Quanta Other Liab from 2010 to 2024

PWR Stock  USD 341.92  1.91  0.56%   
Quanta Services Other Liabilities yearly trend continues to be relatively stable with very little volatility. Other Liabilities is likely to grow to about 960.4 M this year. During the period from 2010 to 2024, Quanta Services Other Liabilities destribution of quarterly values had range of 898.8 M from its regression line and mean deviation of  200,670,982. View All Fundamentals
 
Other Liabilities  
First Reported
2000-03-31
Previous Quarter
850 M
Current Value
874.9 M
Quarterly Volatility
209.3 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Quanta Services financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Quanta Services' main balance sheet or income statement drivers, such as Depreciation And Amortization of 644.5 M, Interest Expense of 196.3 M or Selling General Administrative of 1.6 B, as well as many indicators such as Price To Sales Ratio of 1.16, Dividend Yield of 0.0017 or PTB Ratio of 3.19. Quanta financial statements analysis is a perfect complement when working with Quanta Services Valuation or Volatility modules.
  
Check out the analysis of Quanta Services Correlation against competitors.
To learn how to invest in Quanta Stock, please use our How to Invest in Quanta Services guide.

Latest Quanta Services' Other Liab Growth Pattern

Below is the plot of the Other Liab of Quanta Services over the last few years. It is Quanta Services' Other Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Quanta Services' overall financial position and show how it may be relating to other accounts over time.
Other Liab10 Years Trend
Slightly volatile
   Other Liab   
       Timeline  

Quanta Other Liab Regression Statistics

Arithmetic Mean509,123,623
Geometric Mean430,073,262
Coefficient Of Variation50.43
Mean Deviation200,670,982
Median521,737,000
Standard Deviation256,752,210
Sample Variance65921.7T
Range898.8M
R-Value0.96
Mean Square Error4952.2T
R-Squared0.93
Slope55,372,937
Total Sum of Squares922903.8T

Quanta Other Liab History

2024960.4 M
2023914.7 M
2022795.4 M
2021678.4 M
2020557.6 M
2019526.1 M
2018623.7 M

About Quanta Services Financial Statements

Quanta Services shareholders use historical fundamental indicators, such as Other Liab, to determine how well the company is positioned to perform in the future. Although Quanta Services investors may analyze each financial statement separately, they are all interrelated. The changes in Quanta Services' assets and liabilities, for example, are also reflected in the revenues and expenses on on Quanta Services' 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
Other Liabilities914.7 M960.4 M

Pair Trading with Quanta Services

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Quanta Services position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Quanta Services will appreciate offsetting losses from the drop in the long position's value.

Moving together with Quanta Stock

  0.87J Jacobs SolutionsPairCorr
  0.68ESOA Energy Services Fiscal Year End 16th of December 2024 PairCorr
The ability to find closely correlated positions to Quanta Services could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quanta Services when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Quanta Services - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Quanta Services to buy it.
The correlation of Quanta Services is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Quanta Services moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quanta Services moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Quanta Services can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Quanta Stock Analysis

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