White Mountains Insurance Stock Analysis

White Stock Analysis Notes

About 91.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 1.08. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. White Mountains Insurance recorded earning per share (EPS) of 89.73. The entity last dividend was issued on the 17th of March 2025. The firm had 1:20 split on the September 26, 2012. White Mountains Insurance Group, Ltd., through its subsidiaries, provides insurance and other financial services in the United States. White Mountains Insurance Group, Ltd. was incorporated in 1980 and is headquartered in Hamilton, Bermuda. White Mountains operates under InsuranceProperty Casualty classification in the United States and is traded on New York Stock Exchange. It employs 1648 people. For more information please call Timothy Miller at 441 278 3160 or visit https://www.whitemountains.com.

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White Market Capitalization

The company currently falls under 'Mid-Cap' category with a total capitalization of 4.85 B.

White Profitablity

The company has Net Profit Margin of 0.1 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of (0.26) %, which entails that for every $100 of revenue, it lost $0.26.

Technical Drivers

As of the 26th of March, White Mountains maintains the Standard Deviation of 1.28, market risk adjusted performance of (0.06), and Mean Deviation of 0.9904. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of White Mountains Insurance, as well as the relationship between them. Please check out White Mountains Insurance variance and skewness to decide if White Mountains Insurance is priced fairly, providing market reflects its latest price of 1899.99 per share. Given that White Mountains Insurance has information ratio of (0.03), we strongly advise you to confirm White Mountains Insurance's prevalent market performance to make sure the company can sustain itself at a future point.

White Mountains Insurance Price Movement Analysis

White Mountains Insurance Insider Trading Activities

White Mountains Outstanding Bonds

White Mountains Predictive Daily Indicators

White Mountains Forecast Models

White Mountains' time-series forecasting models are one of many White Mountains' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary White Mountains' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how White Mountains prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling White shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as White Mountains. By using and applying White Stock analysis, traders can create a robust methodology for identifying White entry and exit points for their positions.

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Mountains Insurance. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the Stocks Directory module to find actively traded stocks across global markets.

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.

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.