Designer Cost Of Revenue from 2010 to 2024

DBI Stock  USD 9.44  0.25  2.58%   
Designer Brands' Cost Of Revenue is increasing with slightly volatile movements from year to year. Cost Of Revenue is predicted to flatten to about 1.6 B. For the period between 2010 and 2024, Designer Brands, Cost Of Revenue quarterly trend regression had mean deviation of  297,401,472 and range of 1.5 B. View All Fundamentals
 
Cost Of Revenue  
First Reported
2000-01-31
Previous Quarter
529.9 M
Current Value
547 M
Quarterly Volatility
211.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Designer Brands financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Designer main balance sheet or income statement drivers, such as Interest Expense of 33.8 M, Selling General Administrative of 578.8 M or Total Revenue of 2.2 B, as well as many exotic indicators such as Price To Sales Ratio of 1.28, Dividend Yield of 0.021 or PTB Ratio of 3.15. Designer financial statements analysis is a perfect complement when working with Designer Brands Valuation or Volatility modules.
  
This module can also supplement Designer Brands' financial leverage analysis and stock options assessment as well as various Designer Brands Technical models . Check out the analysis of Designer Brands Correlation against competitors.
For more detail on how to invest in Designer Stock please use our How to Invest in Designer Brands guide.

Latest Designer Brands' Cost Of Revenue Growth Pattern

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

Designer Cost Of Revenue Regression Statistics

Arithmetic Mean1,855,172,620
Geometric Mean1,813,524,702
Coefficient Of Variation20.62
Mean Deviation297,401,472
Median1,923,478,000
Standard Deviation382,608,859
Sample Variance146389.5T
Range1.5B
R-Value0.68
Mean Square Error84035.4T
R-Squared0.47
Significance0
Slope58,462,222
Total Sum of Squares2049453.5T

Designer Cost Of Revenue History

20241.6 B
20232.1 B
20222.2 B
20212.1 B
20201.9 B
20192.5 B
20182.2 B

About Designer Brands Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Designer Brands income statement, its balance sheet, and the statement of cash flows. Designer Brands investors use historical funamental indicators, such as Designer Brands's Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Designer Brands investors may use each financial statement separately, they are all related. The changes in Designer Brands's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Designer Brands's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Designer Brands Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Designer Brands. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Cost Of Revenue2.1 B1.6 B

Pair Trading with Designer Brands

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

Moving together with Designer Stock

  0.85HD Home Depot Financial Report 21st of May 2024 PairCorr
  0.71VIPS Vipshop Holdings Financial Report 28th of May 2024 PairCorr

Moving against Designer Stock

  0.54AAN AaronsPairCorr
The ability to find closely correlated positions to Designer Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Designer Brands 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 Designer Brands - 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 Designer Brands to buy it.
The correlation of Designer Brands 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 Designer Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Designer Brands 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 Designer Brands 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
When determining whether Designer Brands offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Designer Brands' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Designer Brands Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Designer Brands Stock:
Check out the analysis of Designer Brands Correlation against competitors.
For more detail on how to invest in Designer Stock please use our How to Invest in Designer Brands guide.
Note that the Designer Brands information on this page should be used as a complementary analysis to other Designer Brands' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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Is Designer Brands' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Designer Brands. If investors know Designer will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Designer Brands listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.74)
Dividend Share
0.2
Earnings Share
0.46
Revenue Per Share
50.166
Quarterly Revenue Growth
(0.01)
The market value of Designer Brands is measured differently than its book value, which is the value of Designer that is recorded on the company's balance sheet. Investors also form their own opinion of Designer Brands' value that differs from its market value or its book value, called intrinsic value, which is Designer Brands' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Designer Brands' market value can be influenced by many factors that don't directly affect Designer Brands' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Designer Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Designer Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Designer Brands' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.