CNA Financial Dividend Payout Ratio Over Time
CNA Stock | USD 50.44 0.17 0.34% |
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 CNA Financial Performance and CNA Financial Correlation. CNA |
Is Property & Casualty Insurance 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 CNA Financial. If investors know CNA 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 CNA Financial 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 0.095 | Dividend Share 1.74 | Earnings Share 4.79 | Revenue Per Share 51.885 | Quarterly Revenue Growth 0.085 |
The market value of CNA Financial is measured differently than its book value, which is the value of CNA that is recorded on the company's balance sheet. Investors also form their own opinion of CNA Financial's value that differs from its market value or its book value, called intrinsic value, which is CNA Financial'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 CNA Financial's market value can be influenced by many factors that don't directly affect CNA Financial'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 CNA Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if CNA Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CNA Financial'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 Dividend Payout Ratio Analysis
Compare CNA Financial and related stocks such as Selective Insurance, Kemper, and Donegal Group B Dividend Payout Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SIGI | 0.303 | 1.3347 | 0.7097 | 0.2576 | 0.2004 | 0.1872 | 0.213 | 0.2195 | 0.2353 | 0.1755 | 0.2212 | 0.1721 | 0.3385 | 0.2273 | 0.4 |
KMPR | 0.3306 | 0.6953 | 0.5503 | 0.2522 | 0.4524 | 0.5799 | 2.9286 | 0.4094 | 0.2967 | 0.1277 | 0.1925 | (0.6689) | (0.2646) | (0.2944) | (0.28) |
DGICB | 0.15 | 26.2127 | 0.5287 | 0.4867 | 0.9338 | 0.54 | 0.4573 | 2.0829 | (0.478) | 0.3413 | 0.3214 | 0.7563 | (10.4659) | 4.9472 | 5.19 |
GBLI | 3.0E-4 | (0.2474) | (0.2474) | (0.2474) | (0.2474) | (0.2474) | (0.2474) | (0.2474) | (0.2474) | 0.2031 | (0.6848) | 0.5066 | (17.4188) | 0.5776 | 0.61 |
HMN | 0.0998 | 0.2694 | 0.2169 | 0.2935 | 0.3766 | 0.4548 | 0.5288 | 0.2722 | 2.5513 | 0.2567 | 0.3722 | 0.3016 | 2.6566 | 1.1978 | 1.26 |
PRA | 0.0027 | 0.0265 | 0.7265 | 0.1559 | 0.3625 | 1.8729 | 0.7864 | 2.9388 | 6.7254 | 92.8327 | (0.22) | 0.0746 | (26.7861) | (0.1393) | (0.13) |
RLI | 1.002 | 1.002 | 1.2873 | 0.7377 | 1.1802 | 0.8694 | 1.0659 | 1.0836 | 1.2948 | 0.4466 | 0.5596 | 0.4844 | 0.6254 | 0.4599 | 0.36 |
CNA Financial and related stocks such as Selective Insurance, Kemper, and Donegal Group B Dividend Payout Ratio description
My Equities
My Current Equities and Potential Positions
CNA Financial | CNA |
Classification | Insurance |
Location | Illinois; U.S.A |
Exchange | New York Stock Exchange |
USD 50.44
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CNA Financial 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.