Container Capital Expenditures from 2010 to 2024

TCS Stock  USD 2.65  0.46  21.00%   
Container Store Capital Expenditures yearly trend continues to be comparatively stable with very little volatility. Capital Expenditures is likely to outpace its year average in 2024. From the period from 2010 to 2024, Container Store Capital Expenditures quarterly data regression had r-value of  0.49 and coefficient of variation of  31.11. View All Fundamentals
 
Capital Expenditures  
First Reported
2011-06-30
Previous Quarter
8.6 M
Current Value
6.7 M
Quarterly Volatility
6.1 M
 
Yuan Drop
 
Covid
Check Container Store financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Container Store's main balance sheet or income statement drivers, such as Depreciation And Amortization of 37.7 M, Interest Expense of 15.2 M or Total Revenue of 919 M, as well as many indicators such as Price To Sales Ratio of 0.31, Dividend Yield of 0.37 or PTB Ratio of 1.05. Container financial statements analysis is a perfect complement when working with Container Store Valuation or Volatility modules.
  
Check out the analysis of Container Store Correlation against competitors.

Latest Container Store's Capital Expenditures Growth Pattern

Below is the plot of the Capital Expenditures of Container Store Group over the last few years. Capital Expenditures are funds used by Container Store Group to acquire physical assets such as property, industrial buildings or equipment. This type of outlay is used by management to increase the scope of Container Store operations. These expenditures can include everything from repairing an office equipment, building a brand new facility, or writing new software. It is Container Store's Capital Expenditures historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Container Store's overall financial position and show how it may be relating to other accounts over time.
Capital Expenditures10 Years Trend
Slightly volatile
   Capital Expenditures   
       Timeline  

Container Capital Expenditures Regression Statistics

Arithmetic Mean32,961,922
Geometric Mean31,740,843
Coefficient Of Variation31.11
Mean Deviation6,400,040
Median29,220,000
Standard Deviation10,253,586
Sample Variance105.1T
Range47M
R-Value0.49
Mean Square Error85.8T
R-Squared0.24
Significance0.06
Slope1,128,049
Total Sum of Squares1471.9T

Container Capital Expenditures History

202441 M
202339.9 M
202264.2 M
202133.4 M
202017.2 M
201933.6 M
201833.7 M

About Container Store Financial Statements

Container Store shareholders use historical fundamental indicators, such as Capital Expenditures, to determine how well the company is positioned to perform in the future. Although Container Store investors may analyze each financial statement separately, they are all interrelated. The changes in Container Store's assets and liabilities, for example, are also reflected in the revenues and expenses on on Container Store's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Capital Expenditures39.9 M41 M

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Additional Tools for Container Stock Analysis

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