White Mountains Insurance Stock Price To Book

WTM Stock  USD 1,778  9.71  0.55%   
White Mountains Insurance fundamentals help investors to digest information that contributes to White Mountains' financial success or failures. It also enables traders to predict the movement of White Stock. The fundamental analysis module provides a way to measure White Mountains' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to White Mountains stock.
As of the 1st of May 2024, Price To Book Ratio is likely to grow to 1.28.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

White Mountains Insurance Company Price To Book Analysis

White Mountains' Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.

P/B

 = 

MV Per Share

BV Per Share

More About Price To Book | All Equity Analysis

Current White Mountains Price To Book

    
  1.02 X  
Most of White Mountains' fundamental indicators, such as Price To Book, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, White Mountains Insurance is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

White Price To Book Driver Correlations

Understanding the fundamental principles of building solid financial models for White Mountains is extremely important. It helps to project a fair market value of White Stock properly, considering its historical fundamentals such as Price To Book. Since White Mountains' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of White Mountains' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of White Mountains' interrelated accounts and indicators.
0.230.580.060.90.760.390.420.0-0.50.430.32-0.31-0.080.730.470.690.480.590.620.07-0.02
0.23-0.030.960.30.1-0.1-0.52-0.160.230.190.630.480.190.36-0.110.38-0.53-0.37-0.320.320.14
0.58-0.03-0.060.570.790.880.050.36-0.170.81-0.38-0.060.130.61-0.090.50.040.130.250.590.06
0.060.96-0.060.080.06-0.12-0.61-0.080.370.20.50.520.310.16-0.30.17-0.69-0.56-0.480.410.2
0.90.30.570.080.580.390.2-0.07-0.450.420.37-0.09-0.260.870.420.830.350.480.510.04-0.02
0.760.10.790.060.580.670.240.38-0.430.72-0.1-0.220.10.550.130.480.180.330.370.450.25
0.39-0.10.88-0.120.390.670.010.27-0.260.86-0.57-0.210.020.44-0.120.32-0.020.120.180.61-0.15
0.42-0.520.05-0.610.20.240.010.15-0.41-0.26-0.05-0.520.120.120.610.160.870.820.9-0.3-0.22
0.0-0.160.36-0.08-0.070.380.270.15-0.020.03-0.190.380.330.16-0.340.17-0.11-0.170.10.330.23
-0.50.23-0.170.37-0.45-0.43-0.26-0.41-0.02-0.140.00.540.62-0.28-0.65-0.27-0.59-0.67-0.460.170.03
0.430.190.810.20.420.720.86-0.260.03-0.14-0.41-0.130.050.39-0.160.26-0.25-0.04-0.040.680.16
0.320.63-0.380.50.37-0.1-0.57-0.05-0.190.0-0.410.25-0.150.310.220.390.060.070.01-0.45-0.02
-0.310.48-0.060.52-0.09-0.22-0.21-0.520.380.54-0.130.250.40.18-0.410.22-0.66-0.64-0.350.340.44
-0.080.190.130.31-0.260.10.020.120.330.620.05-0.150.4-0.08-0.26-0.08-0.3-0.280.10.570.2
0.730.360.610.160.870.550.440.120.16-0.280.390.310.18-0.080.340.990.230.360.450.20.07
0.47-0.11-0.09-0.30.420.13-0.120.61-0.34-0.65-0.160.22-0.41-0.260.340.390.770.820.7-0.270.04
0.690.380.50.170.830.480.320.160.17-0.270.260.390.22-0.080.990.390.260.380.470.120.09
0.48-0.530.04-0.690.350.18-0.020.87-0.11-0.59-0.250.06-0.66-0.30.230.770.260.920.81-0.52-0.28
0.59-0.370.13-0.560.480.330.120.82-0.17-0.67-0.040.07-0.64-0.280.360.820.380.920.84-0.39-0.22
0.62-0.320.25-0.480.510.370.180.90.1-0.46-0.040.01-0.350.10.450.70.470.810.84-0.12-0.1
0.070.320.590.410.040.450.61-0.30.330.170.68-0.450.340.570.2-0.270.12-0.52-0.39-0.120.31
-0.020.140.060.2-0.020.25-0.15-0.220.230.030.16-0.020.440.20.070.040.09-0.28-0.22-0.10.31
Click cells to compare fundamentals

White Price To Book Historical Pattern

Today, most investors in White Mountains Stock are looking for potential investment opportunities by analyzing not only static indicators but also various White Mountains' growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's price to book growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of White Mountains price to book as a starting point in their analysis.
   White Mountains Price To Book   
       Timeline  
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
Competition

White Book Value Per Share

Book Value Per Share

1,761.77

At this time, White Mountains' Book Value Per Share is very stable compared to the past year.
Based on the latest financial disclosure, White Mountains Insurance has a Price To Book of 1.0218 times. This is 77.69% lower than that of the Insurance sector and significantly higher than that of the Financials industry. The price to book for all United States stocks is 89.26% higher than that of the company.

White Price To Book Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses White Mountains' direct or indirect competition against its Price To Book to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of White Mountains could also be used in its relative valuation, which is a method of valuing White Mountains by comparing valuation metrics of similar companies.
White Mountains is currently under evaluation in price to book category among related companies.

White Fundamentals

About White Mountains Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze White Mountains Insurance's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of White Mountains using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of White Mountains Insurance based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

White Mountains Investors Sentiment

The influence of White Mountains' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in White. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to White Mountains' public news can be used to forecast risks associated with an investment in White. The trend in average sentiment can be used to explain how an investor holding White can time the market purely based on public headlines and social activities around White Mountains Insurance. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
White Mountains' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for White Mountains' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average White Mountains' news discussions. The higher the estimated score, the more favorable is the investor's outlook on White Mountains.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards White Mountains in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, White Mountains' short interest history, or implied volatility extrapolated from White Mountains options trading.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether White Mountains Insurance is a strong investment it is important to analyze White Mountains' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact White Mountains' future performance. For an informed investment choice regarding White Stock, refer to the following important reports:
Check out White Mountains Piotroski F Score and White Mountains Altman Z Score analysis.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

Complementary Tools for White Stock analysis

When running White Mountains' price analysis, check to measure White Mountains' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy White Mountains is operating at the current time. Most of White Mountains' value examination focuses on studying past and present price action to predict the probability of White Mountains' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move White Mountains' price. Additionally, you may evaluate how the addition of White Mountains to your portfolios can decrease your overall portfolio volatility.
Stocks Directory
Find actively traded stocks across global markets
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Is White Mountains' industry 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
9.187
Dividend Share
1
Earnings Share
198.59
Revenue Per Share
857.318
Quarterly Revenue Growth
0.684
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.