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

POET Stock  USD 4.25  0.24  5.99%   
POET Technologies Net Debt To EBITDA yearly trend continues to be comparatively stable with very little volatility. Net Debt To EBITDA will likely drop to 0.13 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
0.13552865
Current Value
0.13
Quarterly Volatility
0.43668787
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check POET Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among POET Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 2 M, Other Operating Expenses of 12.6 M or Cost Of Revenue of 1.9 M, as well as many indicators such as Price To Sales Ratio of 102, Dividend Yield of 0.0 or PTB Ratio of 7.26. POET financial statements analysis is a perfect complement when working with POET Technologies Valuation or Volatility modules.
  
Check out the analysis of POET Technologies Correlation against competitors.
For more information on how to buy POET Stock please use our How to Invest in POET Technologies guide.

Latest POET 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 POET 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). POET Technologies' Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in POET 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
Pretty Stable
   Net Debt To E B I T D A   
       Timeline  

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

Arithmetic Mean0.48
Coefficient Of Variation90.49
Mean Deviation0.36
Median0.37
Standard Deviation0.44
Sample Variance0.19
Range1.3728
R-Value(0.12)
Mean Square Error0.20
R-Squared0.01
Significance0.67
Slope(0.01)
Total Sum of Squares2.67

POET Net Debt To E B I T D A History

2024 0.13
2023 0.14
2022 0.48
2021 1.02
2019 -0.18
2018 0.33
2017 0.64

About POET Technologies Financial Statements

POET 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 POET Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in POET Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on POET 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 0.14  0.13 

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Additional Tools for POET Stock Analysis

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