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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| YTRA | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 3.1671 | 19.7252 | 11.7902 | 6.3093 | 4.755 | 4.52 |
| DESP | 2.8548 | 2.8548 | 2.8548 | 2.8548 | 2.8548 | 2.8548 | 2.9281 | 2.102 | 2.3355 | 1.784 | 7.1203 | 2.4752 | 0.7326 | 1.034 | 0.98 |
| LIND | 1.1199 | 1.1199 | 1.1199 | 0.2915 | 0.3087 | 2.3765 | 1.7801 | 1.6375 | 1.972 | 2.2608 | 10.3393 | 5.3139 | 0.9503 | 1.0538 | 1.96 |
| MOND | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 11.8013 | 6.4066 | 4.5961 | 0.9543 | 0.91 |
| EXPE | 6.3388 | 1.1434 | 2.0458 | 1.9697 | 1.9092 | 2.4248 | 1.9415 | 1.8051 | 1.5052 | 1.3191 | 3.6013 | 3.1472 | 1.1763 | 1.7139 | 2.56 |
Yatra Online, Despegar Corp, and Sabre 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.Use Investing Themes to Complement your positions
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Consumer Discretionary ETFs Thematic Idea Now
Consumer Discretionary ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Consumer Discretionary ETFs theme has 29 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Consumer Discretionary ETFs Theme or any other thematic opportunities.
| View All Next | Launch |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |