Teradyne Graham Number from 2010 to 2026

TER Stock  USD 321.45  16.56  5.43%   
Teradyne Graham Number yearly trend continues to be relatively stable with very little volatility. Graham Number is likely to grow to 39.63 this year. During the period from 2010 to 2026, Teradyne Graham Number destribution of quarterly values had range of 42.6485 from its regression line and mean deviation of  11.25. View All Fundamentals
 
Graham Number  
First Reported
2010-12-31
Previous Quarter
37.74360894
Current Value
39.63
Quarterly Volatility
12.75082464
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Teradyne financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Teradyne's main balance sheet or income statement drivers, such as Depreciation And Amortization of 99.1 M, Total Revenue of 1.7 B or Gross Profit of 2 B, as well as many indicators such as Price To Sales Ratio of 9.97, Dividend Yield of 0.0024 or PTB Ratio of 11.37. Teradyne financial statements analysis is a perfect complement when working with Teradyne Valuation or Volatility modules.
  
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Check out the analysis of Teradyne Correlation against competitors.
To learn how to invest in Teradyne Stock, please use our How to Invest in Teradyne guide.
Evaluating Teradyne's Graham Number 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 Teradyne's fundamental strength.

Latest Teradyne's Graham Number Growth Pattern

Below is the plot of the Graham Number of Teradyne over the last few years. It is Teradyne's Graham Number historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Teradyne's overall financial position and show how it may be relating to other accounts over time.
Graham Number10 Years Trend
Slightly volatile
   Graham Number   
       Timeline  

Teradyne Graham Number Regression Statistics

Arithmetic Mean25.00
Geometric Mean21.27
Coefficient Of Variation51.01
Mean Deviation11.25
Median20.96
Standard Deviation12.75
Sample Variance162.58
Range42.6485
R-Value0.88
Mean Square Error39.91
R-Squared0.77
Slope2.22
Total Sum of Squares2,601

Teradyne Graham Number History

2026 39.63
2025 37.74
2024 36.87
2023 32.73
2022 39.65
2021 46.38
2020 37.6

About Teradyne Financial Statements

Teradyne shareholders use historical fundamental indicators, such as Graham Number, to determine how well the company is positioned to perform in the future. Although Teradyne investors may analyze each financial statement separately, they are all interrelated. The changes in Teradyne's assets and liabilities, for example, are also reflected in the revenues and expenses on on Teradyne's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Graham Number 37.74  39.63 

Pair Trading with Teradyne

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Teradyne position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Teradyne will appreciate offsetting losses from the drop in the long position's value.

Moving together with Teradyne Stock

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Moving against Teradyne Stock

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The ability to find closely correlated positions to Teradyne could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Teradyne when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Teradyne - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Teradyne to buy it.
The correlation of Teradyne is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Teradyne moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Teradyne moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Teradyne can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Teradyne Stock Analysis

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