Innodata Debt To Equity from 2010 to 2024

INOD Stock  USD 45.18  1.05  2.27%   
Innodata's Debt To Equity is decreasing over the years with slightly volatile fluctuation. Overall, Debt To Equity is projected to go to -0.12 this year. Debt To Equity is a measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets. View All Fundamentals
 
Debt To Equity  
First Reported
2010-12-31
Previous Quarter
(0.12)
Current Value
(0.12)
Quarterly Volatility
0.12929921
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Innodata financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Innodata's main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.3 M, Interest Expense of 187.9 K or Total Revenue of 57.1 M, as well as many indicators such as Price To Sales Ratio of 1.76, Dividend Yield of 0.0 or PTB Ratio of 9.35. Innodata financial statements analysis is a perfect complement when working with Innodata Valuation or Volatility modules.
  
Check out the analysis of Innodata Correlation against competitors.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.

Latest Innodata's Debt To Equity Growth Pattern

Below is the plot of the Debt To Equity of Innodata over the last few years. It is a measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets. Innodata's Debt To Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Innodata's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.24 %10 Years Trend
Slightly volatile
   Debt To Equity   
       Timeline  

Innodata Debt To Equity Regression Statistics

Arithmetic Mean0.05
Coefficient Of Variation263.91
Mean Deviation0.11
Median0.08
Standard Deviation0.13
Sample Variance0.02
Range0.388
R-Value(0.57)
Mean Square Error0.01
R-Squared0.32
Significance0.03
Slope(0.02)
Total Sum of Squares0.23

Innodata Debt To Equity History

2023 -0.12
2022 -0.14
2020 -0.0824
2019 0.17
2017 0.25
2016 0.15
2015 0.0414

About Innodata Financial Statements

Innodata stakeholders use historical fundamental indicators, such as Innodata's Debt To Equity, to determine how well the company is positioned to perform in the future. Although Innodata investors may analyze each financial statement separately, they are all interrelated. For example, changes in Innodata's assets and liabilities are reflected in the revenues and expenses on Innodata's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Innodata. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Debt To Equity(0.14)(0.12)

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Innodata is a strong investment it is important to analyze Innodata's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Innodata's future performance. For an informed investment choice regarding Innodata Stock, refer to the following important reports:
Check out the analysis of Innodata Correlation against competitors.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.
You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Is Data Processing & Outsourced Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Innodata. If investors know Innodata will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Innodata listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
50
Earnings Share
0.11
Revenue Per Share
4.764
Quarterly Revenue Growth
1.356
Return On Assets
0.1351
The market value of Innodata is measured differently than its book value, which is the value of Innodata that is recorded on the company's balance sheet. Investors also form their own opinion of Innodata's value that differs from its market value or its book value, called intrinsic value, which is Innodata's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Innodata's market value can be influenced by many factors that don't directly affect Innodata's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Innodata's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innodata is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innodata's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.