SES Price To Sales Ratio from 2010 to 2024

SES Stock  USD 0.34  0.03  9.68%   
SES AI 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 SES AI's 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
8.8
Current Value
12.65
Quarterly Volatility
23.19575559
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check SES AI financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among SES AI's main balance sheet or income statement drivers, such as Depreciation And Amortization of 5.8 M, Interest Expense of 22.8 M or Selling General Administrative of 49.9 M, as well as many indicators such as Price To Sales Ratio of 12.65, Dividend Yield of 0.0 or PTB Ratio of 1.69. SES financial statements analysis is a perfect complement when working with SES AI Valuation or Volatility modules.
  
Check out the analysis of SES AI Correlation against competitors.

Latest SES AI's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of SES AI Corp over the last few years. Price to Sales Ratio is figured by comparing SES AI Corp stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on SES AI sales, a figure that is much harder to manipulate than other SES AI Corp 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. SES AI's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in SES AI's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.00 X10 Years Trend
Very volatile
   Price To Sales Ratio   
       Timeline  

SES Price To Sales Ratio Regression Statistics

Arithmetic Mean15.92
Geometric Mean8.54
Coefficient Of Variation145.74
Mean Deviation12.09
Median9.78
Standard Deviation23.20
Sample Variance538.04
Range96.3049
R-Value(0.06)
Mean Square Error577.40
R-Squared0
Significance0.83
Slope(0.31)
Total Sum of Squares7,533

SES Price To Sales Ratio History

2024 12.65
2023 8.8
2017 9.78
2016 96.94
2015 22.42
2014 0.82
2013 0.63

About SES AI Financial Statements

SES AI 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 SES AI investors may analyze each financial statement separately, they are all interrelated. The changes in SES AI's assets and liabilities, for example, are also reflected in the revenues and expenses on on SES AI's 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 8.80  12.65 

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Additional Tools for SES Stock Analysis

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