GPT Net Income from 2010 to 2025

GPTINFRA   128.62  0.81  0.63%   
GPT Infraprojects Net Income yearly trend continues to be relatively stable with very little volatility. Net Income is likely to grow to about 840.7 M this year. During the period from 2010 to 2025, GPT Infraprojects Net Income destribution of quarterly values had range of 803.4 M from its regression line and mean deviation of  187,086,848. View All Fundamentals
 
Net Income  
First Reported
2012-03-31
Previous Quarter
214.2 M
Current Value
242.4 M
Quarterly Volatility
55.6 M
 
Yuan Drop
 
Covid
Check GPT Infraprojects financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among GPT Infraprojects' main balance sheet or income statement drivers, such as Depreciation And Amortization of 176.9 M, Interest Expense of 348.4 M or Selling General Administrative of 1.7 B, as well as many indicators such as . GPT financial statements analysis is a perfect complement when working with GPT Infraprojects Valuation or Volatility modules.
  
This module can also supplement various GPT Infraprojects Technical models . Check out the analysis of GPT Infraprojects Correlation against competitors.

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Additional Tools for GPT Stock Analysis

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