Highwoods Cost Of Revenue from 2010 to 2025

HIW Stock  USD 29.43  0.11  0.38%   
Highwoods Properties Cost Of Revenue yearly trend continues to be fairly stable with very little volatility. Cost Of Revenue will likely drop to about 245.1 M in 2025. During the period from 2010 to 2025, Highwoods Properties Cost Of Revenue regression line of quarterly data had mean square error of 857.8 T and geometric mean of  234,368,804. View All Fundamentals
 
Cost Of Revenue  
First Reported
2000-03-31
Previous Quarter
65.7 M
Current Value
71.5 M
Quarterly Volatility
35.8 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Highwoods Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Highwoods Properties' main balance sheet or income statement drivers, such as Depreciation And Amortization of 200.4 M, Interest Expense of 154.6 M or Selling General Administrative of 34.8 M, as well as many indicators such as Price To Sales Ratio of 3.9, Dividend Yield of 0.0775 or PTB Ratio of 1.26. Highwoods financial statements analysis is a perfect complement when working with Highwoods Properties Valuation or Volatility modules.
  
Check out the analysis of Highwoods Properties Correlation against competitors.
For more information on how to buy Highwoods Stock please use our How to Invest in Highwoods Properties guide.

Latest Highwoods Properties' Cost Of Revenue Growth Pattern

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

Highwoods Cost Of Revenue Regression Statistics

Arithmetic Mean236,402,196
Geometric Mean234,368,804
Coefficient Of Variation13.39
Mean Deviation22,941,796
Median236,888,000
Standard Deviation31,648,342
Sample Variance1001.6T
Range124.9M
R-Value0.45
Mean Square Error857.8T
R-Squared0.20
Significance0.08
Slope2,977,922
Total Sum of Squares15024.3T

Highwoods Cost Of Revenue History

2025245.1 M
2024272.2 M
2023268.8 M
2022259.8 M
2021236.4 M
2020231.8 M
2019248.5 M

About Highwoods Properties Financial Statements

Highwoods Properties investors use historical fundamental indicators, such as Highwoods Properties' Cost Of Revenue, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Highwoods Properties. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Cost Of Revenue272.2 M245.1 M

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Additional Tools for Highwoods Stock Analysis

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