Limoneira Cost Of Revenue from 2010 to 2024

LMNR Stock  USD 27.62  0.28  1.00%   
Limoneira Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to drop to about 104.4 M. During the period from 2010 to 2024, Limoneira Cost Of Revenue destribution of quarterly values had range of 161.8 M from its regression line and mean deviation of  43,027,569. View All Fundamentals
 
Cost Of Revenue  
First Reported
2008-10-31
Previous Quarter
42.2 M
Current Value
46.7 M
Quarterly Volatility
13.4 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Limoneira financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Limoneira's main balance sheet or income statement drivers, such as Depreciation And Amortization of 5.7 M, Interest Expense of 539.7 K or Selling General Administrative of 16.4 M, as well as many indicators such as Price To Sales Ratio of 3.11, Dividend Yield of 0.0113 or PTB Ratio of 2.72. Limoneira financial statements analysis is a perfect complement when working with Limoneira Valuation or Volatility modules.
  
Check out the analysis of Limoneira Correlation against competitors.

Latest Limoneira's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Limoneira Co over the last few years. Cost of Revenue is found on Limoneira income statement and represents the costs associated with goods and services Limoneira provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Limoneira's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Limoneira's overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Limoneira Cost Of Revenue Regression Statistics

Arithmetic Mean114,571,897
Geometric Mean103,609,593
Coefficient Of Variation43.36
Mean Deviation43,027,569
Median102,295,000
Standard Deviation49,680,905
Sample Variance2468.2T
Range161.8M
R-Value0.85
Mean Square Error722.2T
R-Squared0.73
Significance0.000052
Slope9,480,561
Total Sum of Squares34554.7T

Limoneira Cost Of Revenue History

2024104.4 M
2023199.8 M
2022173.8 M
2021165.1 M
2020152.8 M
2019161.8 M
2018156.8 M

About Limoneira Financial Statements

Limoneira shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Limoneira investors may analyze each financial statement separately, they are all interrelated. The changes in Limoneira's assets and liabilities, for example, are also reflected in the revenues and expenses on on Limoneira'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
Cost Of Revenue199.8 M104.4 M

Pair Trading with Limoneira

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

Moving against Limoneira Stock

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

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