Innodata Revenue vs. Operating Margin

INOD Stock  USD 34.50  0.53  1.51%   
Based on the key profitability measurements obtained from Innodata's financial statements, Innodata may not be well positioned to generate adequate gross income at this time. It has a very high probability of underperforming in January. Profitability indicators assess Innodata's ability to earn profits and add value for shareholders.
 
Total Revenue  
First Reported
1993-03-31
Previous Quarter
32.6 M
Current Value
52.2 M
Quarterly Volatility
6.9 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
At present, Innodata's Sales General And Administrative To Revenue is projected to slightly decrease based on the last few years of reporting. The current year's Operating Cash Flow Sales Ratio is expected to grow to 0.07, whereas EV To Sales is forecasted to decline to 1.56. At present, Innodata's Income Before Tax is projected to decrease significantly based on the last few years of reporting. The current year's Total Other Income Expense Net is expected to grow to about 145.9 K, whereas Net Loss is projected to grow to (862.6 K).
Current ValueLast YearChange From Last Year 10 Year Trend
Gross Profit Margin0.240.3606
Way Down
Pretty Stable
For Innodata profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Innodata to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Innodata utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Innodata's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Innodata over time as well as its relative position and ranking within its peers.
  

Innodata's Revenue Breakdown by Earning Segment

Check out Risk vs Return Analysis.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.
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.

Innodata Operating Margin vs. Revenue Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining Innodata's current stock value. Our valuation model uses many indicators to compare Innodata value to that of its competitors to determine the firm's financial worth.
Innodata is rated second overall in revenue category among its peers. It is currently regarded as number one stock in operating margin category among its peers . The ratio of Revenue to Operating Margin for Innodata is about  396,776,406 . At present, Innodata's Total Revenue is projected to increase significantly based on the last few years of reporting. Comparative valuation analysis is a catch-all technique that is used if you cannot value Innodata by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.

Innodata Revenue vs. Competition

Innodata is rated second overall in revenue category among its peers. Market size based on revenue of Industrials industry is currently estimated at about 11.52 Billion. Innodata maintains roughly 86.78 Million in revenue contributing less than 1% to equities under Industrials industry.

Innodata Operating Margin vs. Revenue

Revenue is income that a firm generates from business activities such us rendering services or selling goods to customers. It is a crucial part of a business and an essential item when evaluating a company's financial statements. Revenues from a firm's primary business operations can be reported on the income statement as sales revenue, net sales, or simply sales, depending on the industry in which a given company operates.

Innodata

Revenue

 = 

Money Received

-

Discounts and Returns

 = 
86.78 M
Revenue is typically recorded when cash or cash equivalents are exchanged for services or goods and can include products or services discounts, promotions, as well as early payments on invoices or services rendered in advance.
Operating Margin shows how much operating income a company makes on each dollar of sales. It is one of the profitability indicators which helps analysts to understand whether the firm is successful or not making money from everyday operations.

Innodata

Operating Margin

 = 

Operating Income

Revenue

X

100

 = 
0.22 %
A good Operating Margin is required for a company to be able to pay for its fixed costs or payout its debt, which implies that the higher the margin, the better. This ratio is most effective in evaluating the earning potential of a company over time when comparing it against a firm's competitors.

Innodata Operating Margin Comparison

Innodata is currently under evaluation in operating margin category among its peers.

Innodata Profitability Projections

The most important aspect of a successful company is its ability to generate a profit. For investors in Innodata, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Innodata will eventually generate negative long term returns. The profitability progress is the general direction of Innodata's change in net profit over the period of time. It can combine multiple indicators of Innodata, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
Last ReportedProjected for Next Year
Accumulated Other Comprehensive Income-1.6 M-1.7 M
Operating Income939 K986 K
Income Before Tax139 K268.2 K
Total Other Income Expense Net139 K145.9 K
Net Loss-908 K-862.6 K
Income Tax ExpenseM839.1 K
Net Loss-10 M-9.5 M
Net Loss-4.5 M-4.3 M
Non Operating Income Net Other85.5 K151.4 K
Interest Income124.2 K130.4 K
Net Interest Income-132 K-125.4 K
Change To Netincome4.6 M4.8 M
Net Loss(0.03)(0.03)
Income Quality(6.50)(6.18)
Net Loss(6.53)(6.21)

Innodata Profitability Driver Comparison

Profitability drivers are factors that can directly affect your investment outlook on Innodata. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Innodata position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Innodata's important profitability drivers and their relationship over time.

Use Innodata in pair-trading

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 Innodata 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 Innodata will appreciate offsetting losses from the drop in the long position's value.

Innodata Pair Trading

Innodata Pair Trading Analysis

The ability to find closely correlated positions to Innodata could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Innodata 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 Innodata - 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 Innodata to buy it.
The correlation of Innodata 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 Innodata moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innodata 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 Innodata 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.
Pair CorrelationCorrelation Matching

Use Investing Themes to Complement your Innodata position

In addition to having Innodata in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run USD Crypto Fund Thematic Idea Now

USD Crypto Fund
USD Crypto Fund Theme
Fund from digital currency traded on multiple global exchanges in US dollors. The USD Crypto Fund theme has 24 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize USD Crypto Fund Theme or any other thematic opportunities.
View All  Next Launch
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 Risk vs Return Analysis.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
To fully project Innodata's future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of Innodata at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include Innodata's income statement, its balance sheet, and the statement of cash flows.
Potential Innodata investors and stakeholders can use historical trends found within financial statements to determine how well the company is positioned for the future. Although Innodata investors may work on each financial statement separately, they are all related. The changes in Innodata's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Innodata'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. Please read more on our technical analysis and fundamental analysis pages.