Nabors Payables Turnover from 2010 to 2024

NBR Stock  USD 56.12  3.73  6.23%   
Nabors Industries Payables Turnover yearly trend continues to be relatively stable with very little volatility. Payables Turnover is likely to grow to 9.41 this year. Payables Turnover is a liquidity ratio that shows how quickly Nabors Industries pays off its suppliers by dividing total purchases by average accounts payable. View All Fundamentals
 
Payables Turnover  
First Reported
2010-12-31
Previous Quarter
8.27216905
Current Value
9.41
Quarterly Volatility
1.98952512
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Nabors Industries financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Nabors Industries' main balance sheet or income statement drivers, such as Depreciation And Amortization of 369.7 M, Interest Expense of 130.6 M or Total Revenue of 2.6 B, as well as many indicators such as Price To Sales Ratio of 0.24, Dividend Yield of 2.0E-4 or PTB Ratio of 1.93. Nabors financial statements analysis is a perfect complement when working with Nabors Industries Valuation or Volatility modules.
  
Check out the analysis of Nabors Industries Correlation against competitors.
To learn how to invest in Nabors Stock, please use our How to Invest in Nabors Industries guide.

Latest Nabors Industries' Payables Turnover Growth Pattern

Below is the plot of the Payables Turnover of Nabors Industries over the last few years. It is a liquidity ratio that shows how quickly a company pays off its suppliers by dividing total purchases by average accounts payable. Nabors Industries' Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Nabors Industries' overall financial position and show how it may be relating to other accounts over time.
Payables Turnover10 Years Trend
Pretty Stable
   Payables Turnover   
       Timeline  

Nabors Payables Turnover Regression Statistics

Arithmetic Mean8.76
Geometric Mean8.54
Coefficient Of Variation22.70
Mean Deviation1.58
Median8.38
Standard Deviation1.99
Sample Variance3.96
Range7.4631
R-Value(0.15)
Mean Square Error4.17
R-Squared0.02
Significance0.60
Slope(0.07)
Total Sum of Squares55.41

Nabors Payables Turnover History

2024 9.41
2023 8.27
2022 7.42
2021 7.8
2020 9.9
2019 9.5

About Nabors Industries Financial Statements

Nabors Industries shareholders use historical fundamental indicators, such as Payables Turnover, to determine how well the company is positioned to perform in the future. Although Nabors Industries investors may analyze each financial statement separately, they are all interrelated. The changes in Nabors Industries' assets and liabilities, for example, are also reflected in the revenues and expenses on on Nabors Industries' 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
Payables Turnover 8.27  9.41 

Pair Trading with Nabors Industries

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 Nabors Industries 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 Nabors Industries will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Nabors Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Nabors Industries 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 Nabors Industries - 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 Nabors Industries to buy it.
The correlation of Nabors Industries 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 Nabors Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Nabors Industries 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 Nabors Industries 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 Nabors Stock Analysis

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