Snowflake Stock Market Value

SNOW Stock  USD 143.43  2.65  1.81%   
Snowflake's market value is the price at which a share of Snowflake trades on a public exchange. It measures the collective expectations of Snowflake investors about its performance. Snowflake is selling for under 143.43 as of the 17th of April 2025; that is 1.81% down since the beginning of the trading day. The stock's lowest day price was 142.19.
With this module, you can estimate the performance of a buy and hold strategy of Snowflake and determine expected loss or profit from investing in Snowflake over a given investment horizon. Check out Snowflake Correlation, Snowflake Volatility and Snowflake Alpha and Beta module to complement your research on Snowflake.
For more information on how to buy Snowflake Stock please use our How to Invest in Snowflake guide.
Symbol

Is Business Services 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 Snowflake. If investors know Snowflake 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 Snowflake listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Snowflake is measured differently than its book value, which is the value of Snowflake that is recorded on the company's balance sheet. Investors also form their own opinion of Snowflake's value that differs from its market value or its book value, called intrinsic value, which is Snowflake's 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 Snowflake's market value can be influenced by many factors that don't directly affect Snowflake's 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 Snowflake's value and its price as these two are different measures arrived at by different means. Investors typically determine if Snowflake is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Snowflake's 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.

Snowflake 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Snowflake's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Snowflake.
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01/17/2025
No Change 0.00  0.0 
In 3 months and 1 day
04/17/2025
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If you would invest  0.00  in Snowflake on January 17, 2025 and sell it all today you would earn a total of 0.00 from holding Snowflake or generate 0.0% return on investment in Snowflake over 90 days. Snowflake is related to or competes with C3 Ai, Shopify, Workday, Intuit, Zoom Video, Salesforce, and Trade Desk. Snowflake Inc. provides a cloud-based data platform in the United States and internationally More

Snowflake Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Snowflake's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Snowflake upside and downside potential and time the market with a certain degree of confidence.

Snowflake Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Snowflake's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snowflake's standard deviation. In reality, there are many statistical measures that can use Snowflake historical prices to predict the future Snowflake's volatility.
Hype
Prediction
LowEstimatedHigh
139.79143.43147.07
Details
Intrinsic
Valuation
LowRealHigh
133.65137.29157.77
Details
Naive
Forecast
LowNextHigh
139.62143.26146.90
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
131.03149.22167.42
Details

Snowflake Backtested Returns

Snowflake owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0581, which indicates the firm had a -0.0581 % return per unit of risk over the last 3 months. Snowflake exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Snowflake's Coefficient Of Variation of (1,721), variance of 13.22, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The entity has a beta of 1.57, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Snowflake will likely underperform. At this point, Snowflake has a negative expected return of -0.21%. Please make sure to validate Snowflake's treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and period momentum indicator , to decide if Snowflake performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.27  

Poor predictability

Snowflake has poor predictability. Overlapping area represents the amount of predictability between Snowflake time series from 17th of January 2025 to 3rd of March 2025 and 3rd of March 2025 to 17th of April 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Snowflake price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Snowflake price fluctuation can be explain by its past prices.
Correlation Coefficient0.27
Spearman Rank Test0.07
Residual Average0.0
Price Variance120.66

Snowflake lagged returns against current returns

Autocorrelation, which is Snowflake stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Snowflake's stock expected returns. We can calculate the autocorrelation of Snowflake returns to help us make a trade decision. For example, suppose you find that Snowflake has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Snowflake regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Snowflake stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Snowflake stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Snowflake stock over time.
   Current vs Lagged Prices   
       Timeline  

Snowflake Lagged Returns

When evaluating Snowflake's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Snowflake stock have on its future price. Snowflake autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Snowflake autocorrelation shows the relationship between Snowflake stock current value and its past values and can show if there is a momentum factor associated with investing in Snowflake.
   Regressed Prices   
       Timeline  

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Additional Tools for Snowflake Stock Analysis

When running Snowflake's price analysis, check to measure Snowflake's 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 Snowflake is operating at the current time. Most of Snowflake's value examination focuses on studying past and present price action to predict the probability of Snowflake's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snowflake's price. Additionally, you may evaluate how the addition of Snowflake to your portfolios can decrease your overall portfolio volatility.