Compare Book Value Per Share 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 Book Value Per Share Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SLM | 1.0083 | 10.1567 | 10.6402 | 12.8337 | 4.3162 | 4.9259 | 5.4854 | 5.7379 | 6.8328 | 7.7508 | 66.6689 | 73.941 | 6.6823 | 8.1275 | 7.54 |
IX | 268 | 1.2 K | 1.4 K | 1.7 K | 1.8 K | 1.9 K | 2 K | 2.2 K | 2.3 K | 2.4 K | 2.5 K | 2.8 K | 2.9 K | 3.5 K | 3.6 K |
FCFS | 0.2918 | 10.2707 | 12.1893 | 14.2494 | 15.6448 | 15.3309 | 41.4317 | 30.8299 | 29.4371 | 31.3816 | 30.9338 | 44.1276 | 39.8146 | 44.2586 | 46.47 |
MFIN | 6.8485 | 9.8418 | 10.8632 | 12.5167 | 11.0529 | 11.4367 | 11.8594 | 12.005 | 11.9845 | 13.8724 | 12.4588 | 14.4647 | 15.7115 | 18.2926 | 19.21 |
OPRT | 10.1705 | 10.1705 | 10.1705 | 10.1705 | 10.1705 | 10.1705 | 10.1705 | 9.8444 | 15.7414 | 52.2943 | 17.0598 | 21.4177 | 16.682 | 10.9666 | 15.42 |
EZPW | 1.6778 | 17.3538 | 16.9435 | 16.3598 | 12.8208 | 10.9175 | 12.1623 | 13.6754 | 13.4611 | 11.7355 | 12.0594 | 12.2523 | 13.4165 | 14.6459 | 15.38 |
NAVI | 60.6282 | 60.6282 | 60.6282 | 12.8227 | 10.0634 | 10.6693 | 11.754 | 12.651 | 13.6492 | 14.5609 | 12.6788 | 15.3412 | 20.9648 | 22.623 | 20.02 |
ENVA | 1.6773 | 1.2588 | 2.952 | 5.2439 | 4.6662 | 6.2403 | 7.2818 | 8.4028 | 10.2306 | 11.1705 | 28.8063 | 30.0694 | 36.7341 | 40.4324 | 42.45 |
LPRO | (2.0E-4) | (2.0E-4) | (2.0E-4) | (2.0E-4) | (2.0E-4) | (2.0E-4) | (2.0E-4) | (2.0E-4) | 2.9344 | (6.239) | 0.3211 | 1.2582 | 1.6876 | 1.7014 | 1.79 |
SLM Corp, Orix Corp Ads, and FirstCash Book Value Per Share description
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Complementary Tools
Transaction History View history of all your transactions and understand their impact on performance | |
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 | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |