Enersys Short Long Term Debt Total from 2010 to 2024
| ENS Stock | USD 106.28 0.98 0.91% |
Short and Long Term Debt Total | First Reported 2003-03-31 | Previous Quarter 911.8 M | Current Value 914.3 M | Quarterly Volatility 336.2 M |
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 67.6 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.
Enersys | Short Long Term Debt Total |
Latest Enersys' Short Long Term Debt Total Growth Pattern
Below is the plot of the Short Long Term Debt Total of Enersys over the last few years. It is Enersys' Short and Long Term Debt Total 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.
| Short Long Term Debt Total | 10 Years Trend |
|
Short Long Term Debt Total |
| Timeline |
Enersys Short Long Term Debt Total Regression Statistics
| Arithmetic Mean | 710,217,473 | |
| Geometric Mean | 602,770,832 | |
| Coefficient Of Variation | 52.79 | |
| Mean Deviation | 316,984,021 | |
| Median | 628,631,000 | |
| Standard Deviation | 374,913,993 | |
| Sample Variance | 140560.5T | |
| Range | 1.1B | |
| R-Value | 0.80 | |
| Mean Square Error | 55460.7T | |
| R-Squared | 0.63 | |
| Significance | 0.0004 | |
| Slope | 66,731,285 | |
| Total Sum of Squares | 1967847T |
Enersys Short Long Term Debt Total History
About Enersys Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Enersys income statement, its balance sheet, and the statement of cash flows. Enersys investors use historical funamental indicators, such as Enersys's Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Although Enersys investors may use each financial statement separately, they are all related. The changes in Enersys's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Enersys'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 Enersys Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Enersys. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Short and Long Term Debt Total | 914.3 M | 656.8 M |
Pair Trading with Enersys
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 Enersys 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 Enersys will appreciate offsetting losses from the drop in the long position's value.Moving together with Enersys Stock
| 0.9 | BE | Bloom Energy Corp | PairCorr |
| 0.75 | KE | Kimball Electronics Fiscal Year End 21st of August 2024 | PairCorr |
| 0.64 | ROBOF | RoboGroup TEK | PairCorr |
| 0.79 | ENVX | Enovix Corp Earnings Call This Week | PairCorr |
Moving against Enersys Stock
| 0.78 | FLUX | Flux Power Holdings Fiscal Year End 19th of September 2024 | PairCorr |
| 0.61 | ESP | Espey Mfg Electronics | PairCorr |
| 0.55 | ELVA | Electrovaya Common Shares Earnings Call This Week | PairCorr |
| 0.55 | EPOW | Sunrise New Energy | PairCorr |
| 0.54 | EOSE | Eos Energy Enterprises Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Enersys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enersys 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 Enersys - 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 Enersys to buy it.
The correlation of Enersys 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 Enersys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enersys 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 Enersys 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.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.