Twitter Price to Sales Ratio Trend from 2010 to 2020

<div class='circular--portrait' style='background:#689CFD;color: #ffffff;font-size:3em;padding-top: 38px;;'>TWT</div>
TWTR -- USA Stock  

 Earnings Call  In Two Weeks

Twitter Price to Sales Ratio yearly trend continues to be relatively stable with very little volatility. Price to Sales Ratio is likely to grow to 5.34 this year. During the period from 2010 to 2020, Twitter Price to Sales Ratio destribution of quarterly values had range of  13.62 from its regression line and mean deviation of  6.17. Twitter Revenues is relatively stable at the moment as compared to the past year. Twitter reported last year Revenues of 3.46 Billion. As of 07/03/2020, Selling General and Administrative Expense is likely to grow to about 1.2 B, while Earning Before Interest and Taxes EBIT is likely to drop (422.9 M).

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Check Twitter financial statements over time to gain insight into the future company performance. Apply historical fundamental analysis to find patterns among financial statement drivers such as Direct Expenses of 1.2 B, Cost of Revenue of 905.3 M or Gross Profit of 1.6 B, as well as many exotic indicators such as Interest Coverage of 20.58, Long Term Debt to Equity of 0.25 or PPandE Turnover of 3.22. This can be a perfect complement to check Twitter Valuation or Volatility. It can also complement various Twitter Technical models. Additionally, take a look at the analysis of Twitter Correlation with competitors.

  Twitter Quarterly Price to Sales Ratio

Twitter Price to Sales Ratio Marginal Breakdown

Showing smoothed Price to Sales Ratio of Twitter with missing and latest data points interpolated. Price to Sales Ratio is figured by comparing Twitter stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Twitter sales, a figure that is much harder to manipulate than other Twitter multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. An alternative calculation method to [PS]; that measures the ratio between a company's [Price] and it's [SPS].
ViewLast Reported 6.52 X10 Years Trend
Decreasing
Slightly volatile
 Price to Sales Ratio 
      Timeline 

Twitter Price to Sales Ratio Regression Statistics

Arithmetic Mean 10.82
Geometric Mean 8.96
Coefficient Of Variation 60.72
Mean Deviation 6.17
Median 6.91
Standard Deviation 6.57
Sample Variance 43.19
Range 13.62
R-Value(0.89)
Mean Square Error 9.65
R-Squared 0.80
Significance 0.00020737
Slope(1.77)
Total Sum of Squares 431.90

Twitter Price to Sales Ratio Over Time

2010  18.14 
2014  15.47 
2015  6.91 
2016  4.52 
2019  5.20 
2020  5.34 

About Twitter Financial Statement Charts

There are typically three primary documents that fall into the category of financial statements. These documents include Twitter income statement, its balance sheet, and the statement of cash flows. Twitter investors use historical funamental indicators, such as Twitter's Price to Sales Ratio, to determine how well the company is positioned to perform in the future. Although Twitter investors may use each financial statement separately, they are all related. The changes in Twitter's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Twitter'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 Twitter Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Twitter. Please read more on our technical analysis and fundamental analysis pages.
 2017 2018 2019 2020 (projected)
Accounts Payable170.97 M145.19 M161.15 M173.87 M
Receivables664.27 M788.7 M850.18 M917.3 M

Current Sentiment - TWTR

Twitter Investor Sentiment

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Additionally, take a look at the analysis of Twitter Correlation with competitors. Please also try Price Ceiling Movement module to calculate and plot price ceiling movement for different equity instruments.
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