AppTech Days Of Sales Outstanding from 2010 to 2024

APCXW Stock  USD 0.18  0.03  20.00%   
AppTech Payments Days Of Sales Outstanding yearly trend continues to be fairly stable with very little volatility. Days Of Sales Outstanding will likely drop to 20.64 in 2024. During the period from 2010 to 2024, AppTech Payments Days Of Sales Outstanding regression line of quarterly data had mean square error of  160.18 and geometric mean of  23.87. View All Fundamentals
 
Days Of Sales Outstanding  
First Reported
2010-12-31
Previous Quarter
21.72619048
Current Value
20.64
Quarterly Volatility
13.94962714
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check AppTech Payments financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among AppTech Payments' main balance sheet or income statement drivers, such as Total Revenue of 680.1 K, Gross Profit of 332.9 K or Other Operating Expenses of 20.7 M, as well as many indicators such as Price To Sales Ratio of 76.06, Dividend Yield of 0.0 or PTB Ratio of 13.88. AppTech financial statements analysis is a perfect complement when working with AppTech Payments Valuation or Volatility modules.
  
Check out Trending Equities 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 interest.

Latest AppTech Payments' Days Of Sales Outstanding Growth Pattern

Below is the plot of the Days Of Sales Outstanding of AppTech Payments Corp over the last few years. It is AppTech Payments' Days Of Sales Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in AppTech Payments' overall financial position and show how it may be relating to other accounts over time.
Days Of Sales Outstanding10 Years Trend
Slightly volatile
   Days Of Sales Outstanding   
       Timeline  

AppTech Days Of Sales Outstanding Regression Statistics

Arithmetic Mean28.75
Geometric Mean23.87
Coefficient Of Variation48.52
Mean Deviation11.88
Median33.14
Standard Deviation13.95
Sample Variance194.59
Range38.6003
R-Value0.49
Mean Square Error160.18
R-Squared0.24
Significance0.07
Slope1.51
Total Sum of Squares2,724

AppTech Days Of Sales Outstanding History

2024 20.64
2023 21.73
2022 41.37
2021 41.62
2020 45.01
2019 42.52
2018 29.83

About AppTech Payments Financial Statements

AppTech Payments investors use historical fundamental indicators, such as AppTech Payments' Days Of Sales Outstanding, 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 AppTech Payments. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Days Of Sales Outstanding 21.73  20.64 

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 AppTech Stock Analysis

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