Compare Capital Expenditure Coverage 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 Capital Expenditure Coverage Ratio Analysis
Compare Desktop Metal, Nano Dimension, and Markforged Holding Corp Capital Expenditure Coverage Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DM | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (0.0034) | (1.2947) | (56.3856) | (5.3645) | (15.762) | (41.6347) | (43.72) |
NNDM | (0.8889) | (0.8889) | (0.8889) | (3.8667) | (3.0663) | (1.4196) | (1.2996) | (4.4973) | (10.1948) | (21.1048) | (7.0979) | (0.1) | (9.8055) | (9.8916) | (10.39) |
MKFG | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (6.4291) | (10.0922) | (12.0649) | (6.4407) | (13.6174) | (14.3) |
SSYS | (0.5714) | 1.3113 | 0.0991 | 0.8442 | 0.2173 | (0.2517) | 1.315 | 2.5959 | 2.568 | (0.4424) | 0.9583 | 1.3392 | (3.8176) | (4.1023) | (3.9) |
IONQ | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (3.1931) | (1.0283) | (2.6473) | (3.5576) | (4.0315) | (4.23) |
QBTS | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (37.1191) | (17.4087) | (90.8153) | (96.2683) | (101) |
HPQ | 0.5788 | 2.8524 | 3.6286 | 3.2009 | 1.8013 | 7.4596 | 9.1468 | 8.293 | 6.9359 | 7.4414 | 11.012 | 5.6422 | 5.8637 | 5.28 | 2.94 |
CAN | 7.206 | 7.206 | 7.206 | 7.206 | 7.206 | 7.206 | 7.206 | 7.206 | (0.5116) | (33.4198) | 19.438 | 35.834 | (10.2903) | (37.3249) | (35.46) |
NTAP | 2.8511 | 7.2339 | 7.2339 | 7.2339 | 7.2339 | 8.5484 | 8.5484 | 8.5484 | 8.5484 | 8.5484 | 10.871 | 10.871 | 10.871 | 10.871 | 8.2284 |
ANET | 4.4874 | 4.4874 | 7.9426 | 1.7055 | 8.719 | 10.0322 | 6.1366 | 41.3396 | 21.1128 | 61.1411 | 47.7843 | 15.6923 | 11.0387 | 59.0699 | 62.02 |
Desktop Metal, Nano Dimension, and Markforged Holding Corp Capital Expenditure Coverage Ratio description
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |