Griffon Ebitda Over Time
| GFF Stock | USD 85.16 2.20 2.65% |
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 Griffon Performance and Griffon Correlation. Griffon |
Is Building Products 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 Griffon. If investors know Griffon 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 Griffon listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.653 | Dividend Share 0.6 | Earnings Share 4.23 | Revenue Per Share 55.147 | Quarterly Revenue Growth 0.029 |
The market value of Griffon is measured differently than its book value, which is the value of Griffon that is recorded on the company's balance sheet. Investors also form their own opinion of Griffon's value that differs from its market value or its book value, called intrinsic value, which is Griffon's 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 Griffon's market value can be influenced by many factors that don't directly affect Griffon's 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 Griffon's value and its price as these two are different measures arrived at by different means. Investors typically determine if Griffon is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Griffon's 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 Ebitda Analysis
Compare Griffon and related stocks such as Steel Partners Holdings, Brookfield Business, and Tejon Ranch Ebitda Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SPLP | (63.2 M) | 85.6 M | 88.8 M | 69.5 M | 117.5 M | 167.9 M | 138.4 M | 138.3 M | 174.3 M | 166.5 M | 131 M | 307.7 M | 232.6 M | 221.8 M | 148.1 M |
| BBU | 261 M | 261 M | 261 M | 267 M | 383 M | 471 M | 362 M | 568 M | 2.1 B | 3.8 B | 4.2 B | 1 B | 5.4 B | 6.3 B | 6.6 B |
| TRC | 200 K | 21.8 M | 6.8 M | 4.5 M | 12.6 M | (3.7 M) | (9.4 M) | (3.5 M) | 4.5 M | 2.4 M | (1.7 M) | 4.3 M | 17.7 M | 1.1 M | 1.1 M |
| CODI | (1000) | 77.2 M | 117.3 M | 133.9 M | 120 M | 113.5 M | 200.5 M | 95.2 M | 143 M | 141.7 M | 145.7 M | 249.7 M | 253.8 M | 236.1 M | 131.4 M |
| MATW | 28.1 M | 122.4 M | 133.7 M | 125.8 M | 172.7 M | 184.3 M | 180.6 M | 164.4 M | 256.2 M | 46.1 M | 169.7 M | 24.4 M | 195.2 M | (12.3 M) | (11.7 M) |
| MDU | 409.1 M | 754.5 M | 782.2 M | 886.4 M | 899.6 M | 501.2 M | 630.4 M | 640.3 M | 621.8 M | 753 M | 856.1 M | 859.3 M | 590.7 M | 867.7 M | 584 M |
| VMI | 8.8 M | 272.6 M | 390.9 M | 481.9 M | 321 M | 270.7 M | 347.3 M | 358.1 M | 276.6 M | 326.1 M | 355.9 M | 421.8 M | 540.5 M | 570.6 M | 599.1 M |
Griffon and related stocks such as Steel Partners Holdings, Brookfield Business, and Tejon Ranch Ebitda description
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Check out Griffon Performance and Griffon Correlation. For more detail on how to invest in Griffon Stock please use our How to Invest in Griffon guide.You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Griffon 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.