Innodata Stock Analysis

Innodata Stock Analysis Notes

About 40.0% of the company shares are owned by institutional investors. The company has Price/Earnings (P/E) ratio of 159.5. Innodata had not issued any dividends in recent years. The entity had 2:1 split on the 26th of March 2001. Innodata Inc. operates as a global data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. Innodata Inc. was incorporated in 1988 and is headquartered in Ridgefield Park, New Jersey. Innodata operates under Information Technology Services classification in the United States and is traded on NASDAQ Exchange. It employs 4500 people. To learn more about Innodata call Jack Abuhoff at 201 371 8000 or check out https://www.innodata.com.

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Innodata Environmental, Social, and Governance (ESG) Scores

Innodata Stock Institutional Investors

Note, although Innodata's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Innodata Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.14 B.

Innodata Profitablity

The company has Profit Margin (PM) of 0.15 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.22 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.22.

Management Efficiency

Innodata has return on total asset (ROA) of 0.1351 % which means that it generated a profit of $0.1351 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.5792 %, meaning that it created $0.5792 on every $100 dollars invested by stockholders. Innodata's management efficiency ratios could be used to measure how well Innodata manages its routine affairs as well as how well it operates its assets and liabilities. As of November 30, 2024, Return On Tangible Assets is expected to decline to -0.02. The current year's Return On Capital Employed is expected to grow to -0.42. At present, Innodata's Other Assets are projected to decrease significantly based on the last few years of reporting. The current year's Deferred Long Term Asset Charges is expected to grow to about 1.7 M, whereas Non Current Assets Total are forecasted to decline to about 14.3 M.

Technical Drivers

As of the 30th of November, Innodata retains the Market Risk Adjusted Performance of 0.501, downside deviation of 5.08, and Risk Adjusted Performance of 0.1323. Innodata technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Innodata jensen alpha, as well as the relationship between the potential upside and skewness to decide if Innodata is priced fairly, providing market reflects its last-minute price of 41.08 per share. Given that Innodata has jensen alpha of 1.24, we strongly advise you to confirm Innodata's regular market performance to make sure the company can sustain itself at a future point.

Innodata Price Movement Analysis

Innodata Insider Trading Activities

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Innodata Predictive Daily Indicators

Innodata Corporate Filings

Innodata Forecast Models

Innodata's time-series forecasting models are one of many Innodata's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Innodata's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Innodata prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Innodata shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Innodata. By using and applying Innodata Stock analysis, traders can create a robust methodology for identifying Innodata entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Innodata analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Innodata analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Innodata stock analysis indicators help investors evaluate how Innodata stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Innodata shares will generate the highest return on investment. By understating and applying Innodata stock analysis, traders can identify Innodata position entry and exit signals to maximize returns.

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