Applied Net Debt To E B I T D A from 2010 to 2024

AIT Stock  USD 277.11  7.88  2.93%   
Applied Industrial Net Debt To EBITDA yearly trend continues to be comparatively stable with very little volatility. Net Debt To EBITDA will likely drop to 0.48 in 2024. Net Debt To EBITDA is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). View All Fundamentals
 
Net Debt To EBITDA  
First Reported
2010-12-31
Previous Quarter
0.50053735
Current Value
0.48
Quarterly Volatility
1.0647914
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Applied Industrial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Applied Industrial's main balance sheet or income statement drivers, such as Depreciation And Amortization of 29.5 M, Interest Expense of 21.6 M or Selling General Administrative of 446.3 M, as well as many indicators such as Price To Sales Ratio of 1.72, Dividend Yield of 0.0072 or PTB Ratio of 4.57. Applied financial statements analysis is a perfect complement when working with Applied Industrial Valuation or Volatility modules.
  
Check out the analysis of Applied Industrial Correlation against competitors.

Latest Applied Industrial's Net Debt To E B I T D A Growth Pattern

Below is the plot of the Net Debt To E B I T D A of Applied Industrial Technologies over the last few years. It is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). Applied Industrial's Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Applied Industrial's overall financial position and show how it may be relating to other accounts over time.
Net Debt To E B I T D A10 Years Trend
Pretty Stable
   Net Debt To E B I T D A   
       Timeline  

Applied Net Debt To E B I T D A Regression Statistics

Arithmetic Mean1.16
Geometric Mean0.98
Coefficient Of Variation91.99
Mean Deviation0.80
Median1.11
Standard Deviation1.06
Sample Variance1.13
Range3.6812
R-Value0.21
Mean Square Error1.17
R-Squared0.04
Significance0.46
Slope0.05
Total Sum of Squares15.87

Applied Net Debt To E B I T D A History

2024 0.48
2023 0.5
2022 0.53
2021 1.23
2020 1.84
2019 2.35
2018 2.87

About Applied Industrial Financial Statements

Applied Industrial shareholders use historical fundamental indicators, such as Net Debt To E B I T D A, to determine how well the company is positioned to perform in the future. Although Applied Industrial investors may analyze each financial statement separately, they are all interrelated. The changes in Applied Industrial's assets and liabilities, for example, are also reflected in the revenues and expenses on on Applied Industrial's 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
Net Debt To EBITDA 0.50  0.48 

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Additional Tools for Applied Stock Analysis

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