Noodles Price To Sales Ratio from 2010 to 2024

NDLS Stock  USD 0.69  0.03  4.17%   
Noodles Price To Sales Ratio yearly trend continues to be comparatively stable with very little volatility. Price To Sales Ratio is likely to outpace its year average in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Noodles' market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
0.28334277
Current Value
0.52759274
Quarterly Volatility
1.25107815
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Noodles financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Noodles' main balance sheet or income statement drivers, such as Depreciation And Amortization of 24.4 M, Interest Expense of 3.4 M or Selling General Administrative of 44.7 M, as well as many indicators such as Price To Sales Ratio of 0.53, Dividend Yield of 0.0 or PTB Ratio of 4.82. Noodles financial statements analysis is a perfect complement when working with Noodles Valuation or Volatility modules.
  
Check out the analysis of Noodles Correlation against competitors.

Latest Noodles' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Noodles Company over the last few years. Price to Sales Ratio is figured by comparing Noodles Company stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Noodles sales, a figure that is much harder to manipulate than other Noodles Company multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. Noodles' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Noodles' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.07 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Noodles Price To Sales Ratio Regression Statistics

Arithmetic Mean1.09
Geometric Mean0.70
Coefficient Of Variation114.71
Mean Deviation0.94
Median0.64
Standard Deviation1.25
Sample Variance1.57
Range3.8207
R-Value(0.65)
Mean Square Error0.98
R-Squared0.42
Significance0.01
Slope(0.18)
Total Sum of Squares21.91

Noodles Price To Sales Ratio History

2020 0.28
2019 0.53
2013 2.7
2012 3.5
2011 4.1
2010 0.64

About Noodles Financial Statements

Noodles shareholders use historical fundamental indicators, such as Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although Noodles investors may analyze each financial statement separately, they are all interrelated. The changes in Noodles' assets and liabilities, for example, are also reflected in the revenues and expenses on on Noodles' 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
Price To Sales Ratio 0.28  0.53 

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Additional Tools for Noodles Stock Analysis

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