Enersys Property Plant And Equipment Net from 2010 to 2024

ENS Stock  USD 95.04  0.78  0.83%   
Enersys Property Plant And Equipment Net yearly trend continues to be comparatively stable with very little volatility. Property Plant And Equipment Net will likely drop to about 413.1 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 Enersys' investment in assets used for production. View All Fundamentals
 
Property Plant And Equipment Net  
First Reported
2003-03-31
Previous Quarter
547.1 M
Current Value
582.3 M
Quarterly Volatility
83.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Enersys financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Enersys' main balance sheet or income statement drivers, such as Depreciation And Amortization of 65 M, Interest Expense of 36.4 M or Total Revenue of 2.4 B, as well as many indicators such as Price To Sales Ratio of 0.65, Dividend Yield of 0.0087 or PTB Ratio of 1.42. Enersys financial statements analysis is a perfect complement when working with Enersys Valuation or Volatility modules.
  
Check out the analysis of Enersys Correlation against competitors.
For more information on how to buy Enersys Stock please use our How to Invest in Enersys guide.

Latest Enersys' Property Plant And Equipment Net Growth Pattern

Below is the plot of the Property Plant And Equipment Net of Enersys 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. Enersys' Property Plant And Equipment Net historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Enersys' 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  

Enersys Property Plant And Equipment Net Regression Statistics

Arithmetic Mean415,152,140
Geometric Mean406,937,050
Coefficient Of Variation21.08
Mean Deviation70,229,240
Median390,260,000
Standard Deviation87,506,960
Sample Variance7657.5T
Range333.2M
R-Value0.83
Mean Square Error2506.3T
R-Squared0.70
Significance0.0001
Slope16,325,120
Total Sum of Squares107204.6T

Enersys Property Plant And Equipment Net History

2024413.1 M
2023608.9 M
2022513.3 M
2021503.3 M
2020497.1 M
2019480 M
2018409.4 M

About Enersys Financial Statements

Enersys shareholders use historical fundamental indicators, such as Property Plant And Equipment Net, to determine how well the company is positioned to perform in the future. Although Enersys investors may analyze each financial statement separately, they are all interrelated. The changes in Enersys' assets and liabilities, for example, are also reflected in the revenues and expenses on on Enersys' 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
Property Plant And Equipment Net608.9 M413.1 M

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Additional Tools for Enersys Stock Analysis

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