Compare Price To Sales Ratio Across Equities
You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
Cross Equities Price To Sales Ratio Analysis
Select Fundamental
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AREBW | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 4.4 K | 764 | 160 | 45.5499 | 65.0206 | 1.5352 | 0.5007 | 0.48 |
| AREB | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 22.2 K | 4.4 K | 764 | 160 | 45.5499 | 65.0206 | 1.5352 | 0.5007 | 0.48 |
| FORD | 14.905 | 3.2155 | 4.6795 | 3.264 | 3.7661 | 4.6203 | 4.3311 | 4.1624 | 2.4716 | 3.8636 | 6.0942 | 3.1607 | 2.0842 | 2.4 | 2.28 |
| CROX | 9.9 K | 1.3105 | 1.1524 | 1.1591 | 0.8875 | 0.7078 | 0.4857 | 0.8923 | 1.6335 | 2.395 | 3.0466 | 3.462 | 1.8673 | 1.4471 | 1.37 |
American Rebel Holdings, Phoenix Footwear, and ASICS Price To Sales Ratio description
Price to Sales Ratio is figured by comparing entities stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on companies sales, a figure that is much harder to manipulate than other organizations multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. 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.Trending Themes
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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