Hyperfine Net Debt To E B I T D A from 2010 to 2024

HYPR Stock  USD 0.98  0.02  2.00%   
Hyperfine Net Debt To EBITDA yearly trend continues to be relatively stable with very little volatility. Net Debt To EBITDA is likely to grow to 2.23 this year. Net Debt To EBITDA is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). View All Fundamentals
 
Net Debt To EBITDA  
First Reported
2010-12-31
Previous Quarter
1.59363379
Current Value
2.23
Quarterly Volatility
0.54012638
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Hyperfine financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Hyperfine's main balance sheet or income statement drivers, such as Tax Provision of 0.0, Net Interest Income of 3.7 M or Interest Income of 3.7 M, as well as many indicators such as Price To Sales Ratio of 6.88, Dividend Yield of 0.0 or PTB Ratio of 0.99. Hyperfine financial statements analysis is a perfect complement when working with Hyperfine Valuation or Volatility modules.
  
Check out the analysis of Hyperfine Correlation against competitors.
To learn how to invest in Hyperfine Stock, please use our How to Invest in Hyperfine guide.

Latest Hyperfine's Net Debt To E B I T D A Growth Pattern

Below is the plot of the Net Debt To E B I T D A of Hyperfine over the last few years. It is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). Hyperfine's Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Hyperfine's overall financial position and show how it may be relating to other accounts over time.
Net Debt To E B I T D A10 Years Trend
Slightly volatile
   Net Debt To E B I T D A   
       Timeline  

Hyperfine Net Debt To E B I T D A Regression Statistics

Arithmetic Mean1.63
Geometric Mean1.56
Coefficient Of Variation33.20
Mean Deviation0.40
Median1.33
Standard Deviation0.54
Sample Variance0.29
Range1.6052
R-Value0.58
Mean Square Error0.21
R-Squared0.34
Significance0.02
Slope0.07
Total Sum of Squares4.08

Hyperfine Net Debt To E B I T D A History

2024 2.23
2023 1.59
2022 1.61
2021 2.94
2020 2.69

About Hyperfine Financial Statements

Hyperfine shareholders use historical fundamental indicators, such as Net Debt To E B I T D A, to determine how well the company is positioned to perform in the future. Although Hyperfine investors may analyze each financial statement separately, they are all interrelated. The changes in Hyperfine's assets and liabilities, for example, are also reflected in the revenues and expenses on on Hyperfine'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
Net Debt To EBITDA 1.59  2.23 

Pair Trading with Hyperfine

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 Hyperfine 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 Hyperfine will appreciate offsetting losses from the drop in the long position's value.

Moving against Hyperfine Stock

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The ability to find closely correlated positions to Hyperfine could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hyperfine 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 Hyperfine - 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 Hyperfine to buy it.
The correlation of Hyperfine 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 Hyperfine moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hyperfine 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 Hyperfine 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 Hyperfine Stock Analysis

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