Tata Elxsi Share Price Target Tomorrow 2025–2030: Tata Elxsi’s stock is currently trading at ₹5,530.70. The price has recently been showing a bearish trend, with key technical indicators signaling a decline. The Fear & Greed Index is at 38.98, indicating fear among investors, and the stock is trading below both the 50-day and 200-day simple moving averages (SMA). With an RSI of 29.93, the stock is in the oversold territory, suggesting it may be undervalued, but experts suggest that now is not the best time to buy.
Tata Elxsi Share Details
| Metric | Value |
| Current Price | ₹5,530.70 |
| 52 Week High | ₹9,080.00 |
| 52 Week Low | ₹5,302.55 |
| Fear & Greed Index | 38.98 (Fear) |
| Volatility | 2.35% |
| 50-Day SMA | ₹6,214.90 |
| 200-Day SMA | ₹6,956.51 |
| 14-Day RSI | 29.93 |
Tata Elxsi Share Price Target & Forecast 2025, 2026, 2027, 2028, 2029 To 2030
Tata Elxsi Share Price Target & Forecast 2025 ₹6,839.71, 2026 ₹7,996.55, 2027 ₹8,828.94, 2028 ₹9,567.73, 2029 ₹10,735.30 To 2030 ₹11,966.91.
- Founded: 1989, Bengaluru
- Headquarters: Bengaluru
- Number of employees: 12,969 (2025)
- Subsidiary: Tata Elxsi (Singapore) Pte. Ltd.
Tata Elxsi Share Price Target Summary 2025–2030
| Year | Price Target | Percent Increase |
| 2025 | ₹6,839.71 | 23.67% |
| 2026 | ₹7,996.55 | 44.58% |
| 2027 | ₹8,828.94 | 59.64% |
| 2028 | ₹9,567.73 | 72.99% |
| 2029 | ₹10,735.30 | 94.1% |
| 2030 | ₹11,966.91 | 116.37% |
Category: SHARE PRICE
Tata Elxsi Share Price Forecast for 2025
Estimated Price Range: ₹6,182.90 – ₹7,698.54
Average Price Target: ₹6,839.71 (23.67% increase from the current price)
The Tata Elxsi stock is expected to fluctuate between ₹6,182.90 and ₹7,698.54 in 2025, with an average price target of ₹6,839.71. This would represent a 23.67% increase from the current market price. Although the stock is experiencing some downturns, analysts predict a recovery by the end of 2025.
| Month | Price Target |
| January 2025 | ₹6,355.20 |
| February 2025 | ₹6,384.50 |
| March 2025 | ₹6,298.75 |
| April 2025 | ₹6,215.40 |
| May 2025 | ₹6,182.90 |
| June 2025 | ₹6,445.65 |
| July 2025 | ₹6,788.30 |
| August 2025 | ₹7,124.15 |
| September 2025 | ₹7,392.40 |
| October 2025 | ₹7,605.80 |
| November 2025 | ₹7,698.54 |
| December 2025 | ₹7,584.90 |
Tata Elxsi Share Price Forecast for 2026
Estimated Price Range: ₹7,492.45 – ₹8,345.80
Average Price Target: ₹7,996.55 (44.58% increase from the current price)
For 2026, Tata Elxsi’s stock price is expected to rise significantly. The price could range from ₹7,492.45 to ₹8,345.80, with an average of ₹7,996.55. This marks an anticipated growth of 44.58% compared to the current stock value. The market’s sentiment could turn more positive as the company strengthens its position.
| Month | Price Target |
| January 2026 | ₹7,492.45 |
| February 2026 | ₹7,585.60 |
| March 2026 | ₹7,742.80 |
| April 2026 | ₹7,928.95 |
| May 2026 | ₹8,084.30 |
| June 2026 | ₹8,292.15 |
| July 2026 | ₹8,345.80 |
| August 2026 | ₹8,276.25 |
| September 2026 | ₹8,158.40 |
| October 2026 | ₹8,024.90 |
| November 2026 | ₹7,982.35 |
| December 2026 | ₹8,044.70 |
Tata Elxsi Share Price Forecast for 2027
Estimated Price Range: ₹8,125.90 – ₹9,245.70
Average Price Target: ₹8,828.94 (59.64% increase from the current price)
The outlook for Tata Elxsi in 2027 is positive. The stock price is expected to range from ₹8,125.90 to ₹9,245.70, with an average of ₹8,828.94. This indicates a 59.64% increase from the current price, signaling continued growth as the company expands its footprint.
| Month | Price Target |
| January 2027 | ₹8,125.90 |
| February 2027 | ₹8,256.40 |
| March 2027 | ₹8,524.75 |
| April 2027 | ₹8,746.20 |
| May 2027 | ₹8,962.90 |
| June 2027 | ₹9,124.35 |
| July 2027 | ₹9,075.80 |
| August 2027 | ₹8,992.45 |
| September 2027 | ₹8,885.60 |
| October 2027 | ₹8,924.90 |
| November 2027 | ₹9,082.35 |
| December 2027 | ₹9,245.70 |
Tata Elxsi Share Price Forecast for 2028
Estimated Price Range: ₹9,285.25 – ₹10,025.40
Average Price Target: ₹9,567.73 (72.99% increase from the current price)
The year 2028 will likely see continued upward momentum for Tata Elxsi. The stock is projected to reach a range between ₹9,285.25 and ₹10,025.40, with an average price target of ₹9,567.73, representing a 72.99% increase from the current price.
| Month | Price Target |
| January 2028 | ₹9,324.80 |
| February 2028 | ₹9,485.60 |
| March 2028 | ₹9,642.30 |
| April 2028 | ₹9,578.90 |
| May 2028 | ₹9,485.45 |
| June 2028 | ₹9,346.80 |
| July 2028 | ₹9,285.25 |
| August 2028 | ₹9,442.70 |
| September 2028 | ₹9,584.55 |
| October 2028 | ₹9,726.80 |
| November 2028 | ₹9,884.25 |
| December 2028 | ₹10,025.40 |
Tata Elxsi Share Price Forecast for 2029
Estimated Price Range: ₹10,156.75 – ₹11,092.45
Average Price Target: ₹10,735.30 (94.1% increase from the current price)
For 2029, Tata Elxsi is expected to continue its upward trajectory, with an estimated price range of ₹10,156.75 to ₹11,092.45. The average price target of ₹10,735.30 indicates a growth of 94.1% compared to the current price.
| Month | Price Target |
| January 2029 | ₹10,156.75 |
| February 2029 | ₹10,324.80 |
| March 2029 | ₹10,485.60 |
| April 2029 | ₹10,656.90 |
| May 2029 | ₹10,824.35 |
| June 2029 | ₹10,985.80 |
| July 2029 | ₹11,092.45 |
| August 2029 | ₹10,956.90 |
| September 2029 | ₹10,784.25 |
| October 2029 | ₹10,685.60 |
| November 2029 | ₹10,824.90 |
| December 2029 | ₹11,045.35 |
Tata Elxsi Share Price Forecast for 2030
Estimated Price Range: ₹11,224.80 – ₹12,485.80
Average Price Target: ₹11,966.91 (116.37% increase from the current price)
Looking towards 2030, the forecasted range for Tata Elxsi’s share price is ₹11,224.80 to ₹12,485.80, with an average price target of ₹11,966.91. This suggests an increase of 116.37% from the current price, marking significant potential growth over the next decade.
| Month | Price Target |
| January 2030 | ₹11,224.80 |
| February 2030 | ₹11,385.60 |
| March 2030 | ₹11,542.90 |
| April 2030 | ₹11,685.35 |
| May 2030 | ₹11,824.80 |
| June 2030 | ₹11,985.60 |
| July 2030 | ₹12,156.90 |
| August 2030 | ₹12,324.35 |
| September 2030 | ₹12,485.80 |
| October 2030 | ₹12,356.90 |
| November 2030 | ₹12,184.25 |
| December 2030 | ₹12,445.70 |
Analyst Recommendations for Tata Elxsi
| Buy | 15.38% |
| Hold | 7.69% |
| Sell | 76.92% |
| Overall Recommendation | Sell |
Share Price Forecast for the Next Year
| Current Share Price | ₹5,530.70 |
| Minimum Forecast | ₹5,400.00 |
| Maximum Forecast | ₹8,963.00 |
| Average Forecast | ₹6,365.54 |
Annual Revenue Forecast
| 2025 | ₹42.23B |
| 2026 | ₹48.05B |
| 2027 | ₹52.91B |
Annual Earnings Per Share (EPS) Forecast
| 2025 | ₹150.84 |
| 2026 | ₹170.91 |
| 2027 | ₹181.90 |
Technical Analysis & Stock Outlook
According to technical analysis, Tata Elxsi is currently in a Bearish trend. The stock is trading below key moving averages, and indicators show a potential decline. However, some oscillators, such as RSI and Momentum, are signaling possible buying opportunities.
Moving Averages & Oscillators
- SMA (10): ₹5,689.51 (Sell)
- EMA (10): ₹5,660.94 (Sell)
- RSI (14): 29.93 (Buy)
- MACD: −234.08 (Sell)
Despite the negative trend, the RSI is in the oversold zone, suggesting that the stock may be due for a rebound in the short term.
What is the full form of Elxsi?
The R&D team working on computer architectures, networking and operating systems pivoted to offer technology services to customers across industries. Elxsi stands for Electronics X system integration.
Who is CEO of Tata Elxsi?
Manoj Raghavan is the CEO & Managing Director of Tata Elxsi. He has over 22 years of industry experience. Prior to taking over the role of CEO & MD, he served as the Executive Vice President and Head of the Embedded Product Design (EPD) division, spearheading the sales, overall delivery, and P&L for this division.
What is the salary range of Tata Elxsi?
The average TATA ELXSI salary ranges from approximately ₹1,10,113 per year (estimate) for a Medical Reviewer to ₹54,98,955 per year (estimate) for a Senior Product Architect.
Our price forecasting model for analyzing Share targets employs a detailed, data-driven approach to determine monthly price projections. This methodology integrates classic analytical tools, including long-term pivot point analysis, historical performance metrics, and volatility assessment. Below, we outline the key components and processes that constitute our forecasting framework. It is essential to recognize that these price estimates are purely mathematical and should not be considered financial advice. Stock markets are highly dynamic, influenced by multiple unpredictable factors that no single model can comprehensively capture.
Long-Term Pivot Point Analysis
At the core of our methodology lies long-term pivot point analysis, complemented by Fibonacci series calculations. These pivot points help determine critical support and resistance levels, providing a structured framework for anticipating potential price movements.
Pivot = Previous Close
Resistance_n = Pivot + (Range × F_n)
Support_n = Pivot - (Range × F_n)
Where:
- F_n represents Fibonacci multipliers (e.g., 0.382, 0.618, 1.000).
- Range is the difference between the highest and lowest prices over a specific period.
Historical Performance Analysis
A stock's historical performance plays a vital role in predicting its future behavior. Our model conducts an extensive analysis of past data to determine average returns over various timeframes, capturing both short-term fluctuations and long-term trends.
Average Return = (1/N) Σ R_i
Where:
- N is the number of periods (e.g., months or quarters).
- R_i represents the return in the i-th period.
Volatility Assessment
Market volatility is a crucial factor in assessing risk and uncertainty associated with stock price movements. Our methodology incorporates a comprehensive evaluation of stock volatility, measured by the standard deviation of historical returns.
σ = √[(1/(N-1)) Σ (R_i - μ)^2]
Where:
- μ is the mean return.
- R_i is the return in the i-th period.
- N is the total number of returns.
Integrated Predictive Modeling
Our forecasting model integrates pivot point analysis, historical performance, and volatility assessments through advanced predictive techniques, ensuring data-driven and adaptable price projections.
- Calibration Based on Historical Performance: Utilizing past average returns and volatility metrics to align future price targets with the stock’s established patterns.
- Mathematical Optimization: Applying techniques such as the Least Squares Method (LSM) to optimize projections, reducing errors and enhancing forecast precision.
- Dynamic Adjustment: Incorporating real-time market data to refine predictions, ensuring forecasts remain relevant and up-to-date.
Target Price Calibration
The final step in our methodology is the precise calibration of monthly price targets, ensuring they align with analytical insights and market conditions.
Target Price_next month = Current Price × (1 + Adjusted Growth Rate)
Where:
- Adjusted Growth Rate is derived from historical average returns and volatility, refined through our integrated predictive modeling approach.
This ensures that price targets account for both growth potential and associated risks, providing balanced and actionable forecasts.
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