White Mountains Net Worth

White Mountains Net Worth Breakdown

  WTM
The net worth of White Mountains Insurance is the difference between its total assets and liabilities. White Mountains' net worth represents the value of the company's equity or ownership interest. In other words, it is the amount of money that would be left over if all of White Mountains' assets were sold and all of its debts were paid off. Net worth is sometimes referred to as shareholder's equity or book value. White Mountains' net worth can be used as a measure of its financial health and stability which can help investors to decide if White Mountains is a good investment. It is also essential in determining the company's creditworthiness and ability to secure financing before investing in White Mountains Insurance stock.

White Mountains Net Worth Analysis

White Mountains' net worth analysis, or its valuation, is the process of determining the total value of the company. This involves assessing a range of factors, including White Mountains' financial performance, assets, liabilities, and potential for growth. The ultimate goal is to provide a clear understanding of White Mountains' overall worth, which can help investors make informed investment decisions. There are several methods that can be used to perform White Mountains' net worth analysis. One common approach is to calculate White Mountains' market capitalization.Another approach is to use the price-to-earnings ratio (P/E ratio), which compares White Mountains' stock price to its earnings per share (EPS). Discounted cash flow (DCF) analysis is another popular method for assessing White Mountains' net worth. This approach calculates the present value of White Mountains' future cash flows, taking into account factors such as growth rate, profitability, and risk. By comparing the present value of White Mountains' cash flows to its current stock price, investors can gain a better understanding of the company's overall value. Finally, investors may use comparable company analysis to evaluate White Mountains' net worth. This involves comparing White Mountains' financial metrics to similar companies in the same industry. By identifying companies with similar financial characteristics, investors can gain insight into White Mountains' net worth relative to its peers.

Enterprise Value

3.35 Billion

To determine if White Mountains is a good investment, evaluating the company's potential for future growth is also very important. This may include expanding into new markets, launching new products or services, or improving operational efficiency. Companies with strong growth prospects can be more attractive investments. This aspect of the research should be conducted in the context of the overall market and industry in which the company operates and should include an analysis of growth potential, competitive landscape, and any regulatory or economic factors that could impact the business. Some of the essential points regarding White Mountains' net worth research are outlined below:
White Mountains generated a negative expected return over the last 90 days
White Mountains Insurance has about 623 M in cash with (30.1 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 217.18.
White Mountains has a frail financial position based on the latest SEC disclosures
Over 91.0% of the company outstanding shares are owned by institutional investors
Latest headline from news.google.com: 23,345 Shares in White Mountains Insurance Group, Ltd. Acquired by Proficio Capital Partners LLC - MarketBeat
White Mountains uses earnings reports to provide investors with an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Therefore, it is also crucial when considering investing in White Mountains Insurance. Every quarterly earnings report provides investors with an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to White Mountains' previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.
6th of February 2024
Upcoming Quarterly Report
View
31st of December 2023
Next Fiscal Quarter End
View

Know White Mountains' Top Institutional Investors

Have you ever been surprised when a price of an equity instrument such as White Mountains is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading White Mountains Insurance backward and forwards among themselves. White Mountains' institutional investor refers to the entity that pools money to purchase White Mountains' securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
Shares
Wellington Management Company Llp2024-12-31
49.9 K
Fiduciary Management, Inc. Of Milwaukee2024-12-31
49.1 K
Neuberger Berman Group Llc2024-12-31
45.4 K
Bank Of America Corp2024-12-31
41.5 K
Geode Capital Management, Llc2024-12-31
39.7 K
Reinhart Mahoney Capital Management Inc2024-12-31
38.3 K
Cooke & Bieler Lp2024-12-31
34.1 K
Lord, Abbett & Co Llc2024-12-31
33.1 K
Norges Bank2024-12-31
30.7 K
Vanguard Group Inc2024-12-31
251.7 K
Morgan Stanley - Brokerage Accounts2024-12-31
177.7 K
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.

Follow White Mountains' market capitalization trends

The company currently falls under 'Mid-Cap' category with a total capitalization of 4.8 B.

Market Cap

2.42 Billion

Project White Mountains' profitablity

Last ReportedProjected for Next Year
Return On Tangible Assets 0.01  0.01 
Return On Capital Employed 0.01  0.01 
Return On Assets 0.01  0.01 
Return On Equity 0.04  0.04 
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.
When accessing White Mountains' net worth, it's important to look at multiple sources and consider different scenarios. For example, gross profit margin measures White Mountains' profitability after accounting for the cost of goods sold, while net profit margin measures profitability after accounting for all expenses. Other important metrics include return on assets, return on equity, and free cash flow. By reviewing multiple sources and metrics, you can gain a complete picture of White Mountains' profitability and make more informed investment decisions.

Evaluate White Mountains' management efficiency

White Mountains Insurance has Return on Asset of 0.0378 % which means that on every $100 spent on assets, it made $0.0378 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.0586 %, implying that it generated $0.0586 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. As of the 24th of March 2025, Return On Tangible Assets is likely to drop to 0.01. In addition to that, Return On Capital Employed is likely to drop to 0.01. At this time, White Mountains' Total Assets are very stable compared to the past year. As of the 24th of March 2025, Intangibles To Total Assets is likely to grow to 0.05, while Non Currrent Assets Other are likely to drop (2.1 B).
Last ReportedProjected for Next Year
Book Value Per ShareK2.1 K
Tangible Book Value Per Share1.9 KK
Enterprise Value Over EBITDA 146.27  153.58 
Price Book Value Ratio 3.43  3.60 
Enterprise Value Multiple 146.27  153.58 
Price Fair Value 3.43  3.60 
Enterprise Value3.9 B3.4 B
Understanding the operational decisions made by White Mountains management offers insights into its financial robustness. This evaluation is crucial for assessing the stock's investment potential.
Enterprise Value Revenue
2.1703
Revenue
2.4 B
Quarterly Revenue Growth
(0.51)
Revenue Per Share
929.745
Return On Equity
0.0586
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific White Mountains insiders, such as employees or executives, is commonly permitted as long as it does not rely on White Mountains' material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases White Mountains insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
 
Michaela Hildreth over two weeks ago
Disposition of tradable shares by Michaela Hildreth of White Mountains subject to Rule 16b-3
 
Michaela Hildreth over three weeks ago
Acquisition by Michaela Hildreth of 625 shares of White Mountains subject to Rule 16b-3
 
George Rountree over a month ago
Acquisition by George Rountree of 2000 shares of White Mountains subject to Rule 16b-3
 
Michaela Hildreth over two months ago
Disposition of 323 shares by Michaela Hildreth of White Mountains at 1945.06 subject to Rule 16b-3
 
Michaela Hildreth over three months ago
Disposition of tradable shares by Michaela Hildreth of White Mountains subject to Rule 16b-3
 
Michaela Hildreth over three months ago
Disposition of tradable shares by Michaela Hildreth of White Mountains subject to Rule 16b-3
 
Morgan Davis over three months ago
Disposition of 150 shares by Morgan Davis of White Mountains subject to Rule 16b-3
 
Yi Steven over six months ago
Acquisition by Yi Steven of 165 shares of White Mountains subject to Rule 16b-3
 
Reid Campbell over six months ago
Disposition of 930 shares by Reid Campbell of White Mountains at 1000.66 subject to Rule 16b-3
 
Robert Seelig over six months ago
Disposition of 9 shares by Robert Seelig of White Mountains at 1505.01 subject to Rule 16b-3
 
George Rountree over six months ago
Disposition of 1068 shares by George Rountree of White Mountains at 1414.33 subject to Rule 16b-3
 
Harrison Giles E over six months ago
Disposition of tradable shares by Harrison Giles E of White Mountains subject to Rule 16b-3

White Mountains Corporate Filings

10K
28th of February 2025
Annual report required by the U.S. Securities and Exchange Commission (SEC) of a company financial performance
ViewVerify
12th of February 2025
Other Reports
ViewVerify
8K
7th of February 2025
Report filed with the SEC to announce major events that shareholders should know about
ViewVerify
F4
3rd of January 2025
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
White Mountains time-series forecasting models is one of many White Mountains' stock analysis techniques aimed to predict 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 Earnings Estimation Breakdown

The calculation of White Mountains' earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of White Mountains is estimated to be 22.5 with the future projection ranging from a low of 22.5 to a high of 22.5. Please be aware that this consensus of annual earnings estimates for White Mountains Insurance is based on EPS before non-recurring items and includes expenses related to employee stock options.
Last Reported EPS
-50.15
22.50
Lowest
Expected EPS
22.5
22.50
Highest

White Mountains Earnings Projection Consensus

Suppose the current estimates of White Mountains' value are higher than the current market price of the White Mountains stock. In this case, investors may conclude that White Mountains is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and White Mountains' stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyLast Reported EPSEstimated EPS for 31st of December 2025Current EPS (TTM)
251.12%
-50.1529
22.5
89.88

White Mountains Earnings per Share Projection vs Actual

Actual Earning per Share of White Mountains refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering White Mountains Insurance predict the company's earnings will be in the future. The higher the earnings per share of White Mountains, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

White Mountains Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as White Mountains, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of White Mountains should always be considered in relation to other companies to make a more educated investment decision.

White Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact White Mountains' stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2024-11-04
2024-09-309969.68-29.3229 
2024-08-07
2024-06-30-26-21.244.7618 
2024-05-09
2024-03-3110592.33-12.6712 
2024-02-07
2023-12-31113.13111.87-1.26
2023-11-06
2023-09-30-129.1921.19176 
2023-08-07
2023-06-3057.652.6553 
2023-05-09
2023-03-317669.83-6.17
2023-02-07
2022-12-314015.69-24.3160 
2022-11-07
2022-09-30270306.9336.9313 
2022-08-08
2022-06-30-55-56.8-1.8
2022-05-06
2022-03-31-3.511.114.6417 
2022-02-08
2021-12-310.9510.879.921044 
2021-11-08
2021-09-30-140-120.1819.8214 
2021-08-06
2021-06-304044.564.5611 
2021-05-10
2021-03-31-28-24.33.713 
2021-02-05
2020-12-31113.04157.744.6639 
2020-11-06
2020-09-3011.275.0963.89570 
2020-08-07
2020-06-3026.537.1410.6440 
2020-05-08
2020-03-31-29-40.54-11.5439 
2020-02-05
2019-12-316.8819.1212.24177 
2019-11-06
2019-09-30-0.515.2915.793158 
2019-08-06
2019-06-3026.444.44222 
2019-05-06
2019-03-31989.6480.64896 
2019-02-06
2018-12-311.160.19-0.9783 
2018-11-05
2018-09-302.371.05-1.3255 
2018-08-07
2018-06-300.13-1.5-1.631253 
2018-05-02
2018-03-31-1.07-12.85-11.781100 
2018-02-07
2017-12-31-1.44-2.9-1.46101 
2017-11-08
2017-09-30-1.62-2.2-0.5835 
2017-08-04
2017-06-301.51-4.49-6.0397 
2017-05-02
2017-03-31-0.01-3.94-3.9339300 
2017-02-07
2016-12-311.6910.148.45500 
2016-11-02
2016-09-302.11.9-0.2
2016-08-03
2016-06-301.48-8.93-10.41703 
2016-05-02
2016-03-312.311.21-1.147 
2016-02-05
2015-12-313.549.816.27177 
2015-11-02
2015-09-304.16-4.96-9.12219 
2015-07-27
2015-06-306.5211.04.4868 
2015-05-04
2015-03-316.280.46-5.8292 
2015-02-10
2014-12-317.152.15-5.069 
2014-10-29
2014-09-305.984.98-1.016 
2014-07-29
2014-06-308.120.66-7.4691 
2014-04-28
2014-03-316.598.021.4321 
2014-02-07
2013-12-314.36.762.4657 
2013-10-28
2013-09-303.785.311.5340 
2013-07-30
2013-06-305.519.674.1675 
2013-04-29
2013-03-317.2211.414.1958 
2013-02-05
2012-12-31-1.6611.1212.78769 
2012-10-30
2012-09-304.7611.887.12149 
2012-07-27
2012-06-305.655.14-0.51
2012-04-27
2012-03-314.665.230.5712 
2012-02-03
2011-12-31410.696.69167 
2011-10-28
2011-09-301.91.69-0.2111 
2011-07-29
2011-06-302.68-3.02-5.7212 
2011-04-29
2011-03-31-4.48-3.950.5311 
2011-02-04
2010-12-314.349.775.43125 
2010-10-29
2010-09-303.236.253.0293 
2010-07-30
2010-06-304.250.15-4.196 
2010-04-29
2010-03-31-2.51-10.96-8.45336 
2010-02-03
2009-12-316.048.812.7745 
2009-10-30
2009-09-305.085.490.41
2009-07-31
2009-06-304.34.590.29
2009-05-01
2009-03-311.435.163.73260 
2009-02-06
2008-12-312.2613.3311.07489 
2008-10-31
2008-09-300.981.390.4141 
2008-08-01
2008-06-303.522.77-0.7521 
2008-05-02
2008-03-316.281.89-4.3969 
2008-02-04
2007-12-316.685.29-1.3920 
2007-11-05
2007-09-306.248.522.2836 
2007-08-02
2007-06-306.594.14-2.4537 
2007-05-02
2007-03-317.234.09-3.1443 
2007-02-02
2006-12-317.915.66-2.2528 
2006-11-02
2006-09-308.4315.016.5878 
2006-07-28
2006-06-30-3.974.328.29208 
2006-04-27
2006-03-317.717.710.0
2006-02-02
2005-12-317.727.720.0
2005-11-01
2005-09-30-16.01-6.169.8561 
2005-07-29
2005-06-307.0213.646.6294 
2005-04-29
2005-03-318.4114.015.666 
2005-02-02
2004-12-316.619.162.5538 
2004-12-27
2004-09-30-1.51-6.45-4.94327 
2004-07-28
2004-06-307.145.91-1.2317 
2004-04-30
2004-03-316.34.59-1.7127 
2004-02-03
2003-12-315.85.57-0.23
2003-10-30
2003-09-305.613.26-2.3541 
2003-07-31
2003-06-304.842.66-2.1845 
2003-02-18
2002-12-311.432.781.3594 

White Mountains Corporate Directors

Philip GelstonIndependent DirectorProfile
Peter CarlsonIndependent DirectorProfile
Mary ChoksiIndependent DirectorProfile
Edith HolidayIndependent DirectorProfile

Already Invested in White Mountains Insurance?

The danger of trading White Mountains Insurance is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of White Mountains is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than White Mountains. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile White Mountains Insurance is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
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 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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
89.88
Revenue Per Share
929.745
Quarterly Revenue Growth
(0.51)
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.