White Price To Sales Ratio from 2010 to 2024

WTM Stock  USD 1,971  26.33  1.35%   
White Mountains Price To Sales Ratio yearly trend continues to be very stable with very little volatility. Price To Sales Ratio is likely to grow to 1.82 this year. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing White Mountains' market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
1.75548612
Current Value
1.82
Quarterly Volatility
2.44694351
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 1.7 B, Gross Profit of 1.7 B or Other Operating Expenses of 2 B, as well as many indicators such as Price To Sales Ratio of 1.82, Dividend Yield of 6.0E-4 or PTB Ratio of 1.28. White financial statements analysis is a perfect complement when working with White Mountains Valuation or Volatility modules.
  
Check out the analysis of White Mountains Correlation against competitors.

Latest White Mountains' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of White Mountains Insurance over the last few years. Price to Sales Ratio is figured by comparing White Mountains Insurance stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on White Mountains sales, a figure that is much harder to manipulate than other White Mountains Insurance multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. White Mountains' Price To Sales Ratio 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.
ViewLast Reported 1.83 X10 Years Trend
Pretty Stable
   Price To Sales Ratio   
       Timeline  

White Price To Sales Ratio Regression Statistics

Arithmetic Mean3.16
Geometric Mean2.53
Coefficient Of Variation77.40
Mean Deviation1.63
Median2.61
Standard Deviation2.45
Sample Variance5.99
Range9.0449
R-Value0.20
Mean Square Error6.18
R-Squared0.04
Significance0.47
Slope0.11
Total Sum of Squares83.83

White Price To Sales Ratio History

2024 1.82
2023 1.76
2022 3.45
2021 3.27
2020 2.61
2019 3.92
2018 7.77

About White Mountains Financial Statements

White Mountains investors utilize fundamental indicators, such as Price To Sales Ratio, 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 ReportedProjected for Next Year
Price To Sales Ratio 1.76  1.82 

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
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 the analysis of White Mountains Correlation against competitors.
You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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
252.53
Revenue Per Share
1.1 K
Quarterly Revenue Growth
0.835
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.