White Mountains Insurance Stock Analysis

White Stock Analysis Notes

About 95.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 1.07. 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 54.29. 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.

White Mountains Insurance Investment Alerts

White Largest EPS Surprises

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White Mountains Environmental, Social, and Governance (ESG) Scores

White Stock Institutional Investors

Note, although White Mountains' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

White Market Capitalization

The company currently falls under 'Mid-Cap' category with a total capitalization of 5.31 B.

White Profitablity

The company has Net Profit Margin of 0.06 %, 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 0.27 %, which entails that for every 100 dollars of revenue, it generated $0.27 of operating income.

Management Efficiency

White Mountains Insurance has Return on Asset of 0.0257 % which means that on every $100 spent on assets, it made $0.0257 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.048 %, implying that it generated $0.048 on every 100 dollars invested. White Mountains' management efficiency ratios could be used to measure how well White Mountains manages its routine affairs as well as how well it operates its assets and liabilities. At this time, White Mountains' Return On Tangible Assets are very stable compared to the past year. As of the 5th of February 2026, Return On Capital Employed is likely to grow to 0.05, while Return On Equity is likely to drop 0.06. At this time, White Mountains' Total Current Assets are very stable compared to the past year. As of the 5th of February 2026, Return On Tangible Assets is likely to grow to 0.04, while Other Assets are likely to drop about 5.3 B.

Technical Drivers

As of the 5th of February, White Mountains maintains the Mean Deviation of 0.7109, market risk adjusted performance of 0.2626, and Downside Deviation of 0.7514. 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 coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if White Mountains Insurance is priced fairly, providing market reflects its latest price of 2126.57 per share. Given that White Mountains Insurance has jensen alpha of 0.1034, 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 Corporate Filings

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.

White Mountains Bond Ratings

White Mountains Insurance financial ratings play a critical role in determining how much White Mountains have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for White Mountains' borrowing costs.

White Mountains Insurance Debt to Cash Allocation

White Mountains Insurance has 562.5 M in debt with debt to equity (D/E) ratio of 0.19, which may show that the company is not taking advantage of profits from borrowing. White Mountains Insurance has a current ratio of 1.91, which is typical for the industry and considered as normal. Note however, debt could still be an excellent tool for White to invest in growth at high rates of return.

White Mountains Total Assets Over Time

White Mountains Assets Financed by Debt

The debt-to-assets ratio shows the degree to which White Mountains uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

White Mountains Debt Ratio

6.19

It appears that most of the White Mountains' assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the White Mountains' operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of White Mountains, which in turn will lower the firm's financial flexibility.

White Mountains Corporate Bonds Issued

White Short Long Term Debt Total

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.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. White analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. White analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

White Mountains Insurance stock analysis indicators help investors evaluate how White Mountains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading White Mountains shares will generate the highest return on investment. By understating and applying White Mountains stock analysis, traders can identify White Mountains position entry and exit signals to maximize returns.

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 poverty. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.

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. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. 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. Meanwhile, White Mountains' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.