Opera Stock Analysis

Opera Stock Analysis Notes

About 18.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.37. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Opera has Price/Earnings To Growth (PEG) ratio of 0.31. The entity last dividend was issued on the 7th of January 2026. Opera Limited, together with its subsidiaries, provides mobile and PC web browsers. The company was founded in 1995 and is headquartered in Oslo, Norway. Opera is traded on NASDAQ Exchange in the United States. To find out more about Opera contact the company at 47 2369 2400 or learn more at https://www.opera.com.

Opera Investment Alerts

Opera Upcoming and Recent Events

Opera Largest EPS Surprises

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Opera Environmental, Social, and Governance (ESG) Scores

Opera Stock Institutional Investors

Note, although Opera'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.

Opera Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.3 B.

Opera Profitablity

The company has Profit Margin (PM) of 0.14 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.15 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.15.

Management Efficiency

Opera has return on total asset (ROA) of 0.0547 % which means that it generated a profit of $0.0547 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.0874 %, meaning that it created $0.0874 on every $100 dollars invested by stockholders. Opera's management efficiency ratios could be used to measure how well Opera manages its routine affairs as well as how well it operates its assets and liabilities. The current year's Return On Capital Employed is expected to grow to 0.10, whereas Return On Tangible Assets are forecasted to decline to 0.08. At present, Opera's Total Current Assets are projected to increase significantly based on the last few years of reporting. The current year's Intangibles To Total Assets is expected to grow to 0.66, whereas Total Assets are forecasted to decline to about 1 B.

Technical Drivers

As of the 29th of December, Opera holds the Risk Adjusted Performance of (0.09), coefficient of variation of (697.41), and Variance of 7.26. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Opera, as well as the relationship between them.

Opera Price Movement Analysis

Opera Outstanding Bonds

Opera Predictive Daily Indicators

Opera Corporate Filings

Opera Forecast Models

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

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

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