Life Income Tax Expense from 2010 to 2024

LICI Stock   905.05  15.55  1.75%   
Life Insurance Income Tax Expense yearly trend continues to be comparatively stable with very little volatility. Income Tax Expense will likely drop to about 1.3 B in 2024. From the period from 2010 to 2024, Life Insurance Income Tax Expense quarterly data regression had r-value of (0.22) and coefficient of variation of  89.25. View All Fundamentals
 
Income Tax Expense  
First Reported
2010-12-31
Previous Quarter
1.4 B
Current Value
1.3 B
Quarterly Volatility
30.7 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Life Insurance financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Life Insurance's main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.4 B, Interest Expense of 1.2 B or Selling General Administrative of 540.7 M, as well as many indicators such as . Life financial statements analysis is a perfect complement when working with Life Insurance Valuation or Volatility modules.
  
This module can also supplement various Life Insurance Technical models . Check out the analysis of Life Insurance Correlation against competitors.

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Additional Tools for Life Stock Analysis

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