White Mountains Insurance Stock Cash And Equivalents
WTM Stock | USD 1,824 45.60 2.56% |
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.
White | Cash And Equivalents |
White Mountains Insurance Company Cash And Equivalents Analysis
White Mountains' Cash or Cash Equivalents are the most liquid of all assets found on the company's balance sheet. It is used in calculating many of the firm's liquidity ratios and is a good indicator of the overall financial health of a company. Companies with a lot of cash are usually attractive takeover targets. Cash Equivalents are balance sheet items that are typically reported using currency printed on notes.
Current White Mountains Cash And Equivalents | 623 M |
Most of White Mountains' fundamental indicators, such as Cash And Equivalents, 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 Cash And Equivalents 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 Cash And Equivalents. 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.
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Cash equivalents represent current assets that are easily convertible to cash such as short term bonds, savings account, money market funds, or certificate of deposits (CDs). One of the important consideration companies make when classifying assets as cash equivalent is that investments they report on their balance sheets under current assets should have almost no risk of change in value over the next few months (usually three months).
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White Cash And Cash Equivalents Changes
Cash And Cash Equivalents Changes |
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In accordance with the recently published financial statements, White Mountains Insurance has 623 M in Cash And Equivalents. This is 98.16% lower than that of the Insurance sector and significantly higher than that of the Financials industry. The cash and equivalents for all United States stocks is 76.94% higher than that of the company.
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White Fundamentals
Return On Equity | 0.14 | |||
Return On Asset | 0.0536 | |||
Profit Margin | 0.23 % | |||
Operating Margin | 0.51 % | |||
Current Valuation | 3.8 B | |||
Shares Outstanding | 2.57 M | |||
Shares Owned By Insiders | 2.97 % | |||
Shares Owned By Institutions | 90.32 % | |||
Number Of Shares Shorted | 36.88 K | |||
Price To Earning | 6.14 X | |||
Price To Book | 1.02 X | |||
Price To Sales | 2.00 X | |||
Revenue | 2.17 B | |||
Gross Profit | 370.9 M | |||
EBITDA | (71.7 M) | |||
Net Income | 502 M | |||
Cash And Equivalents | 623 M | |||
Cash Per Share | 217.18 X | |||
Total Debt | 578.4 M | |||
Debt To Equity | 0.18 % | |||
Current Ratio | 1.95 X | |||
Book Value Per Share | 1,681 X | |||
Cash Flow From Operations | 521 M | |||
Short Ratio | 4.62 X | |||
Earnings Per Share | 198.59 X | |||
Price To Earnings To Growth | 9.93 X | |||
Target Price | 360.0 | |||
Number Of Employees | 782 | |||
Beta | 0.42 | |||
Market Capitalization | 4.56 B | |||
Total Asset | 7.94 B | |||
Retained Earnings | 3.69 B | |||
Working Capital | (1000 M) | |||
Current Asset | 1.23 B | |||
Current Liabilities | 2.23 B | |||
Annual Yield | 0.0006 % | |||
Five Year Return | 0.10 % | |||
Net Asset | 7.94 B | |||
Last Dividend Paid | 1.0 |
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.
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Check out White Mountains Piotroski F Score and White Mountains Altman Z Score analysis. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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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.
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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.