Bitfarms Price To Sales Ratio Over Time
| BITF Stock | 1.72 0.13 8.18% |
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 |
Cross Equities Price To Sales Ratio Analysis
Compare Bitfarms and related stocks such as Hut 8 Mining, Bitfarms, and Dmg Blockchain Solutions Price To Sales Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
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Bitfarms and related stocks such as Hut 8 Mining, Bitfarms, and Dmg Blockchain Solutions 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
My Current Equities and Potential Positions
| Bitfarms | BITF |
Specialization | Financial Services, Financial Services |
| Business Address | 110 Yonge Street, |
| Exchange | Toronto Exchange |
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Check out Bitfarms Performance and Bitfarms Correlation. To learn how to invest in Bitfarms Stock, please use our How to Invest in Bitfarms guide.You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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.