White Mountains Price To Sales Ratio Over Time
| WTM Stock | USD 1,971 26.33 1.35% |
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 White Mountains Performance and White Mountains Correlation. White |
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 White Mountains. If investors know White 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 White Mountains 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 6.582 | Dividend Share 1 | Earnings Share 252.53 | Revenue Per Share 1.1 K | Quarterly Revenue Growth 0.835 |
The market value of White Mountains Insurance is measured differently than its book value, which is the value of White that is recorded on the company's balance sheet. Investors also form their own opinion of White Mountains' value that differs from its market value or its book value, called intrinsic value, which is White Mountains' 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 White Mountains' market value can be influenced by many factors that don't directly affect White Mountains' 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 White Mountains' value and its price as these two are different measures arrived at by different means. Investors typically determine if White Mountains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, White Mountains' 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 White Mountains Insurance and related stocks such as NI Holdings, Donegal Group A, and Donegal Group B Price To Sales Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NODK | 1.8208 | 1.8208 | 1.8208 | 1.8208 | 1.8208 | 1.7152 | 2.0431 | 2.021 | 1.6561 | 1.4089 | 1.167 | 1.2505 | 0.8726 | 0.7516 | 0.71 |
| DGICA | 8.4296 | 0.7623 | 0.7044 | 0.7579 | 0.7283 | 0.6124 | 0.6738 | 0.6423 | 0.5019 | 0.511 | 0.4868 | 0.5322 | 983 K | 0.4985 | 0.47 |
| DGICB | 8.4296 | 0.7623 | 0.7044 | 0.7579 | 0.7283 | 0.6124 | 0.6738 | 0.6423 | 0.5019 | 0.511 | 0.4868 | 0.5322 | 983 K | 0.4985 | 0.47 |
| THG | 0.4139 | 0.3965 | 0.3738 | 0.5443 | 0.6178 | 0.6948 | 0.7876 | 0.886 | 1.099 | 1.1178 | 0.9131 | 0.9 | 0.8797 | 0.7232 | 0.6 |
| RLI | 2.4376 | 2.4376 | 2.0807 | 2.966 | 2.7469 | 3.4258 | 3.3984 | 3.3592 | 3.7529 | 4.0125 | 4.7648 | 4.2996 | 3.5074 | 3.16 | 1.65 |
| CB | 2.0639 | 2.922 | 1.712 | 1.8324 | 2.0111 | 2.0037 | 1.9419 | 2.1108 | 1.8306 | 2.0732 | 1.9312 | 2.0763 | 2.1474 | 1.8635 | 2.17 |
| PGR | 0.9377 | 0.7955 | 0.7457 | 0.8998 | 0.8226 | 0.8938 | 0.8818 | 1.2198 | 1.0996 | 1.0837 | 1.3564 | 1.2585 | 1.5287 | 1.5006 | 1.49 |
| SIGI | 0.4934 | 0.5959 | 0.6204 | 0.8078 | 0.7697 | 0.9167 | 1.1063 | 1.4127 | 1.4055 | 1.3732 | 1.3806 | 1.4716 | 1.5174 | 61.4973 | 64.57 |
| HMN | 0.1335 | 0.548 | 0.7774 | 1.2391 | 1.2805 | 1.2458 | 1.5258 | 1.5328 | 1.2876 | 1.2586 | 1.3286 | 1.222 | 1.1252 | 0.9052 | 0.86 |
| GBLI | 1.4006 | 1.5596 | 2.0182 | 1.9877 | 2.1363 | 1.3064 | 1.2329 | 1.498 | 1.0231 | 0.6957 | 0.7002 | 0.5345 | 0.5371 | 0.8274 | 1.44 |
| PRA | 2.7138 | 3.4042 | 3.5809 | 4.0868 | 3.1552 | 3.3377 | 3.4164 | 3.5602 | 2.4786 | 1.9231 | 1.0805 | 1.2695 | 0.8563 | 0.6383 | 0.61 |
| KMPR | 1.3395 | 0.7055 | 0.7051 | 0.9579 | 0.8838 | 0.8212 | 0.8986 | 1.2995 | 1.0362 | 1.0132 | 0.9696 | 0.6522 | 0.5631 | 0.634 | 1.14 |
| CNA | 0.8709 | 0.8052 | 0.7904 | 1.1438 | 1.078 | 1.0436 | 1.1981 | 1.5072 | 1.1828 | 1.1261 | 0.8886 | 1.0086 | 0.9667 | 0.8631 | 0.61 |
| WRB | 0.5207 | 0.6212 | 0.6184 | 1.0168 | 1.0187 | 1.0501 | 1.116 | 1.2042 | 1.2284 | 1.6875 | 1.5516 | 1.6185 | 1.8086 | 1.5932 | 1.67 |
| KNSL | 7.9361 | 7.9361 | 7.9361 | 7.9361 | 6.0427 | 4.7741 | 5.0051 | 5.0576 | 5.2755 | 6.9282 | 9.7126 | 8.438 | 7.2834 | 6.3032 | 5.29 |
White Mountains Insurance and related stocks such as NI Holdings, Donegal Group A, and Donegal Group B Price To Sales Ratio description
Price to Sales Ratio is figured by comparing White Mountains Insurance stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on White Mountains sales, a figure that is much harder to manipulate than other White Mountains Insurance 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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| White Mountains Insurance | WTM |
Specialization | Financial Services, Insurance - Property & Casualty |
| Location | New Hampshire; U.S.A |
| Exchange | New York Stock Exchange |
USD 1971.32
Check out White Mountains Performance and White Mountains Correlation. You can also try the Stocks Directory module to find actively traded stocks across global markets.
White Mountains 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.