Pagaya Price To Sales Ratio from 2010 to 2024
| PGYWW Stock | USD 0.07 0.16 69.57% |
Price To Sales Ratio | First Reported 2010-12-31 | Previous Quarter 1.28607207 | Current Value 1.22 | Quarterly Volatility 22.71764404 |
Check Pagaya Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Pagaya Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 20.1 M, Selling General Administrative of 141.8 M or Selling And Marketing Expenses of 46.6 M, as well as many indicators such as Price To Sales Ratio of 1.22, Dividend Yield of 0.0 or PTB Ratio of 1.69. Pagaya financial statements analysis is a perfect complement when working with Pagaya Technologies Valuation or Volatility modules.
Pagaya | Price To Sales Ratio |
Latest Pagaya Technologies' Price To Sales Ratio Growth Pattern
Below is the plot of the Price To Sales Ratio of Pagaya Technologies Ltd over the last few years. Price to Sales Ratio is figured by comparing Pagaya Technologies stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Pagaya Technologies sales, a figure that is much harder to manipulate than other Pagaya Technologies Ltd 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. Pagaya Technologies' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Pagaya Technologies' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 0.00 X | 10 Years Trend |
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Price To Sales Ratio |
| Timeline |
Pagaya Price To Sales Ratio Regression Statistics
| Arithmetic Mean | 36.51 | |
| Geometric Mean | 19.23 | |
| Coefficient Of Variation | 62.22 | |
| Mean Deviation | 20.11 | |
| Median | 51.60 | |
| Standard Deviation | 22.72 | |
| Sample Variance | 516.09 | |
| Range | 50.7674 | |
| R-Value | (0.83) | |
| Mean Square Error | 173.26 | |
| R-Squared | 0.69 | |
| Significance | 0.0001 | |
| Slope | (4.21) | |
| Total Sum of Squares | 7,225 |
Pagaya Price To Sales Ratio History
About Pagaya Technologies Financial Statements
Pagaya Technologies investors use historical fundamental indicators, such as Pagaya Technologies' 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 Pagaya Technologies. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Price To Sales Ratio | 1.29 | 1.22 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Pagaya Stock Analysis
When running Pagaya Technologies' price analysis, check to measure Pagaya Technologies' 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 Pagaya Technologies is operating at the current time. Most of Pagaya Technologies' value examination focuses on studying past and present price action to predict the probability of Pagaya Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pagaya Technologies' price. Additionally, you may evaluate how the addition of Pagaya Technologies to your portfolios can decrease your overall portfolio volatility.