Natural Inventory Turnover from 2010 to 2024

NRP Stock  USD 109.00  1.60  1.49%   
Natural Resource Inventory Turnover yearly trend continues to be relatively stable with very little volatility. Inventory Turnover is likely to drop to 5.21. Inventory Turnover is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. View All Fundamentals
 
Inventory Turnover  
First Reported
2010-12-31
Previous Quarter
5.48
Current Value
5.21
Quarterly Volatility
8.03881253
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Natural Resource financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Natural Resource's main balance sheet or income statement drivers, such as Interest Expense of 13.4 M, Total Revenue of 255 M or Gross Profit of 225.4 M, as well as many indicators such as Price To Sales Ratio of 6.05, Dividend Yield of 0.1 or PTB Ratio of 1.95. Natural financial statements analysis is a perfect complement when working with Natural Resource Valuation or Volatility modules.
  
Check out the analysis of Natural Resource Correlation against competitors.

Latest Natural Resource's Inventory Turnover Growth Pattern

Below is the plot of the Inventory Turnover of Natural Resource Partners over the last few years. It is a ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management. Natural Resource's Inventory Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Natural Resource's overall financial position and show how it may be relating to other accounts over time.
Inventory Turnover10 Years Trend
Slightly volatile
   Inventory Turnover   
       Timeline  

Natural Inventory Turnover Regression Statistics

Arithmetic Mean11.20
Geometric Mean8.78
Coefficient Of Variation71.77
Mean Deviation7.31
Median5.48
Standard Deviation8.04
Sample Variance64.62
Range17.0626
R-Value(0.87)
Mean Square Error17.05
R-Squared0.75
Significance0.000026
Slope(1.56)
Total Sum of Squares904.72

Natural Inventory Turnover History

2024 5.21
2023 5.48
2017 4.77
2016 6.71
2015 12.87

About Natural Resource Financial Statements

Natural Resource shareholders use historical fundamental indicators, such as Inventory Turnover, to determine how well the company is positioned to perform in the future. Although Natural Resource investors may analyze each financial statement separately, they are all interrelated. The changes in Natural Resource's assets and liabilities, for example, are also reflected in the revenues and expenses on on Natural Resource's 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
Inventory Turnover 5.48  5.21 

Pair Trading with Natural Resource

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 Natural Resource 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 Natural Resource will appreciate offsetting losses from the drop in the long position's value.

Moving together with Natural Stock

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Moving against Natural Stock

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  0.45VIVK VivakorPairCorr
The ability to find closely correlated positions to Natural Resource could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Natural Resource 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 Natural Resource - 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 Natural Resource Partners to buy it.
The correlation of Natural Resource 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 Natural Resource moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Natural Resource Partners 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 Natural Resource 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 Natural Stock Analysis

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