Spectrum Brands Holdings Stock Market Value
| SPB Stock | USD 75.72 0.29 0.38% |
| Symbol | Spectrum |
Is Household Products 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 Spectrum Brands. If investors know Spectrum 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. Comprehensive Spectrum Brands assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 0.435 | Dividend Share 1.88 | Earnings Share 4.23 | Revenue Per Share | Quarterly Revenue Growth (0.03) |
The market value of Spectrum Brands Holdings is measured differently than its book value, which is the value of Spectrum that is recorded on the company's balance sheet. Investors also form their own opinion of Spectrum Brands' value that differs from its market value or its book value, called intrinsic value, which is Spectrum Brands' 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 Spectrum Brands' market value can be influenced by many factors that don't directly affect Spectrum Brands' 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 Spectrum Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectrum Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, Spectrum Brands' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Spectrum Brands '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 Spectrum Brands' 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 Spectrum Brands.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Spectrum Brands on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Spectrum Brands Holdings or generate 0.0% return on investment in Spectrum Brands over 90 days. Spectrum Brands is related to or competes with Newell Rubbermaid, Ingles Markets, Phoenix Education, Afya, Youdao, Edgewell Personal, and Universal. Spectrum Brands Holdings, Inc. operates as a branded consumer products company worldwide More
Spectrum Brands 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 Spectrum Brands' 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 Spectrum Brands Holdings upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.84 | |||
| Information Ratio | 0.1841 | |||
| Maximum Drawdown | 13.62 | |||
| Value At Risk | (2.75) | |||
| Potential Upside | 5.01 |
Spectrum Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectrum Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectrum Brands' standard deviation. In reality, there are many statistical measures that can use Spectrum Brands historical prices to predict the future Spectrum Brands' volatility.| Risk Adjusted Performance | 0.1834 | |||
| Jensen Alpha | 0.5325 | |||
| Total Risk Alpha | 0.2978 | |||
| Sortino Ratio | 0.2559 | |||
| Treynor Ratio | 2.41 |
Spectrum Brands February 9, 2026 Technical Indicators
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| Math Transform | ||
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| Risk Adjusted Performance | 0.1834 | |||
| Market Risk Adjusted Performance | 2.42 | |||
| Mean Deviation | 1.82 | |||
| Semi Deviation | 1.41 | |||
| Downside Deviation | 1.84 | |||
| Coefficient Of Variation | 456.31 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.55 | |||
| Information Ratio | 0.1841 | |||
| Jensen Alpha | 0.5325 | |||
| Total Risk Alpha | 0.2978 | |||
| Sortino Ratio | 0.2559 | |||
| Treynor Ratio | 2.41 | |||
| Maximum Drawdown | 13.62 | |||
| Value At Risk | (2.75) | |||
| Potential Upside | 5.01 | |||
| Downside Variance | 3.39 | |||
| Semi Variance | 2.0 | |||
| Expected Short fall | (2.14) | |||
| Skewness | 1.47 | |||
| Kurtosis | 4.12 |
Spectrum Brands Holdings Backtested Returns
Spectrum Brands appears to be very steady, given 3 months investment horizon. Spectrum Brands Holdings owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.26, which indicates the firm had a 0.26 % return per unit of risk over the last 3 months. By inspecting Spectrum Brands' technical indicators, you can evaluate if the expected return of 0.68% is justified by implied risk. Please review Spectrum Brands' Semi Deviation of 1.41, risk adjusted performance of 0.1834, and Coefficient Of Variation of 456.31 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Spectrum Brands holds a performance score of 20. The entity has a beta of 0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Spectrum Brands' returns are expected to increase less than the market. However, during the bear market, the loss of holding Spectrum Brands is expected to be smaller as well. Please check Spectrum Brands' jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Spectrum Brands' existing price patterns will revert.
Auto-correlation | 0.50 |
Modest predictability
Spectrum Brands Holdings has modest predictability. Overlapping area represents the amount of predictability between Spectrum Brands time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Spectrum Brands Holdings price movement. The serial correlation of 0.5 indicates that about 50.0% of current Spectrum Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 18.4 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Spectrum Brands Holdings offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Spectrum Brands' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Spectrum Brands Holdings Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Spectrum Brands Holdings Stock:Check out Spectrum Brands Correlation, Spectrum Brands Volatility and Spectrum Brands Performance module to complement your research on Spectrum Brands. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Spectrum Brands 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.