Power Price To Sales Ratio from 2010 to 2025

PSIX Stock  USD 29.23  0.52  1.75%   
Power Solutions Price To Sales Ratio yearly trend continues to be fairly stable with very little volatility. Price To Sales Ratio will likely drop to 0.11 in 2025. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Power Solutions' 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
0.12
Current Value
0.11
Quarterly Volatility
6.37607729
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Power Solutions financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Power Solutions' main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.4 M, Total Revenue of 264.9 M or Gross Profit of 127.8 M, as well as many indicators such as Price To Sales Ratio of 0.11, Dividend Yield of 0.0 or Days Sales Outstanding of 71.71. Power financial statements analysis is a perfect complement when working with Power Solutions Valuation or Volatility modules.
  
Check out the analysis of Power Solutions Correlation against competitors.

Latest Power Solutions' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Power Solutions International, over the last few years. Price to Sales Ratio is figured by comparing Power Solutions Inte stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Power Solutions sales, a figure that is much harder to manipulate than other Power Solutions International, 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. Power Solutions' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Power Solutions' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 1.51 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Power Price To Sales Ratio Regression Statistics

Arithmetic Mean2.13
Geometric Mean0.41
Coefficient Of Variation298.82
Mean Deviation3.09
Median0.31
Standard Deviation6.38
Sample Variance40.65
Range25.7667
R-Value(0.48)
Mean Square Error33.62
R-Squared0.23
Significance0.06
Slope(0.64)
Total Sum of Squares609.82

Power Price To Sales Ratio History

2025 0.11
2024 0.12
2023 0.1
2022 0.14
2021 0.15
2020 0.18
2019 0.31

About Power Solutions Financial Statements

Power Solutions investors use historical fundamental indicators, such as Power Solutions' Price To Sales Ratio, 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 Power Solutions. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 0.12  0.11 

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Additional Tools for Power Stock Analysis

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