Innodata Stock Performance
| INOD Stock | USD 84.85 39.21 85.91% |
Risk-Adjusted Performance
0High
0 · Weak
The last 90 days of data show Innodata underperforming relative to its volatility profile. Return efficiency below zero signals that holders have absorbed volatility without adequate compensation. Innodata has generated minimal returns over the measured period, suggesting limited compensation for volatility. Learn More
Actual Historical Performance (%)
One Day Return -1.87 | Five Day Return 6.66 | Year To Date Return -10.42 | Ten Year Return 1,975 | All Time Return 2,508 |
Last Split Factor 2:1 | Last Split Date 2001-03-26 |
1 | New York State Common Retirement Fund Has 788,000 Stock Holdings in Innodata Inc. INOD - Market Beat | 02/11/2026 |
2 | Innodata Q 4 Earnings Report What Investors Need to Know | 02/26/2026 |
3 | Got 1,000 to Invest This Tech Stock Could Be the Smartest Move Right Now | 03/09/2026 |
4 | Insider Trading | 03/16/2026 |
5 | Is Innodata Still Attractive After A Multi Year 467 percent Share Price Surge | 03/24/2026 |
6 | Assessing Innodata Valuation After Recent Share Price Pullback And Strong Multi Year Gains | 03/26/2026 |
7 | Acquisition by Ashok Mishra of 43179 shares of Innodata subject to Rule 16 b-3 | 03/30/2026 |
8 | Nexscient Acquires Flipside AI, Completing a 6.2 M Deal to Expand Physical AI Data Capabilities | 04/01/2026 |
9 | Disposition of 5000 shares by Forlenza Louise C of Innodata at 7.24 subject to Rule 16 b-3 | 04/06/2026 |
10 | Why Innodata Is Up 13.5 percent After Expanding Its AI-Focused Credit Facility And Extending Maturity | 04/07/2026 |
11 | 10 Industrials Stocks Whale Activity In Todays Session | 04/13/2026 |
12 | Is Innodata Entering a New Growth Phase With Agentic AI | 04/17/2026 |
13 | Innodata Inc. Pivot to Data Engineering Turning Heads on Wall Street | 04/20/2026 |
14 | Disposition of 3060 shares by Marissa Espineli of Innodata at 53.0 subject to Rule 16 b-3 | 04/24/2026 |
15 | Innodata vs. Exl Service Which AI Data Stock Is the Better Buy | 04/29/2026 |
16 | Has Innodata Run Too Far After Recent Share Price Surge | 05/06/2026 |
Performance Related Modules
Relative Risk vs. Return Landscape
If you had invested $ 4,860 in Innodata on February 7, 2026 and sold it today, you would have lost $ 300.50 , a decline of 6.18% over 90 days. Innodata does not currently generate positive expected returns and carries 4.22% risk (volatility on return distribution) over a 90-day horizon. In relative terms, Innodata exhibits above-average volatility, exceeding roughly 63% of comparable stocks, and INOD has trailed 99% of traded instruments in return over the 90-day horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
One of the most enduring patterns in stock markets is the tendency for prices to revert toward averages. This mean-reverting tendency has been a useful forecasting tool, though some stocks exhibit persistent mispricings. The speed of convergence varies because some stocks carry risk factors not immediately reflected in price. Understanding mean reversion in Innodata Stock helps frame realistic expectations for price normalization over time.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 84.85 | 90 days | 84.85 | close to zero percent |
Applying a normal distribution to this stock, the odds of Innodata moving above the current price in 90 days from now are close to zero percent. Based on past return behavior, the distribution of outcomes has been weighted above current levels over this period. (The probability curve shows the outcome range with the heaviest concentration for Innodata Stock over 90 days). A tighter center suggests recent price behavior has been clustering into a narrower range for Innodata Stock.
Innodata Price Density |
| Price |
Predictive Modules for Innodata
For Innodata, multiple forecasting techniques provide different perspectives on future stock price direction. No method can consistently predict the stock market with certainty, but disciplined forecasting sharpens analysis. Comparing the outputs of diverse models helps set realistic expectations for Innodata price behavior. This multi-model approach prepares for a range of potential outcomes in Innodata.Mean reversion analysis in Innodata's involves identifying price extremes that diverge materially from the historical norm. High prices relative to historical norms contrast with unusually low prices, where recovery expectations may emerge. Mean reversion in Innodata is distinct from trend following, which rides momentum rather than betting on reversals. Momentum identifies the trend while mean reversion identifies when it has extended beyond sustainable levels.
Primary Risk Indicators
The stock market's volatility over the past 10-20 years has tested even experienced investors in Innodata. Large corrections and rapid recoveries have created challenges for investors in Innodata. A disciplined approach to monitoring Innodata's risk indicators supports more effective hedging decisions. Fundamental risk indicators provide the analytical foundation for evaluating Innodata downside exposure.α | Alpha over Dow Jones | -0.1804 | |
β | Beta against Dow Jones | 2.66 | |
σ | Overall volatility | 3.35 | |
Ir | Information ratio | -0.0365 |
Investor Alerts and Insights
Monitoring Innodata alerts is a practical approach to staying informed about material stock changes. Reviewing ongoing notifications for Innodata helps identify opportunities and risks before they are fully priced in. Multiple alert categories for Innodata focus on the signals most relevant to a given strategy. This proactive approach supports better-timed portfolio adjustments.| Innodata generated a negative expected return over the last 90 days | |
| Innodata has high historical volatility and very poor performance | |
| Innodata is unlikely to experience financial distress in the next 2 years | |
| Innodata's Piotroski F-Score indicates relatively stable underlying signals within the model framework, despite current profitability pressure | |
| Latest headline from simplywall.st: Has Innodata Run Too Far After Recent Share Price Surge |
Price Density Drivers
The price of Innodata Stock is driven by buyer and seller positioning dynamics along with broader market trends. Because market risk indicators may produce small false signals, reviewing multiple metrics is recommended. Understanding Innodata's price drivers determines whether movements reflect underlying changes or positioning shifts. Review the table below for a summary of Innodata's key price density metrics.
| Common Stock Shares Outstanding | 35.02 million | |
| Cash And Short Term Investments | 82.23 million |
Innodata Fundamentals Growth
Innodata's financial fundamentals are the foundation of Innodata Stock market pricing and valuation. Metrics like earnings growth, revenue consistency, and margin trends collectively determine market sentiment toward Innodata Stock. Innodata Stock market pricing reflects the collective assessment of Innodata's financial fundamentals. These fundamental drivers have a direct and measurable impact on Innodata Stock performance.
| Current Valuation | 1.44 B | |||
| Shares Outstanding | 32.66 M | |||
| Earnings Per Share | 0.92 X | |||
Performance Metrics & Calculation Methodology
Benchmark comparison for Innodata clarifies whether returns reflect stock-specific outcomes or market-wide trends. Benchmark-relative positioning reveals whether results stem from exposure choice or market direction. Innodata shows ROE of 37.76%, ROA of 17.67% (TTM) vs 20.0% (last reported).
Innodata inputs come from periodic company reporting and market reference feeds and are mapped into a consistent reporting framework. Sell-side coverage, where present, supplements the data shown. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Michael Smolkin, Member of Macroaxis Board of Directors