White Operating Cycle from 2010 to 2026
| WTM Stock | USD 2,050 0.00 0.00% |
Operating Cycle | First Reported 2010-12-31 | Previous Quarter 255.2 | Current Value 162.46 | Quarterly Volatility 135.44154221 |
Check White Mountains financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among White Mountains' main balance sheet or income statement drivers, such as Total Revenue of 1.6 B, Gross Profit of 1.3 B or Other Operating Expenses of 1.8 B, as well as many indicators such as Price To Sales Ratio of 2.53, Dividend Yield of 6.0E-4 or PTB Ratio of 1.23. White financial statements analysis is a perfect complement when working with White Mountains Valuation or Volatility modules.
White | Operating Cycle | Build AI portfolio with White Stock |
Evaluating White Mountains's Operating Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into White Mountains Insurance's fundamental strength.
Latest White Mountains' Operating Cycle Growth Pattern
Below is the plot of the Operating Cycle of White Mountains Insurance over the last few years. It is White Mountains' Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in White Mountains' overall financial position and show how it may be relating to other accounts over time.
| Operating Cycle | 10 Years Trend |
|
Operating Cycle |
| Timeline |
White Operating Cycle Regression Statistics
| Arithmetic Mean | 149.71 | |
| Geometric Mean | 87.50 | |
| Coefficient Of Variation | 90.47 | |
| Mean Deviation | 101.22 | |
| Median | 117.12 | |
| Standard Deviation | 135.44 | |
| Sample Variance | 18,344 | |
| Range | 517 | |
| R-Value | 0.53 | |
| Mean Square Error | 14,037 | |
| R-Squared | 0.28 | |
| Significance | 0.03 | |
| Slope | 14.26 | |
| Total Sum of Squares | 293,511 |
White Operating Cycle History
About White Mountains Financial Statements
White Mountains investors utilize fundamental indicators, such as Operating Cycle, to predict how White Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Operating Cycle | 255.20 | 162.46 |
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Will Property & Casualty Insurance sector continue expanding? Could White diversify its offerings? Factors like these will boost the valuation of White Mountains. Anticipated expansion of White directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every White Mountains data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.37) | Dividend Share 1 | Earnings Share 54.19 | Revenue Per Share | Quarterly Revenue Growth (0.09) |
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.