Wearable Short Long Term Debt Total from 2010 to 2024

WLDSW Stock  USD 0.14  0.02  12.50%   
Wearable Devices Short and Long Term Debt Total yearly trend continues to be fairly stable with very little volatility. Short and Long Term Debt Total will likely drop to about 546.2 K in 2024. During the period from 2010 to 2024, Wearable Devices Short and Long Term Debt Total regression line of quarterly data had mean square error of 691.6 B and geometric mean of  1,625,459. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2010-12-31
Previous Quarter
575 K
Current Value
546.2 K
Quarterly Volatility
1.2 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Wearable Devices financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Wearable Devices' main balance sheet or income statement drivers, such as Net Interest Income of 390.6 K, Depreciation And Amortization of 71.4 K or Interest Expense of 61.6 K, as well as many indicators such as Price To Sales Ratio of 1.4 K, Dividend Yield of 0.0 or PTB Ratio of 36.34. Wearable financial statements analysis is a perfect complement when working with Wearable Devices Valuation or Volatility modules.
  
Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.

Latest Wearable Devices' Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Wearable Devices over the last few years. It is Wearable Devices' Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Wearable Devices' overall financial position and show how it may be relating to other accounts over time.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Wearable Short Long Term Debt Total Regression Statistics

Arithmetic Mean2,296,483
Geometric Mean1,625,459
Coefficient Of Variation52.81
Mean Deviation1,032,091
Median2,995,000
Standard Deviation1,212,698
Sample Variance1.5T
Range2.9M
R-Value(0.75)
Mean Square Error691.6B
R-Squared0.56
Significance0
Slope(203,526)
Total Sum of Squares20.6T

Wearable Short Long Term Debt Total History

2024546.2 K
2023575 K
2021162 K
20203.1 M

About Wearable Devices Financial Statements

Wearable Devices investors use historical fundamental indicators, such as Wearable Devices' Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Wearable Devices. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Short and Long Term Debt Total575 K546.2 K

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Wearable Stock Analysis

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