Jindal Short Long Term Debt Total from 2010 to 2024

JINDALSAW   297.00  2.90  0.97%   
Jindal Saw Short and Long Term Debt Total yearly trend continues to be comparatively stable with very little volatility. Short and Long Term Debt Total will likely drop to about 45.7 B in 2024. From the period from 2010 to 2024, Jindal Saw Short and Long Term Debt Total quarterly data regression had r-value of  0.27 and coefficient of variation of  31.02. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2010-12-31
Previous Quarter
57.3 B
Current Value
45.7 B
Quarterly Volatility
16.7 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Jindal Saw financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Jindal Saw's main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.9 B, Interest Expense of 3.9 B or Selling General Administrative of 16.1 B, as well as many indicators such as . Jindal financial statements analysis is a perfect complement when working with Jindal Saw Valuation or Volatility modules.
  
This module can also supplement various Jindal Saw Technical models . Check out the analysis of Jindal Saw Correlation against competitors.

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Additional Tools for Jindal Stock Analysis

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