Data Net Receivables from 2010 to 2024

DTST Stock  USD 3.92  0.13  3.43%   
Data Storage Net Receivables yearly trend continues to be comparatively stable with very little volatility. Net Receivables will likely drop to about 752.7 K in 2024. From the period from 2010 to 2024, Data Storage Net Receivables quarterly data regression had r-value of  0.64 and coefficient of variation of  120.18. View All Fundamentals
 
Net Receivables  
First Reported
2007-12-31
Previous Quarter
1.9 M
Current Value
M
Quarterly Volatility
M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Data Storage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data Storage's main balance sheet or income statement drivers, such as Depreciation And Amortization of 760.9 K, Interest Expense of 70.8 K or Total Revenue of 26.2 M, as well as many indicators such as Price To Sales Ratio of 0.83, Dividend Yield of 0.0649 or PTB Ratio of 0.66. Data financial statements analysis is a perfect complement when working with Data Storage Valuation or Volatility modules.
  
Check out the analysis of Data Storage Correlation against competitors.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.

Latest Data Storage's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Data Storage Corp over the last few years. It is Data Storage's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data Storage's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Data Net Receivables Regression Statistics

Arithmetic Mean794,229
Geometric Mean435,532
Coefficient Of Variation120.18
Mean Deviation637,036
Median531,245
Standard Deviation954,489
Sample Variance911B
Range3.5M
R-Value0.64
Mean Square Error584.1B
R-Squared0.40
Significance0.01
Slope135,778
Total Sum of Squares12.8T

Data Net Receivables History

2024752.7 K
20231.3 M
20223.5 M
20212.4 M
2020554.6 K
2019691.4 K
2018531.2 K

About Data Storage Financial Statements

Data Storage shareholders use historical fundamental indicators, such as Net Receivables, to determine how well the company is positioned to perform in the future. Although Data Storage investors may analyze each financial statement separately, they are all interrelated. The changes in Data Storage's assets and liabilities, for example, are also reflected in the revenues and expenses on on Data Storage'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 Receivables1.3 M752.7 K

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 Data Stock Analysis

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