Datasea Debt To Equity from 2010 to 2024

DTSS Stock  USD 2.49  0.03  1.19%   
Datasea Debt To Equity yearly trend continues to be comparatively stable with very little volatility. Debt To Equity is likely to outpace its year average in 2024. Debt To Equity is a measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets. View All Fundamentals
 
Debt To Equity  
First Reported
2010-12-31
Previous Quarter
(4.94)
Current Value
(4.70)
Quarterly Volatility
82.58249894
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Datasea financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Datasea's main balance sheet or income statement drivers, such as Discontinued Operations of 0.0, Depreciation And Amortization of 519.2 K or Interest Expense of 61 K, as well as many indicators such as Price To Sales Ratio of 0.51, Dividend Yield of 0.0 or Days Sales Outstanding of 10.39. Datasea financial statements analysis is a perfect complement when working with Datasea Valuation or Volatility modules.
  
Check out the analysis of Datasea Correlation against competitors.
For more information on how to buy Datasea Stock please use our How to Invest in Datasea guide.

Latest Datasea's Debt To Equity Growth Pattern

Below is the plot of the Debt To Equity of Datasea over the last few years. It is a measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets. Datasea's Debt To Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Datasea's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.36 %10 Years Trend
Very volatile
   Debt To Equity   
       Timeline  

Datasea Debt To Equity Regression Statistics

Arithmetic Mean17.86
Geometric Mean1.43
Coefficient Of Variation462.27
Mean Deviation39.75
Median(0.57)
Standard Deviation82.58
Sample Variance6,820
Range325
R-Value(0.09)
Mean Square Error7,284
R-Squared0.01
Significance0.75
Slope(1.68)
Total Sum of Squares95,478

Datasea Debt To Equity History

2024 -4.7
2023 -4.94
2022 -0.57
2021 0.0334
2020 4.65
2019 0.0893
2018 0.015

About Datasea Financial Statements

Datasea shareholders use historical fundamental indicators, such as Debt To Equity, to determine how well the company is positioned to perform in the future. Although Datasea investors may analyze each financial statement separately, they are all interrelated. The changes in Datasea's assets and liabilities, for example, are also reflected in the revenues and expenses on on Datasea'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
Debt To Equity(4.94)(4.70)

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for Datasea Stock Analysis

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