Bitfarms Price To Sales Ratio Over Time
BITF Stock | USD 2.14 0.15 7.54% |
With this module, investors 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 portfolio assets.
Check out Bitfarms Performance and Bitfarms Correlation. Bitfarms |
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bitfarms. If investors know Bitfarms will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bitfarms listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.38) | Revenue Per Share 0.493 | Quarterly Revenue Growth 0.296 | Return On Assets (0.13) | Return On Equity (0.31) |
The market value of Bitfarms is measured differently than its book value, which is the value of Bitfarms that is recorded on the company's balance sheet. Investors also form their own opinion of Bitfarms' value that differs from its market value or its book value, called intrinsic value, which is Bitfarms' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bitfarms' market value can be influenced by many factors that don't directly affect Bitfarms' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bitfarms' value and its price as these two are different measures arrived at by different means. Investors typically determine if Bitfarms is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bitfarms' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Cross Equities Price To Sales Ratio Analysis
Compare Bitfarms and related stocks such as Visa Class A, Deutsche Bank AG, and Dynex Capital Price To Sales Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V | 22.1227 | 10.6269 | 10.5923 | 10.5392 | 12.2803 | 13.0998 | 13.2542 | 16.3718 | 16.3767 | 19.5758 | 19.6699 | 12.634 | 14.4188 | 12.4059 | 10.25 |
DB | 1.5953 | 0.8158 | 0.9492 | 1.0946 | 0.9908 | 1.0509 | 0.8103 | 1.1877 | 0.599 | 0.6363 | 0.7898 | 0.9131 | 0.8283 | 0.8835 | 1.21 |
DX | 3.2863 | 5.7887 | 5.7758 | 5.372 | 10.6037 | 10.0074 | 5.8947 | 7.0914 | 13.9607 | (2.9281) | 2.0599 | 4.2873 | 3.0536 | 5.175 | 3.78 |
Bitfarms and related stocks such as Visa Class A, Deutsche Bank AG, and Dynex Capital Price To Sales Ratio description
Price to Sales Ratio is figured by comparing Bitfarms stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Bitfarms sales, a figure that is much harder to manipulate than other Bitfarms multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.My Equities
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Check out Bitfarms Performance and Bitfarms Correlation. For more detail on how to invest in Bitfarms Stock please use our How to Invest in Bitfarms guide.You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Bitfarms technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.