Persistent Ebitda from 2010 to 2024

PERSISTENT   5,821  93.35  1.58%   
Persistent Systems EBITDA yearly trend continues to be comparatively stable with very little volatility. EBITDA is likely to outpace its year average in 2024. From the period from 2010 to 2024, Persistent Systems EBITDA quarterly data regression had r-value of  0.92 and coefficient of variation of  72.76. View All Fundamentals
 
EBITDA  
First Reported
2011-06-30
Previous Quarter
4.9 B
Current Value
5.3 B
Quarterly Volatility
1.3 B
 
Yuan Drop
 
Covid
Check Persistent Systems financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Persistent Systems' main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.2 B, Interest Expense of 490.6 M or Total Revenue of 103.1 B, as well as many indicators such as . Persistent financial statements analysis is a perfect complement when working with Persistent Systems Valuation or Volatility modules.
  
This module can also supplement various Persistent Systems Technical models . Check out the analysis of Persistent Systems Correlation against competitors.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Persistent Stock Analysis

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