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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MTD | 0.7925 | 1.2748 | 1.1836 | 1.2471 | 0.9499 | 1.0896 | 1.1485 | 1.0894 | 1.058 | 1.1072 | 0.9036 | 0.7456 | 0.8133 | 0.7149 | 1.17 |
| CRL | 0.8538 | 1.5354 | 1.0404 | 1.0404 | 1.0404 | 1.0404 | 1.3059 | 1.0404 | 1.0404 | 1.0404 | 1.0404 | 1.1643 | 1.0839 | 1.25 | 1.64 |
| LH | 3.5692 | 0.2052 | 1.0348 | 1.4302 | 1.5909 | 1.4528 | 1.243 | 1.1998 | 1.3828 | 1.0339 | 1.5274 | 1.7712 | 1.3495 | 1.0203 | 1.65 |
| IQV | 1.0774 | 1.0774 | 1.0659 | 1.2198 | 1.3452 | 1.4163 | 1.1882 | 1.1377 | 1.0535 | 1.0109 | 1.0818 | 0.879 | 0.8659 | 0.8621 | 1.2 |
| NEOG | 0.8261 | 5.4532 | 7.3442 | 5.51 | 7.0551 | 6.491 | 6.1057 | 7.7488 | 9.504 | 9.1227 | 9.156 | 6.4807 | 3.1079 | 2.5917 | 3.94 |
| MEDP | 0.9894 | 0.9894 | 0.9894 | 0.9894 | 0.9894 | 0.6855 | 0.7885 | 0.6744 | 0.693 | 0.9243 | 1.0762 | 1.2399 | 0.4156 | 0.6419 | 0.89 |
| QGEN | 1.5 | 1.2793 | 2.8617 | 2.3522 | 2.355 | 3.0744 | 2.9213 | 4.5939 | 2.0491 | 1.4711 | 2.2003 | 1.1744 | 2.0892 | 1.6207 | 2.81 |
| TWST | 6.6618 | 6.6618 | 6.6618 | 6.6618 | 6.6618 | 6.6618 | 6.9687 | 4.8359 | 5.0341 | 8.9534 | 8.163 | 6.1456 | 5.3488 | 4.81 | 5.21 |
| WAT | 1.2102 | 2.8714 | 4.1002 | 4.8067 | 4.4604 | 1.7188 | 1.8073 | 1.966 | 2.006 | 0.5501 | 1.2627 | 1.7368 | 1.5327 | 1.5662 | 1.54 |
Mettler Toledo Inter, Charles River Labora, and Syneos Health 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.Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Other Complementary Tools
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |