Compare Quick 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 Quick Ratio Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OTLY | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.6857 | 0.8793 | 2.9229 | 1.0757 | 0.7119 | 1.01 |
ZEUS | 1.2196 | 1.0252 | 0.9584 | 0.7925 | 1.1184 | 1.3275 | 1.0526 | 1.303 | 1.5108 | 1.4474 | 1.28 | 1.3568 | 1.4643 | 1.2019 | 0.83 |
HMY | 1.2047 | 1.8721 | 1.4142 | 1.569 | 1.1168 | 1.1232 | 0.9863 | 0.6692 | 0.7424 | 1.0245 | 1.0436 | 0.9399 | 0.7883 | 0.7657 | 1.23 |
GMS | 1.7869 | 1.7869 | 1.7869 | 1.7869 | 1.3511 | 1.4368 | 1.6862 | 1.6869 | 1.4264 | 1.4751 | 1.3248 | 1.2655 | 1.3791 | 1.3982 | 1.62 |
FSI | 1.674 | 1.325 | 1.05 | 1.3486 | 1.5143 | 3.0086 | 2.4363 | 3.4337 | 2.0445 | 1.2253 | 1.3515 | 1.4565 | 1.6089 | 1.899 | 1.8 |
FIZZ | 1.6931 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 1.9937 | 3.279 | 3.279 | 3.279 | 1.1781 |
SCL | 1.0595 | 1.5803 | 1.4608 | 1.6215 | 1.5724 | 1.8465 | 1.722 | 1.9234 | 1.7791 | 1.814 | 1.6489 | 1.2145 | 0.9577 | 0.9646 | 1.01 |
Oatly Group AB, Olympic Steel, and Harmony Gold Mining Quick Ratio description
A measure of a company's ability to meet its short-term obligations with its most liquid assets. It is calculated as (current assets - inventories) divided by current liabilities.Investing Ideas
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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