Innodata Stock Performance

INOD Stock  USD 84.85  39.21  85.91%   
Innodata's total-return profile spans short-term moves to multi-year compounding. Over the last 3 months, the expected return is -0.0135%.
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

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  
This benchmark view frames the instrument through return capture and volatility trade-offs. It is intended to show how efficiently risk has translated into return over the selected horizon. Given a 90-day horizon, INOD has been underperforming the market. Compounding this underperformance, INOD is 4.54 times more volatile than its market benchmark. It converts risk into return at a rate of about 0.0%. Dow Jones Industrial is currently generating roughly -0.01% per unit of volatility.

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 PriceHorizonTarget PriceOdds 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.
Given a 90-day horizon, the stock has the beta coefficient of 2.66 . This usually indicates when the benchmark rises, INOD tends to outperform it on average. However, when benchmark returns turn negative, Innodata tends to underperform. Additionally, Innodata has a negative alpha, implying that risk has not been adequately compensated by returns. INOD is significantly underperforming the Dow Jones Industrial.
   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.
Sentiment
Range
LowSentimentHigh
41.3845.6049.82
Details
Intrinsic
Valuation
LowIntrinsicHigh
28.9833.2050.16
Details
Naive
Forecast
LowNextHigh
39.2443.4747.69
Details
Analyst
Consensus
LowTargetHigh
83.0491.25101.29
Details
Innodata's financial and valuation profile is evaluated here relative to direct competitors. Innodata's multiples and operating metrics gain context when measured against direct competitors. Growth rates, profitability, and capital efficiency relative to peers frame Innodata's competitive position. This relative positioning provides the competitive context that single-company analysis alone cannot deliver.

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 Jones2.66
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 Outstanding35.02 million
Cash And Short Term Investments82.23 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.

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