Compare Average Payables 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 Average Payables Analysis
Compare Alphabet Class C, and Blue Moon Zinc Average Payables Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GOOG | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
MOON | 68.9 K | 68.9 K | 68.9 K | 68.9 K | 68.9 K | 68.9 K | 68.9 K | 99.8 K | 99.8 K | 94.7 K | 194.8 K | 194.8 K | 180 K | 52.9 K | 47.6 K | 92.1 K |
Alphabet Class C, and Blue Moon Zinc Average Payables description
The average amount owed to suppliers and creditors over a specific period, reflecting the company's payment cycle and credit terms with suppliers.Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.Cash Cows Invested few shares | ||
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Momentum Invested over 60 shares | ||
ESG Investing Invested few shares | ||
Macroaxis Index Invested over 500 shares | ||
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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