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Upturn AI Summary - About
Innodata Inc(INOD)
Advisory History & Simulated Performance *
*as per simulation (see disclosures)- ALL
- 1Y
- 1M
- 1W
- BUY Advisory
- SELL Advisory (Profit)
- SELL Advisory (Loss)
- Profit
- Loss
- PASS (Skip)
Stock price based on last close Advisory Performance History (Simulated)
Upturn Advisory & Investor View for INOD
10/20/2026: INOD (2-star) is a SELL. SELL for 5 days. Simulated Profits (-23.22%). Updated daily EoD!
Innodata Inc is a technology services provider that has successfully pivoted to focus on high-quality AI data engineering and fine-tuning services for large language models. The company’s main strength lies in its ability to manage complex human-in-the-loop workflows, which are essential for its major technology clients. Its primary growth story is tied to the accelerating demand for accurate data in the generative AI space. However, potential investors must weigh this against risks like significant client concentration, operational labor risks, and evolving AI technologies. Innodata suits growth-oriented investors who can tolerate high volatility, with key developments to monitor being contract renewals and margins.
How to Read the Upturn Advisory
The Upturn Star Rating and the current BUY, SELL, or PASS advisory are generated by Upturn’s AI advisory engine based on proprietary signal analysis, price behavior, advisory history, and historical signal performance.
Company fundamentals, valuation, risks, and news provide supporting context about the business.
Investor Fit
| Investor style | Fit | Why |
|---|---|---|
| Growth investor | Strong fit | The company is positioned in the high-growth generative AI data services market. |
| Momentum investor | Strong fit while signal remains positive | The stock often exhibits high volatility and strong price action linked to AI industry developments. |
| Value investor | Weak fit | Valuations are often driven by future growth expectations rather than current earnings multiples. |
| Dividend investor | Weak fit | The company does not pay dividends, focusing on growth. |
| Low-risk investor | Weak fit | High volatility and operational risks make this unsuitable for conservative portfolios. |
Risk Profile
| Risk factor | Level | Why it matters |
|---|---|---|
| Price volatility | High | The stock is sensitive to AI sentiment and news, leading to sharp price fluctuations. |
| Valuation risk | Medium / high | Current prices reflect significant future growth, leaving little room for earnings disappointment. |
| Competition risk (AI data services) | High | The sector is crowded with well-funded competitors and potential technological shifts. |
| Business quality | Medium | While the services are in high demand, the business model relies heavily on a limited number of large-scale clients. |
| Dividend income | Low / none | There is no dividend income stream for investors. |
| Execution risk | Medium / high | Scaling operations to meet the rigorous demands of LLM developers is operationally complex. |
Price Behavior
Strong Uptrend
The stock has maintained a strong upward price trend across the last three quarters.
Extreme Price Shocks
The stock has experienced exceptionally large and disruptive price movements during the period.
Analysis of Past Performance
Type Stock | Historic Profit 50.62% | Avg. Invested days 24 | Today’s Advisory SELL |
Upturn Advisory Rating  | Upturn Advisory Performance  3.0 | Stock Returns Performance  3.0 |
| Profits based on simulation | Last Close 10/20/2026 |
Upturn Scorecard
Upturn Star Rating 
Company Fundamentals
Financial Health Rating
Growth Momentum Score
Ownership
Top 5 Institutional Investors
Unit Economics (Per $1K Revenue)
Economic Dimensions
Quantitative Style Profile
Style Classification
Quality Focused
Key Highlights
Company Size Small-Cap Stock | Market Capitalization 1.86B USD | Price to earnings Ratio 41.86 | 1Y Target Price 122.75 |
Price to earnings Ratio 41.86 | 1Y Target Price 122.75 | ||
Volume (30-day avg) 1.4M shares | Beta 2.98 | 52 Weeks Range 34.23 - 125.14 | Updated Date 10/19/2026 |
52 Weeks Range 34.23 - 125.14 | Updated Date 10/19/2026 | ||
Dividends yield (FY) - | Basic EPS (TTM) 1.29 |
How Company Makes Money
| Business area | What it includes | Retail investor read |
|---|---|---|
| AI Data Engineering | Data annotation, model fine-tuning, and RLHF services. | Innodata makes money by helping big tech companies train their AI models with human-verified data. |
| Digital Transformation Services | Legacy content management and data conversion. | The company helps older businesses modernize their data archives to make them usable for new software. |
Analyzing Revenue: Products, Geography and Growth
Revenue by Products
Product revenue - Year on Year
Revenue by Geography
Geography revenue - Year on Year
Valuation
Trailing PE 41.86 | Forward PE 31.35 | Enterprise Value 2.23B | Price to Sales(TTM) 5.85 |
Enterprise Value 2.23B | Price to Sales(TTM) 5.85 | ||
Enterprise Value to Revenue 7.03 | Enterprise Value to EBITDA 35.03 | Shares Outstanding 34.38M | Shares Floating 33.09M |
Shares Outstanding 34.38M | Shares Floating 33.09M | ||
Percent Insiders 4.86 | Percent Institutions 60.35 |
Financial Metrics
🧭 Investment Snapshot
Total Revenue (Scale)
Total money earned from selling products or services before any costs. It is needed to understand the scale of the business and its ability to generate income.
Net Income (Profit)
Final profit after all expenses, interest, and taxes are deducted. It is needed to determine the overall profitability available to shareholders.
Free Cash Flow (Cash Strength)
Cash remaining after operating activities and capital expenditures, showing cash available for growth. It is needed to evaluate the company’s ability to invest, pay dividends, or reduce debt.
📈 Growth & Strength
Operating Income (Core Profit)
Profit from core operations after deducting all operating expenses. It is needed to measure how efficiently the company runs its primary business activities.
EBITDA (Cash Earnings)
Earnings before interest, taxes, depreciation, and amortization, indicating operating cash potential. It is needed to compare operating performance across companies without accounting or financing differences.
Gross Profit (Unit Profitability)
Revenue minus cost of revenue, showing profit after direct production costs. It is needed to evaluate core business profitability before overhead expenses.
🛡️ Financial Safety
Cash (Liquidity Buffer)
Total cash and cash equivalents on hand. It is needed to evaluate immediate liquidity and financial flexibility.
Total Debt (Leverage Risk)
Total debt including both short-term and long-term components. It is needed to assess the company’s leverage and financial risk.
Net Working Capital (Short-Term Health)
Current assets minus current liabilities, indicating short-term liquidity strength. It is needed to assess whether the company can meet its short-term obligations.
🧱 Balance Sheet Strength
Stockholder Equity (Net Worth)
Total equity value held by shareholders. It is needed to understand the net worth of the company from the owners’ perspective.
Total Assets (Asset Base)
The full value of everything the company owns, including cash, inventory, equipment, and investments. It is needed to understand the resource base used to generate revenue.
Income Before Tax (Pre-Tax Earnings)
Income before provision for income taxes. It is needed to analyze profitability independent of tax structures.
⚙️ Cost & Drag Factors
Cost of Revenue (Production Cost)
Direct costs required to produce and deliver the products or services sold. It is needed to assess efficiency in production and service delivery.
Total Operating Expenses (Operating Cost)
Indirect costs of running the business such as salaries, marketing, and administration. It is needed to understand how much it costs to sustain ongoing business operations.
Income Tax Expense (Tax Drag)
Amount of taxes paid or payable to the government. It is needed to evaluate the impact of taxation on overall profitability.
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