Goldman Capital Expenditures from 2010 to 2024

GS Stock  USD 608.57  3.14  0.52%   
Goldman Sachs 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, Goldman Sachs Capital Expenditures quarterly data regression had r-value of  0.53 and coefficient of variation of  79.54. View All Fundamentals
 
Capital Expenditures  
First Reported
1998-12-31
Previous Quarter
542 M
Current Value
466 M
Quarterly Volatility
593.7 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Goldman Sachs financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Goldman Sachs' main balance sheet or income statement drivers, such as Depreciation And Amortization of 5.1 B, Interest Expense of 65.3 B or Selling General Administrative of 13.7 B, as well as many indicators such as Price To Sales Ratio of 2.85, Dividend Yield of 0.0335 or PTB Ratio of 1.72. Goldman financial statements analysis is a perfect complement when working with Goldman Sachs Valuation or Volatility modules.
  
Check out the analysis of Goldman Sachs Correlation against competitors.

Latest Goldman Sachs' Capital Expenditures Growth Pattern

Below is the plot of the Capital Expenditures of Goldman Sachs Group over the last few years. Capital Expenditures are funds used by Goldman Sachs 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 Goldman Sachs operations. These expenditures can include everything from repairing an office equipment, building a brand new facility, or writing new software. It is Goldman Sachs' Capital Expenditures historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Goldman Sachs' overall financial position and show how it may be relating to other accounts over time.
Capital Expenditures10 Years Trend
Slightly volatile
   Capital Expenditures   
       Timeline  

Goldman Capital Expenditures Regression Statistics

Arithmetic Mean3,233,398,400
Geometric Mean2,349,856,031
Coefficient Of Variation79.54
Mean Deviation1,997,601,067
Median2,769,976,000
Standard Deviation2,571,988,223
Sample Variance6615123.4T
Range7.8B
R-Value0.53
Mean Square Error5126045.2T
R-Squared0.28
Significance0.04
Slope304,567,257
Total Sum of Squares92611727.8T

Goldman Capital Expenditures History

20242.8 B
20232.3 B
20223.7 B
20214.7 B
20206.3 B
20198.4 B
2018B

About Goldman Sachs Financial Statements

Goldman Sachs shareholders use historical fundamental indicators, such as Capital Expenditures, to determine how well the company is positioned to perform in the future. Although Goldman Sachs investors may analyze each financial statement separately, they are all interrelated. The changes in Goldman Sachs' assets and liabilities, for example, are also reflected in the revenues and expenses on on Goldman Sachs' 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 Expenditures2.3 B2.8 B

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Additional Tools for Goldman Stock Analysis

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