Samsara Stock Analysis

Samsara Stock Analysis Notes

About 95.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 0.49. Samsara last dividend was issued on the 15th of September 2000. The entity had 3:1 split on the 15th of June 2005. Samsara Inc. provides solutions that connect physical operations data to its Connected Operations Cloud in the United States and internationally. The company was incorporated in 2015 and is based in San Francisco, California. Samsara Inc operates under SoftwareInfrastructure classification in the United States and is traded on New York Stock Exchange. It employs 1616 people. To learn more about Samsara call Sanjit Biswas at 415 985 2400 or check out https://www.samsara.com.

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Samsara Upcoming and Recent Events

Samsara Largest EPS Surprises

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Samsara Environmental, Social, and Governance (ESG) Scores

Samsara Thematic Classifications

Samsara Stock Institutional Investors

Note, although Samsara's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Samsara Market Capitalization

The company currently falls under 'Large-Cap' category with a total capitalization of 31.35 B.

Samsara Profitablity

The company has Net Profit Margin of (0.24) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average. In the same way, it shows Net Operating Margin of (0.19) %, which entails that for every $100 of revenue, it lost $0.19.

Management Efficiency

Samsara has Return on Asset of (0.0823) % which means that on every $100 spent on assets, it lost $0.0823. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of (0.2786) %, meaning that it generated no profit with money invested by stockholders. Samsara's management efficiency ratios could be used to measure how well Samsara manages its routine affairs as well as how well it operates its assets and liabilities. Return On Equity is likely to gain to 0.39 in 2024, whereas Return On Tangible Assets are likely to drop (0.24) in 2024. Non Current Liabilities Total is likely to gain to about 437.9 M in 2024, whereas Total Current Liabilities is likely to drop slightly above 381.1 M in 2024.

Technical Drivers

As of the 24th of November, Samsara has the Coefficient Of Variation of 540.62, risk adjusted performance of 0.1492, and Semi Deviation of 1.79. Samsara technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.

Samsara Price Movement Analysis

Samsara Insider Trading Activities

Samsara Outstanding Bonds

Samsara Predictive Daily Indicators

Samsara Corporate Filings

Samsara Forecast Models

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

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Samsara analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Samsara analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Samsara stock analysis indicators help investors evaluate how Samsara stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Samsara shares will generate the highest return on investment. By understating and applying Samsara stock analysis, traders can identify Samsara position entry and exit signals to maximize returns.

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