Goldman Cost Of Revenue from 2010 to 2024

GS Stock  USD 596.11  14.18  2.44%   
Goldman Sachs Cost Of Revenue yearly trend continues to be comparatively stable with very little volatility. Cost Of Revenue is likely to outpace its year average in 2024. From the period from 2010 to 2024, Goldman Sachs Cost Of Revenue quarterly data regression had r-value of  0.34 and coefficient of variation of  33.07. View All Fundamentals
 
Cost Of Revenue  
First Reported
1999-06-30
Previous Quarter
4.5 B
Current Value
4.4 B
Quarterly Volatility
4.3 B
 
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 2.87, 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' Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Goldman Sachs Group over the last few years. Cost of Revenue is found on Goldman Sachs Group income statement and represents the costs associated with goods and services Goldman Sachs provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Goldman Sachs' Cost Of Revenue 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.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Goldman Cost Of Revenue Regression Statistics

Arithmetic Mean14,490,945,067
Geometric Mean12,689,643,448
Coefficient Of Variation33.07
Mean Deviation3,179,534,080
Median13,819,000,000
Standard Deviation4,792,158,135
Sample Variance22964779.6T
Range20.5B
R-Value0.34
Mean Square Error21825153.9T
R-Squared0.12
Significance0.21
Slope367,325,829
Total Sum of Squares321506914.2T

Goldman Cost Of Revenue History

202416.7 B
202316.6 B
202216.2 B
202118.7 B
202014.3 B
201913.4 B
201813.1 B

About Goldman Sachs Financial Statements

Goldman Sachs shareholders use historical fundamental indicators, such as Cost Of Revenue, 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
Cost Of Revenue16.6 B16.7 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.