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

FRGT Stock  USD 1.46  0.01  0.68%   
Freight Technologies Net Debt To EBITDA yearly trend continues to be comparatively stable with very little volatility. Net Debt To EBITDA will likely drop to -0.2 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
(0.19)
Current Value
(0.20)
Quarterly Volatility
0.89771405
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Freight Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Freight Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 232.8 K, Total Revenue of 16.4 M or Other Operating Expenses of 14.6 M, as well as many indicators such as Price To Sales Ratio of 6.12, Dividend Yield of 0.0 or PTB Ratio of 29.91. Freight financial statements analysis is a perfect complement when working with Freight Technologies Valuation or Volatility modules.
  
Check out the analysis of Freight Technologies Correlation against competitors.
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Latest Freight Technologies' 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 Freight 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). Freight Technologies' Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Freight Technologies' 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
Slightly volatile
   Net Debt To E B I T D A   
       Timeline  

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

Arithmetic Mean(0.63)
Coefficient Of Variation(142.57)
Mean Deviation0.69
Median(0.19)
Standard Deviation0.90
Sample Variance0.81
Range2.6104
R-Value(0.31)
Mean Square Error0.78
R-Squared0.1
Significance0.26
Slope(0.06)
Total Sum of Squares11.28

Freight Net Debt To E B I T D A History

2024 -0.2
2023 -0.19
2022 -0.34
2021 -1.44
2020 -0.52
2019 -2.67
2018 -2.52

About Freight Technologies Financial Statements

Freight Technologies 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 Freight Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Freight Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Freight 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
Net Debt To EBITDA(0.19)(0.20)

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Additional Tools for Freight Stock Analysis

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