Compare Pe 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 Pe Ratio Analysis
Select Fundamental
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| QBTS | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (21.3963) | (36.1233) | (4.4215) | (1.4683) | (1.54) |
| RGTI | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (20.5345) | (24.814) | (4.903) | (2.0446) | (1.7307) | (1.82) |
| SMCI | 84.8312 | 21.7784 | 21.3127 | 20.3677 | 13.4931 | 16.5665 | 17.2388 | 25.3325 | 13.3958 | 17.1755 | 16.0973 | 7.2931 | 20.616 | 37.3746 | 25.64 |
| QUBT | 0.9484 | 0.9484 | 0.9484 | (4.3142) | (4.3142) | (4.3142) | (4.3142) | (4.3142) | (1.3488) | (1.5528) | (11.762) | (2.5563) | (0.0412) | (2.2509) | (2.36) |
| IONQ | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (4.8159) | (82.7273) | (30.2403) | (14.062) | (15.9086) | (16.7) |
| ANET | 82.9328 | 82.9328 | 197 | 98.8497 | 33.8794 | 42.3993 | 36.1312 | 40.2233 | 51.9119 | 18.0515 | 34.7938 | 52.4004 | 27.4987 | 34.9041 | 63.51 |
| DM | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (1.3186) | (2.7 K) | (30.0334) | (5.3709) | (0.5783) | (0.7485) | (0.79) |
D Wave Quantum, Rigetti Computing, and Super Micro Computer Pe Ratio description
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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