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
Select Fundamental
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IAS | 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 |
| STGW | 18.3 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 98.1 M | 88.3 M | 45.7 M |
| AXTA | 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 |
| HWKN | 7.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 5.3 M | 4.8 M | 5 M |
| NCMI | 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 |
| SCL | 142.8 M | 142.8 M | 142.8 M | 142.8 M | 142.8 M | 142.8 M | 143.5 M | 143.5 M | 143.5 M | 143.5 M | 143.5 M | 143.5 M | 143.5 M | 129.1 M | 114.5 M |
| WPP | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 9.4 B | 9.4 B | 9.4 B | 9.4 B | 9.4 B | 9.4 B | 9.4 B | 8.5 B | 7 B |
| DLPN | 284.3 K | 1.2 M | 739 K | 381 K | 1.2 M | 1.2 M | 887.1 K | 887.1 K | 888.2 K | 888.2 K | 1 M | 1.1 M | 1.1 M | 959.5 K | 700.4 K |
Integral Ad Science, Stagwell, and Axalta Coating Systems 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
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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