LSI Cost Of Revenue from 2010 to 2024

LYTS Stock  USD 16.72  0.06  0.36%   
LSI Industries Cost Of Revenue yearly trend continues to be comparatively stable with very little volatility. Cost Of Revenue will likely drop to about 187.2 M in 2024. From the period from 2010 to 2024, LSI Industries Cost Of Revenue quarterly data regression had r-value of  0.62 and coefficient of variation of  33.37. View All Fundamentals
 
Cost Of Revenue  
First Reported
1989-09-30
Previous Quarter
76.8 M
Current Value
95.2 M
Quarterly Volatility
20.6 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check LSI Industries financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among LSI Industries' main balance sheet or income statement drivers, such as Depreciation And Amortization of 6.2 M, Interest Expense of 2.3 M or Total Revenue of 256.1 M, as well as many indicators such as Price To Sales Ratio of 0.86, Dividend Yield of 0.0204 or PTB Ratio of 1.95. LSI financial statements analysis is a perfect complement when working with LSI Industries Valuation or Volatility modules.
  
Check out the analysis of LSI Industries Correlation against competitors.
For more information on how to buy LSI Stock please use our How to Invest in LSI Industries guide.

Latest LSI Industries' Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of LSI Industries over the last few years. Cost of Revenue is found on LSI Industries income statement and represents the costs associated with goods and services LSI Industries 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 LSI Industries' Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in LSI Industries' 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  

LSI Cost Of Revenue Regression Statistics

Arithmetic Mean240,354,538
Geometric Mean209,159,547
Coefficient Of Variation33.37
Mean Deviation47,629,836
Median236,638,000
Standard Deviation80,204,158
Sample Variance6432.7T
Range344.5M
R-Value0.62
Mean Square Error4258.5T
R-Squared0.39
Significance0.01
Slope11,131,980
Total Sum of Squares90057.9T

LSI Cost Of Revenue History

2024187.2 M
2023336 M
2022360 M
2021345.9 M
2020236.6 M
2019232 M
2018255.1 M

About LSI Industries Financial Statements

LSI Industries shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although LSI Industries investors may analyze each financial statement separately, they are all interrelated. The changes in LSI Industries' assets and liabilities, for example, are also reflected in the revenues and expenses on on LSI 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
Cost Of Revenue336 M187.2 M

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Additional Tools for LSI Stock Analysis

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