Build Inventory Turnover from 2010 to 2024
| BBW Stock | USD 27.58 0.22 0.79% |
Inventory Turnover | First Reported 2010-12-31 | Previous Quarter 3.49175578 | Current Value 3.81935049 | Quarterly Volatility 0.4949022 |
Check Build A financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Build main balance sheet or income statement drivers, such as Depreciation And Amortization of 13.9 M, Interest Expense of 16.2 K or Selling General Administrative of 156.6 M, as well as many exotic indicators such as Price To Sales Ratio of 0.58, Ptb Ratio of 2.14 or Days Sales Outstanding of 12.97. Build financial statements analysis is a perfect complement when working with Build A Valuation or Volatility modules.
Build | Inventory Turnover |
Latest Build A's Inventory Turnover Growth Pattern
Below is the plot of the Inventory Turnover of Build A Bear Workshop over the last few years. It is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. Build A's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Build A's overall financial position and show how it may be relating to other accounts over time.
| Inventory Turnover | 10 Years Trend |
|
Inventory Turnover |
| Timeline |
Build Inventory Turnover Regression Statistics
| Arithmetic Mean | 3.62 | |
| Geometric Mean | 3.59 | |
| Coefficient Of Variation | 13.68 | |
| Mean Deviation | 0.35 | |
| Median | 3.46 | |
| Standard Deviation | 0.49 | |
| Sample Variance | 0.24 | |
| Range | 1.7726 | |
| R-Value | (0.58) | |
| Mean Square Error | 0.17 | |
| R-Squared | 0.34 | |
| Significance | 0.02 | |
| Slope | (0.06) | |
| Total Sum of Squares | 3.43 |
Build Inventory Turnover History
About Build A Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Build A income statement, its balance sheet, and the statement of cash flows. Build A investors use historical funamental indicators, such as Build A's Inventory Turnover, to determine how well the company is positioned to perform in the future. Although Build A investors may use each financial statement separately, they are all related. The changes in Build A's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Build A's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Build A Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Build A. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Inventory Turnover | 3.49 | 3.82 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Build A in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Build A's short interest history, or implied volatility extrapolated from Build A options trading.
Pair Trading with Build A
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Build A position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Build A will appreciate offsetting losses from the drop in the long position's value.Moving together with Build Stock
| 0.63 | M | Macys Inc Financial Report 6th of June 2024 | PairCorr |
| 0.85 | W | Wayfair Financial Report 2nd of May 2024 | PairCorr |
| 0.92 | DIBS | 1StdibsCom Financial Report 8th of May 2024 | PairCorr |
| 0.92 | AN | AutoNation Financial Report 18th of April 2024 | PairCorr |
Moving against Build Stock
| 0.86 | WOOF | Pet Acquisition LLC Financial Report 22nd of May 2024 | PairCorr |
| 0.85 | DXLG | Destination XL Group Financial Report 23rd of May 2024 | PairCorr |
| 0.78 | VSCO | Victorias Secret Financial Report 29th of May 2024 | PairCorr |
| 0.75 | LL | LL Flooring Holdings | PairCorr |
| 0.71 | BQ | Boqii Holding Limited | PairCorr |
The ability to find closely correlated positions to Build A could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Build A when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Build A - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Build A Bear Workshop to buy it.
The correlation of Build A is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Build A moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Build A Bear moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Build A can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out the analysis of Build A Correlation against competitors. Note that the Build A Bear information on this page should be used as a complementary analysis to other Build A's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for Build Stock analysis
When running Build A's price analysis, check to measure Build A'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 Build A is operating at the current time. Most of Build A's value examination focuses on studying past and present price action to predict the probability of Build A's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Build A's price. Additionally, you may evaluate how the addition of Build A to your portfolios can decrease your overall portfolio volatility.
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Is Build A's industry 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 Build A. If investors know Build 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 Build A 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 0.125 | Earnings Share 3.47 | Revenue Per Share 33.892 | Quarterly Revenue Growth 0.029 | Return On Assets 0.1478 |
The market value of Build A Bear is measured differently than its book value, which is the value of Build that is recorded on the company's balance sheet. Investors also form their own opinion of Build A's value that differs from its market value or its book value, called intrinsic value, which is Build A'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 Build A's market value can be influenced by many factors that don't directly affect Build A'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 Build A's value and its price as these two are different measures arrived at by different means. Investors typically determine if Build A is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Build A'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.