Kimco Realty Price To Sales Ratio Over Time
KIM-PN Stock | 62.00 0.56 0.90% |
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.
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Cross Equities Price To Sales Ratio Analysis
Compare Kimco Realty and related stocks such as Agree Realty, Cedar Realty Trust, and Cedar Realty Trust Price To Sales Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
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KIM-PN | 5.848 | 7.2052 | 8.5046 | 8.5042 | 10.3476 | 9.3279 | 8.9913 | 6.4027 | 5.2907 | 7.5123 | 6.1004 | 9.1449 | 7.5459 | 7.372 | 6.61 |
Kimco Realty and related stocks such as Agree Realty, Cedar Realty Trust, and Cedar Realty Trust Price To Sales Ratio description
Price to Sales Ratio is figured by comparing Kimco Realty stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Kimco Realty sales, a figure that is much harder to manipulate than other Kimco Realty 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
Kimco Realty | KIM-PN |
Specialization | Real Estate, REIT - Retail |
Location | New York; U.S.A |
Exchange | New York Stock Exchange |
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Check out Kimco Realty Performance and Kimco Realty Correlation. To learn how to invest in Kimco Stock, please use our How to Invest in Kimco Realty guide.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.
Kimco Realty 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.