Compare Cash Flow To Debt 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 Cash Flow To Debt Ratio Analysis
Compare Matrix Service, and Primoris Services Cash Flow To Debt Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MTRX | 0.8834 | 6.6249 | 6.6249 | 6.6249 | 2.7758 | (0.4195) | (0.4195) | 7.7415 | 7.7415 | 2.6279 | (0.517) | (2.6163) | 0.6989 | 19.4092 | 43.7582 |
| PRIM | 2.0459 | 0.4353 | 0.6657 | 0.3542 | 0.1486 | 0.1764 | 0.2394 | 0.73 | 0.3445 | 0.3358 | 0.9854 | 0.1206 | 0.0729 | 0.2072 | 0.2 |
Matrix Service, and Primoris Services Cash Flow To Debt Ratio description
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 Synthetics Thematic Idea Now
Synthetics
Companies involved in production of silicon and other synthetic products . The Synthetics theme has 40 constituents at this time.
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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