Prairie Average Receivables from 2010 to 2026

PROP Stock  USD 1.80  0.02  1.10%   
Prairie Operating Average Receivables yearly trend continues to be relatively stable with very little volatility. Average Receivables is likely to grow to about 77.7 K this year. During the period from 2010 to 2026, Prairie Operating Average Receivables destribution of quarterly values had range of 288.6 K from its regression line and mean deviation of  86,289. View All Fundamentals
 
Average Receivables  
First Reported
2010-12-31
Previous Quarter
40.7 K
Current Value
77.7 K
Quarterly Volatility
107.3 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Prairie Operating financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Prairie Operating's main balance sheet or income statement drivers, such as Other Operating Expenses of 41.6 M, Total Operating Expenses of 37.8 M or Income Tax Expense of 150, as well as many indicators such as Price To Sales Ratio of 12.73, Dividend Yield of 0.0 or PTB Ratio of 1.92. Prairie financial statements analysis is a perfect complement when working with Prairie Operating Valuation or Volatility modules.
  
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Check out the analysis of Prairie Operating Correlation against competitors.
Evaluating Prairie Operating's Average Receivables across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Prairie Operating Co's fundamental strength.

Latest Prairie Operating's Average Receivables Growth Pattern

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

Prairie Average Receivables Regression Statistics

Arithmetic Mean88,410
Geometric Mean44,298
Coefficient Of Variation121.37
Mean Deviation86,289
Median45,214
Standard Deviation107,303
Sample Variance11.5B
Range288.6K
R-Value(0.09)
Mean Square Error12.2B
R-Squared0.01
Significance0.74
Slope(1,865)
Total Sum of Squares184.2B

Prairie Average Receivables History

202677.7 K
202540.7 K
202245.2 K
202116.9 K
201916.8 K
2018230.2 K
2017261.9 K

About Prairie Operating Financial Statements

Prairie Operating shareholders use historical fundamental indicators, such as Average Receivables, to determine how well the company is positioned to perform in the future. Although Prairie Operating investors may analyze each financial statement separately, they are all interrelated. The changes in Prairie Operating's assets and liabilities, for example, are also reflected in the revenues and expenses on on Prairie Operating'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
Average Receivables40.7 K77.7 K

Pair Trading with Prairie Operating

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 Prairie Operating 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 Prairie Operating will appreciate offsetting losses from the drop in the long position's value.

Moving against Prairie Stock

  0.41VNTN VentureNet CapitalPairCorr
The ability to find closely correlated positions to Prairie Operating could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Prairie Operating 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 Prairie Operating - 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 Prairie Operating Co to buy it.
The correlation of Prairie Operating 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 Prairie Operating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Prairie Operating 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 Prairie Operating 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 Prairie Stock Analysis

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