Rigetti Computing Stock Analysis

Rigetti Stock Analysis Notes

About 34.0% of the company shares are owned by institutional investors. The book value of Rigetti Computing was at this time reported as 0.64. The company has Price/Earnings To Growth (PEG) ratio of 0.07. Rigetti Computing recorded a loss per share of 0.37. The entity had not issued any dividends in recent years. Rigetti Computing, Inc. operates as an integrated systems company. The company was founded in 2013 and is based in Berkeley, California. Rigetti Computing operates under Computer Hardware classification in the United States and is traded on NASDAQ Exchange. It employs 160 people. To find out more about Rigetti Computing contact Subodh Kulkarni at 510 210 5550 or learn more at https://www.rigetti.com.

Rigetti Computing Investment Alerts

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Rigetti Largest EPS Surprises

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Rigetti Stock Institutional Investors

Note, although Rigetti Computing'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.

Rigetti Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 284.6 M.

Rigetti Profitablity

Management Efficiency

Rigetti Computing has return on total asset (ROA) of (0.2606) % which means that it has lost $0.2606 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.5146) %, meaning that it created substantial loss on money invested by shareholders. Rigetti Computing's management efficiency ratios could be used to measure how well Rigetti Computing manages its routine affairs as well as how well it operates its assets and liabilities. The current Return On Tangible Assets is estimated to decrease to -0.49. The Rigetti Computing's current Return On Capital Employed is estimated to increase to -0.52. As of now, Rigetti Computing's Net Tangible Assets are increasing as compared to previous years. The Rigetti Computing's current Intangibles To Total Assets is estimated to increase to 0.15, while Total Assets are projected to decrease to under 115.7 M.

Technical Drivers

As of the 22nd of November, Rigetti Computing holds the Semi Deviation of 4.45, risk adjusted performance of 0.1118, and Coefficient Of Variation of 741.41. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Rigetti Computing, as well as the relationship between them.

Rigetti Computing Price Movement Analysis

Rigetti Computing Insider Trading Activities

Rigetti Computing Predictive Daily Indicators

Rigetti Computing Forecast Models

Rigetti Computing's time-series forecasting models are one of many Rigetti Computing'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 Rigetti Computing'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 Rigetti Computing 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 Rigetti 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 Rigetti Computing. By using and applying Rigetti Stock analysis, traders can create a robust methodology for identifying Rigetti 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. Rigetti 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. Rigetti 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.

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

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