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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PANW | 220 | 4.3834 | 8.4841 | 10.0424 | 16.3384 | 8.1186 | 6.778 | 7.9985 | 7.3828 | 7.276 | 9.0386 | 9.0893 | 10.9954 | 12.9123 | 12.27 |
| CRWD | 188 | 188 | 188 | 188 | 188 | 188 | 188 | 83.6173 | 39.7468 | 27.0225 | 53.5426 | 28.2661 | 11.016 | 22.8441 | 21.7 |
| NET | 50.3803 | 50.3803 | 50.3803 | 50.3803 | 50.3803 | 50.3803 | 50.3803 | 33.4991 | 22.1711 | 17.8417 | 52.8462 | 62.5664 | 15.128 | 21.423 | 37.93 |
| PLTR | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 11.3902 | 22.0906 | 38.6254 | 22.7183 | 6.952 | 16.5714 | 21.69 |
| ZS | 62.5026 | 62.5026 | 62.5026 | 62.5026 | 62.5026 | 42.5728 | 27.2012 | 11.8609 | 34.3846 | 38.9376 | 47.5444 | 19.8244 | 14.3763 | 12.376 | 11.76 |
| PATH | 241 | 241 | 241 | 241 | 241 | 241 | 241 | 241 | 241 | 107 | 58.9517 | 22.1585 | 7.9518 | 9.9057 | 9.41 |
Splunk Inc, Palo Alto Networks, and Crowdstrike Holdings 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.Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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