, traders can create a robust methodology for identifying Husqvarna entry and exit points for their positions.

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