Compare Inventory Turnover 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 Inventory Turnover Analysis
Compare NYSE Composite, and CLPS Inc Inventory Turnover Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CLPS | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.3 K | 1.2 K | 1.1 K |
NYSE Composite, and CLPS Inc Inventory Turnover description
A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.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 Chemicals Makers Thematic Idea Now
Chemicals Makers
Companies developing chemicals for crops, soil as well as human, and animals. The Chemicals Makers theme has 47 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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