Compare Days Payables Outstanding 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 Days Payables Outstanding Analysis
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2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KEN | 375 | 375 | 375 | 280 | 48.7082 | 54.5166 | 63.6095 | 45.3114 | 31.6425 | 45.7647 | 107 | 128 | 73.1817 | 45.0631 | 42.81 |
CNP | 45.7579 | 50.4069 | 43.1357 | 43.6985 | 37.9303 | 34.5068 | 47.4017 | 49.402 | 55.8145 | 67.305 | 69.3573 | 84.8474 | 83.3018 | 66.8074 | 41.69 |
ENIC | 105 | 105 | 105 | 105 | 105 | 106 | 78.6416 | 17.0722 | 47.1552 | 107 | 86.6892 | 93.8854 | 118 | 111 | 70.96 |
FSI | 23.8227 | 19.4485 | 22.238 | 9.3677 | 27.6316 | 31.1044 | 35.5688 | 36.0483 | 25.7688 | 12.3401 | 9.4131 | 20.3508 | 9.9768 | 25.8822 | 30.49 |
CDXS | 503 | 90.5402 | 43.5185 | 99.338 | 175 | 188 | 158 | 90.3137 | 88.2132 | 61.1991 | 78.8859 | 49.2222 | 31.1516 | 169 | 159 |
CC | 64.5702 | 64.5702 | 64.5702 | 69.4143 | 72.2516 | 72.4328 | 75.2121 | 88.5922 | 88.9233 | 75.4862 | 76.7043 | 85.4412 | 86.9148 | 87.6742 | 62.9 |
WEC | 115 | 62.6214 | 48.7107 | 41.9332 | 39.3275 | 75.3585 | 65.0639 | 64.451 | 61.8927 | 68.1504 | 73.8689 | 69.0455 | 69.4479 | 61.8438 | 122 |
MOS | 35.8784 | 41.5099 | 38.6104 | 30.8322 | 40.8201 | 50.971 | 34.5075 | 51.5322 | 61.0838 | 64.7603 | 67.5246 | 79.8949 | 55.7954 | 49.7917 | 35.02 |
Kenon Holdings, CenterPoint Energy, and Enel Chile SA Days Payables Outstanding description
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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