A2Z Property Plant And Equipment Net from 2010 to 2024

AZ Stock  USD 6.70  0.11  1.67%   
A2Z Smart Property Plant And Equipment Net yearly trend continues to be fairly stable with very little volatility. Property Plant And Equipment Net will likely drop to about 1.3 M in 2024. Property Plant And Equipment Net is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects A2Z Smart's investment in assets used for production. View All Fundamentals
 
Property Plant And Equipment Net  
First Reported
2019-12-31
Previous Quarter
1.8 M
Current Value
1.7 M
Quarterly Volatility
692 K
 
Covid
Check A2Z Smart financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among A2Z Smart's main balance sheet or income statement drivers, such as Interest Expense of 121.3 K, Depreciation And Amortization of 1.1 M or Selling General Administrative of 13.9 M, as well as many indicators such as Price To Sales Ratio of 3.98, Dividend Yield of 0.0011 or PTB Ratio of 20.11. A2Z financial statements analysis is a perfect complement when working with A2Z Smart Valuation or Volatility modules.
  
Check out the analysis of A2Z Smart Correlation against competitors.

Latest A2Z Smart's Property Plant And Equipment Net Growth Pattern

Below is the plot of the Property Plant And Equipment Net of A2Z Smart Technologies over the last few years. It is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects the company's investment in assets used for production. A2Z Smart's Property Plant And Equipment Net historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in A2Z Smart's overall financial position and show how it may be relating to other accounts over time.
Property Plant And Equipment Net10 Years Trend
Slightly volatile
   Property Plant And Equipment Net   
       Timeline  

A2Z Property Plant And Equipment Net Regression Statistics

Arithmetic Mean689,456
Geometric Mean508,097
Coefficient Of Variation95.68
Mean Deviation515,735
Median326,000
Standard Deviation659,701
Sample Variance435.2B
Range2M
R-Value0.72
Mean Square Error224.6B
R-Squared0.52
Significance0
Slope106,457
Total Sum of Squares6.1T

A2Z Property Plant And Equipment Net History

20241.3 M
20231.9 M
20222.4 M
20211.1 M
2020456 K

About A2Z Smart Financial Statements

A2Z Smart investors use historical fundamental indicators, such as A2Z Smart's Property Plant And Equipment Net, 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 A2Z Smart. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Property Plant And Equipment Net1.9 M1.3 M

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 A2Z Stock Analysis

When running A2Z Smart's price analysis, check to measure A2Z Smart'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 A2Z Smart is operating at the current time. Most of A2Z Smart's value examination focuses on studying past and present price action to predict the probability of A2Z Smart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move A2Z Smart's price. Additionally, you may evaluate how the addition of A2Z Smart to your portfolios can decrease your overall portfolio volatility.