Sunopta Stock Market Value
STKL Stock | USD 7.72 0.10 1.28% |
Symbol | SunOpta |
SunOpta Price To Book Ratio
Is Packaged Foods & Meats space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SunOpta. If investors know SunOpta will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SunOpta listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.799 | Earnings Share (0.07) | Revenue Per Share 6.118 | Quarterly Revenue Growth 0.155 | Return On Assets 0.0306 |
The market value of SunOpta is measured differently than its book value, which is the value of SunOpta that is recorded on the company's balance sheet. Investors also form their own opinion of SunOpta's value that differs from its market value or its book value, called intrinsic value, which is SunOpta's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SunOpta's market value can be influenced by many factors that don't directly affect SunOpta's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SunOpta's value and its price as these two are different measures arrived at by different means. Investors typically determine if SunOpta is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SunOpta's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
SunOpta 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to SunOpta's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of SunOpta.
10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in SunOpta on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding SunOpta or generate 0.0% return on investment in SunOpta over 30 days. SunOpta is related to or competes with Seneca Foods, Central Garden, Central Garden, Natures Sunshine, Nomad Foods, Bellring Brands, and Pilgrims Pride. SunOpta Inc. manufactures and sells plant-based and fruit-based food and beverage products to retail customers, foodserv... More
SunOpta Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure SunOpta's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess SunOpta upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.83 | |||
Information Ratio | 0.0835 | |||
Maximum Drawdown | 25.87 | |||
Value At Risk | (5.24) | |||
Potential Upside | 4.49 |
SunOpta Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SunOpta's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SunOpta's standard deviation. In reality, there are many statistical measures that can use SunOpta historical prices to predict the future SunOpta's volatility.Risk Adjusted Performance | 0.0982 | |||
Jensen Alpha | 0.2298 | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | 0.1132 | |||
Treynor Ratio | 0.2523 |
SunOpta Backtested Returns
SunOpta appears to be slightly risky, given 3 months investment horizon. SunOpta owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for SunOpta, which you can use to evaluate the volatility of the company. Please review SunOpta's Risk Adjusted Performance of 0.0982, coefficient of variation of 850.56, and Semi Deviation of 2.46 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SunOpta holds a performance score of 9. The entity has a beta of 1.75, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SunOpta will likely underperform. Please check SunOpta's value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether SunOpta's existing price patterns will revert.
Auto-correlation | 0.44 |
Average predictability
SunOpta has average predictability. Overlapping area represents the amount of predictability between SunOpta time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SunOpta price movement. The serial correlation of 0.44 indicates that just about 44.0% of current SunOpta price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.44 | |
Spearman Rank Test | 0.81 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
SunOpta lagged returns against current returns
Autocorrelation, which is SunOpta stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SunOpta's stock expected returns. We can calculate the autocorrelation of SunOpta returns to help us make a trade decision. For example, suppose you find that SunOpta has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
SunOpta regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SunOpta stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SunOpta stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SunOpta stock over time.
Current vs Lagged Prices |
Timeline |
SunOpta Lagged Returns
When evaluating SunOpta's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SunOpta stock have on its future price. SunOpta autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SunOpta autocorrelation shows the relationship between SunOpta stock current value and its past values and can show if there is a momentum factor associated with investing in SunOpta.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out SunOpta Correlation, SunOpta Volatility and SunOpta Alpha and Beta module to complement your research on SunOpta. For more information on how to buy SunOpta Stock please use our How to buy in SunOpta Stock guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
SunOpta technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.