Landstar Net Receivables from 2010 to 2026

LSTR Stock  USD 149.36  0.64  0.43%   
Landstar System Net Receivables yearly trend continues to be relatively stable with very little volatility. Net Receivables is likely to drop to about 491.8 M. During the period from 2010 to 2026, Landstar System Net Receivables destribution of quarterly values had range of 1.2 B from its regression line and mean deviation of  199,933,394. View All Fundamentals
 
Net Receivables  
First Reported
1993-03-31
Previous Quarter
752.4 M
Current Value
722.9 M
Quarterly Volatility
266.6 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Landstar System financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Landstar System's main balance sheet or income statement drivers, such as Depreciation And Amortization of 27 M, Interest Expense of 946.2 K or Total Revenue of 3.1 B, as well as many indicators such as Price To Sales Ratio of 0.64, Dividend Yield of 0.0234 or PTB Ratio of 5.12. Landstar financial statements analysis is a perfect complement when working with Landstar System Valuation or Volatility modules.
  
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Check out the analysis of Landstar System Correlation against competitors.
To learn how to invest in Landstar Stock, please use our How to Invest in Landstar System guide.
Evaluating Landstar System's Net Receivables across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Landstar System's fundamental strength.

Latest Landstar System's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Landstar System over the last few years. It is Landstar System's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Landstar System's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Landstar Net Receivables Regression Statistics

Arithmetic Mean636,349,269
Geometric Mean571,582,602
Coefficient Of Variation41.73
Mean Deviation199,933,394
Median624,102,000
Standard Deviation265,517,760
Sample Variance70499.7T
Range1.2B
R-Value0.64
Mean Square Error44599.8T
R-Squared0.41
Significance0.01
Slope33,540,955
Total Sum of Squares1127994.9T

Landstar Net Receivables History

2026491.8 M
2025722.9 M
2024731 M
2023787.1 M
2022B
20211.3 B
2020898.9 M

About Landstar System Financial Statements

Landstar System shareholders use historical fundamental indicators, such as Net Receivables, to determine how well the company is positioned to perform in the future. Although Landstar System investors may analyze each financial statement separately, they are all interrelated. The changes in Landstar System's assets and liabilities, for example, are also reflected in the revenues and expenses on on Landstar System'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
Net Receivables722.9 M491.8 M

Pair Trading with Landstar System

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 Landstar System 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 Landstar System will appreciate offsetting losses from the drop in the long position's value.

Moving together with Landstar Stock

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Moving against Landstar Stock

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

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