Alarum Operating Cycle from 2010 to 2026

ALAR Stock   9.66  0.27  2.88%   
Alarum Technologies Operating Cycle yearly trend continues to be relatively stable with very little volatility. Operating Cycle is likely to drop to 46.79. During the period from 2010 to 2026, Alarum Technologies Operating Cycle destribution of quarterly values had range of 289 from its regression line and mean deviation of  72.43. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
49.25
Current Value
46.79
Quarterly Volatility
90.41213709
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Alarum Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Alarum Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 848.2 K, Interest Expense of 307.9 K or Total Revenue of 38.6 M, as well as many indicators such as Price To Sales Ratio of 5.06, Dividend Yield of 0.0 or PTB Ratio of 2.82. Alarum financial statements analysis is a perfect complement when working with Alarum Technologies Valuation or Volatility modules.
  
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Check out the analysis of Alarum Technologies Correlation against competitors.
To learn how to invest in Alarum Stock, please use our How to Invest in Alarum Technologies guide.

Latest Alarum Technologies' Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of Alarum Technologies over the last few years. It is Alarum Technologies' Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Alarum Technologies' overall financial position and show how it may be relating to other accounts over time.
Operating Cycle10 Years Trend
Slightly volatile
   Operating Cycle   
       Timeline  

Alarum Operating Cycle Regression Statistics

Arithmetic Mean127.84
Geometric Mean95.20
Coefficient Of Variation70.72
Mean Deviation72.43
Median119.60
Standard Deviation90.41
Sample Variance8,174
Range289
R-Value(0.58)
Mean Square Error5,766
R-Squared0.34
Significance0.01
Slope(10.42)
Total Sum of Squares130,790

Alarum Operating Cycle History

2026 46.79
2025 49.25
2024 42.83
2023 32.93
2022 17.5
2021 78.42
2020 115.19

About Alarum Technologies Financial Statements

Alarum Technologies shareholders use historical fundamental indicators, such as Operating Cycle, to determine how well the company is positioned to perform in the future. Although Alarum Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Alarum Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Alarum Technologies' 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
Operating Cycle 49.25  46.79 

Pair Trading with Alarum Technologies

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 Alarum Technologies 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 Alarum Technologies will appreciate offsetting losses from the drop in the long position's value.

Moving together with Alarum Stock

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Moving against Alarum Stock

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

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