American Fixed Asset Turnover from 2010 to 2024

AMSWA Stock  USD 10.22  0.10  0.99%   
American Software's Fixed Asset Turnover is decreasing over the years with very volatile fluctuation. Fixed Asset Turnover is expected to dwindle to 11.08. From 2010 to 2024 American Software Fixed Asset Turnover quarterly data regression line had arithmetic mean of  24.85 and r-squared of  0.01. View All Fundamentals
 
Fixed Asset Turnover  
First Reported
2010-12-31
Previous Quarter
16.16
Current Value
11.08
Quarterly Volatility
11.42063175
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check American Software financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among American main balance sheet or income statement drivers, such as Depreciation And Amortization of 90.6 K, Interest Expense of 2.8 M or Selling General Administrative of 18.4 M, as well as many exotic indicators such as Price To Sales Ratio of 1.94, Dividend Yield of 0.0306 or PTB Ratio of 2.01. American financial statements analysis is a perfect complement when working with American Software Valuation or Volatility modules.
  
This module can also supplement American Software's financial leverage analysis and stock options assessment as well as various American Software Technical models . Check out the analysis of American Software Correlation against competitors.
For information on how to trade American Stock refer to our How to Trade American Stock guide.

Latest American Software's Fixed Asset Turnover Growth Pattern

Below is the plot of the Fixed Asset Turnover of American Software over the last few years. It is American Software's Fixed Asset Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in American Software's overall financial position and show how it may be relating to other accounts over time.
Fixed Asset Turnover10 Years Trend
Very volatile
   Fixed Asset Turnover   
       Timeline  

American Fixed Asset Turnover Regression Statistics

Arithmetic Mean24.85
Geometric Mean21.60
Coefficient Of Variation45.96
Mean Deviation8.39
Median22.82
Standard Deviation11.42
Sample Variance130.43
Range48.419
R-Value(0.08)
Mean Square Error139.51
R-Squared0.01
Significance0.77
Slope(0.21)
Total Sum of Squares1,826

American Fixed Asset Turnover History

2024 11.08
2023 16.16
2022 17.96
2021 27.8
2020 22.82
2019 21.28
2018 30.32

About American Software Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include American Software income statement, its balance sheet, and the statement of cash flows. American Software investors use historical funamental indicators, such as American Software's Fixed Asset Turnover, to determine how well the company is positioned to perform in the future. Although American Software investors may use each financial statement separately, they are all related. The changes in American Software's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on American Software's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on American Software Financial Statements. Understanding these patterns can help to make the right decision on long term investment in American Software. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Fixed Asset Turnover 16.16  11.08 
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards American Software in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, American Software's short interest history, or implied volatility extrapolated from American Software options trading.

Pair Trading with American Software

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 American Software 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 American Software will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to American Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American Software 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 American Software - 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 American Software to buy it.
The correlation of American Software 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 American Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American Software 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 American Software 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
When determining whether American Software offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of American Software's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of American Software Stock. Outlined below are crucial reports that will aid in making a well-informed decision on American Software Stock:
Check out the analysis of American Software Correlation against competitors.
For information on how to trade American Stock refer to our How to Trade American Stock guide.
You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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When running American Software's price analysis, check to measure American Software'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 American Software is operating at the current time. Most of American Software's value examination focuses on studying past and present price action to predict the probability of American Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Software's price. Additionally, you may evaluate how the addition of American Software to your portfolios can decrease your overall portfolio volatility.
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Is American Software's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of American Software. If investors know American will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about American Software listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.293
Dividend Share
0.44
Earnings Share
0.31
Revenue Per Share
3.523
Quarterly Revenue Growth
(0.07)
The market value of American Software is measured differently than its book value, which is the value of American that is recorded on the company's balance sheet. Investors also form their own opinion of American Software's value that differs from its market value or its book value, called intrinsic value, which is American Software's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because American Software's market value can be influenced by many factors that don't directly affect American Software's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between American Software's value and its price as these two are different measures arrived at by different means. Investors typically determine if American Software is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, American Software's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.