17 Education Capex To Revenue from 2010 to 2024

YQ Stock  USD 1.90  0.10  5.56%   
17 Education Capex To Revenue yearly trend continues to be relatively stable with very little volatility. Capex To Revenue is likely to drop to 0.09. Capex To Revenue is the ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets. View All Fundamentals
 
Capex To Revenue  
First Reported
2010-12-31
Previous Quarter
0.15553164
Current Value
0.0949
Quarterly Volatility
0.03365404
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check 17 Education financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among 17 Education's main balance sheet or income statement drivers, such as Tax Provision of 0.0, Net Interest Income of 17.4 M or Interest Expense of 19.9 M, as well as many indicators such as Price To Sales Ratio of 0.75, Dividend Yield of 0.0 or PTB Ratio of 0.24. 17 Education financial statements analysis is a perfect complement when working with 17 Education Valuation or Volatility modules.
  
Check out the analysis of 17 Education Correlation against competitors.

Latest 17 Education's Capex To Revenue Growth Pattern

Below is the plot of the Capex To Revenue of 17 Education Technology over the last few years. It is the ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets. 17 Education's Capex To Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in 17 Education's overall financial position and show how it may be relating to other accounts over time.
Capex To Revenue10 Years Trend
Slightly volatile
   Capex To Revenue   
       Timeline  

17 Education Capex To Revenue Regression Statistics

Arithmetic Mean0.1
Geometric Mean0.08
Coefficient Of Variation33.95
Mean Deviation0.02
Median0.11
Standard Deviation0.03
Sample Variance0
Range0.1503
R-Value(0.31)
Mean Square Error0
R-Squared0.09
Significance0.27
Slope(0)
Total Sum of Squares0.02

17 Education Capex To Revenue History

2024 0.0949
2023 0.16
2022 0.005203
2021 0.0592
2020 0.0691
2019 0.12

About 17 Education Financial Statements

17 Education shareholders use historical fundamental indicators, such as Capex To Revenue, to determine how well the company is positioned to perform in the future. Although 17 Education investors may analyze each financial statement separately, they are all interrelated. The changes in 17 Education's assets and liabilities, for example, are also reflected in the revenues and expenses on on 17 Education'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
Capex To Revenue 0.16  0.09 

Pair Trading with 17 Education

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 17 Education 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 17 Education will appreciate offsetting losses from the drop in the long position's value.

Moving together with 17 Education Stock

  0.76IH Ihuman IncPairCorr

Moving against 17 Education Stock

  0.57LRN Stride IncPairCorr
  0.4EEIQ Elite Education GroupPairCorr
The ability to find closely correlated positions to 17 Education could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 17 Education 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 17 Education - 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 17 Education Technology to buy it.
The correlation of 17 Education 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 17 Education moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if 17 Education Technology 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 17 Education 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 17 Education Stock Analysis

When running 17 Education's price analysis, check to measure 17 Education'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 17 Education is operating at the current time. Most of 17 Education's value examination focuses on studying past and present price action to predict the probability of 17 Education's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 17 Education's price. Additionally, you may evaluate how the addition of 17 Education to your portfolios can decrease your overall portfolio volatility.