Predictive Price To Sales Ratio from 2010 to 2024

POAI Stock  USD 0.81  0.03  3.85%   
Predictive Oncology's Price To Sales Ratio is decreasing with slightly volatile movements from year to year. Price To Sales Ratio is predicted to flatten to 7.05. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Predictive Oncology'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
7.42031451
Current Value
7.05
Quarterly Volatility
67.02915486
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Predictive Oncology financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Predictive Oncology's main balance sheet or income statement drivers, such as Depreciation And Amortization of 954.9 K, Interest Expense of 12.9 M or Selling General Administrative of 7.1 M, as well as many indicators such as Price To Sales Ratio of 7.05, Dividend Yield of 0.0 or PTB Ratio of 1.52. Predictive financial statements analysis is a perfect complement when working with Predictive Oncology Valuation or Volatility modules.
  
Check out the analysis of Predictive Oncology Correlation against competitors.
For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.

Latest Predictive Oncology's Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Predictive Oncology over the last few years. Price to Sales Ratio is figured by comparing Predictive Oncology stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Predictive Oncology sales, a figure that is much harder to manipulate than other Predictive Oncology 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. Predictive Oncology's Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Predictive Oncology's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 2.96 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

Predictive Price To Sales Ratio Regression Statistics

Arithmetic Mean46.07
Geometric Mean21.50
Coefficient Of Variation145.50
Mean Deviation46.81
Median17.32
Standard Deviation67.03
Sample Variance4,493
Range245
R-Value(0.70)
Mean Square Error2,500
R-Squared0.48
Significance0
Slope(10.42)
Total Sum of Squares62,901

Predictive Price To Sales Ratio History

2024 7.05
2023 7.42
2022 14.89
2021 36.77
2020 6.99
2019 5.31
2018 5.62

About Predictive Oncology Financial Statements

Investors use fundamental indicators, such as Predictive Oncology's Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Although Predictive Oncology's investors may analyze each financial statement separately, they are all interrelated. Understanding these patterns can help investors make the right trading decisions.
Last ReportedProjected for Next Year
Price To Sales Ratio 7.42  7.05 

Currently Active Assets on Macroaxis

When determining whether Predictive Oncology offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Predictive Oncology's 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 Predictive Oncology Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Predictive Oncology Stock:
Check out the analysis of Predictive Oncology Correlation against competitors.
For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.
You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Is Health Care Equipment & Supplies space 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 Predictive Oncology. If investors know Predictive 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 Predictive Oncology listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(2.96)
Revenue Per Share
0.416
Quarterly Revenue Growth
(0.43)
Return On Assets
(0.56)
Return On Equity
(1.49)
The market value of Predictive Oncology is measured differently than its book value, which is the value of Predictive that is recorded on the company's balance sheet. Investors also form their own opinion of Predictive Oncology's value that differs from its market value or its book value, called intrinsic value, which is Predictive Oncology's 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 Predictive Oncology's market value can be influenced by many factors that don't directly affect Predictive Oncology's 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 Predictive Oncology's value and its price as these two are different measures arrived at by different means. Investors typically determine if Predictive Oncology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Predictive Oncology's 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.