Patel Engineering Share Price Target Tomorrow 2025 To 2030 Experts Analysis & Forecast

Patel Engineering Share Price Target Tomorrow 2025-2030: Patel Engineering is a leading player in the infrastructure sector, with a varied performance history. This article delves into Patel Engineering’s expected price targets and forecasts for the period 2025–2030, based on expert analyses, historical trends, and key financial data. We provide an in-depth outlook of Patel Engineering’s potential growth, including key technical indicators, revenue forecasts, and earnings predictions.

Patel Engineering Share Details

Metric Value
Current Price ₹42.22
52 Week High ₹74.40
52 Week Low ₹40.46
Fear & Greed Index 38.98 (Fear)
Sentiment Bearish
Volatility 3.20%
50-Day SMA ₹47.82
200-Day SMA ₹55.15
14-Day RSI 38.98

As of the latest available data, Patel Engineering’s stock is currently priced at ₹42.22. Despite the stock trading below both its 50-day and 200-day simple moving averages, analysts foresee potential gains in the coming years. The technical indicators suggest a bearish sentiment, although this could change as market conditions evolve.

Patel Engineering Share Price Target & Forecast 2025, 2026, 2027, 2028, 2029 To 2030

Patel Engineering Share Price Target & Forecast 2025 ₹68.10, 2026 ₹84.41, 2027 ₹95.03, 2028 ₹108.34, 2029 ₹112.94 To 2030 ₹138.42.

  • Headquarters: India
  • Number of employees: 4,580 (2025)
  • Subsidiaries: Patel Energy Limited

Patel Engineering Share Price Forecast Summary 2025–2030

Year Price Target (₹) Percent Increase
2025 ₹68.10 61.30%
2026 ₹84.41 99.93%
2027 ₹95.03 125.08%
2028 ₹108.34 156.61%
2029 ₹112.94 167.50%
2030 ₹138.42 227.85%

Category: SHARE PRICE

Patel Engineering Share Price Forecast for 2025

Based on expert analyses and trends, Patel Engineering is projected to experience significant growth in 2025. Analysts predict the share price will fluctuate between ₹57.90 and ₹75.90 throughout the year, with the average price target being ₹68.10. This would represent a 61.30% increase from the current price.

Predicted Monthly Price Targets for 2025:

Month Price Target (₹)
January 2025 ₹58.25
February 2025 ₹57.90
March 2025 ₹59.65
April 2025 ₹62.80
May 2025 ₹65.25
June 2025 ₹68.40
July 2025 ₹71.85
August 2025 ₹73.20
September 2025 ₹75.90
October 2025 ₹74.75
November 2025 ₹73.90
December 2025 ₹75.40

Patel Engineering is expected to gain momentum, with its stock showing potential growth by mid-year and closing 2025 at ₹75.40. The forecast suggests that investors could see a significant upward trajectory in the second half of 2025.

Patel Engineering Share Price Target for 2026

In 2026, Patel Engineering’s stock is expected to reach new heights, with a forecasted price range between ₹76.80 and ₹92.80. Analysts have projected that the stock will likely trade at an average of ₹84.41, representing nearly a 100% increase compared to the current price.

Predicted Monthly Price Targets for 2026:

Month Price Target (₹)
January 2026 ₹76.80
February 2026 ₹77.25
March 2026 ₹78.90
April 2026 ₹81.40
May 2026 ₹83.75
June 2026 ₹82.90
July 2026 ₹84.50
August 2026 ₹87.20
September 2026 ₹86.80
October 2026 ₹89.40
November 2026 ₹91.25
December 2026 ₹92.80

The growth in 2026 reflects optimism around the company’s order book and financial performance. A strong revenue stream and improved market conditions are anticipated to drive this surge.

Patel Engineering Share Price Target for 2027

Looking ahead to 2027, Patel Engineering’s price is expected to continue its upward climb. Analysts project the share price to range between ₹85.40 and ₹105.60, with an average target of ₹95.03, indicating a 125.08% increase from the current price.

Predicted Monthly Price Targets for 2027:

Month Price Target (₹)
January 2027 ₹94.90
February 2027 ₹93.25
March 2027 ₹89.80
April 2027 ₹85.40
May 2027 ₹87.90
June 2027 ₹90.25
July 2027 ₹92.80
August 2027 ₹95.40
September 2027 ₹98.90
October 2027 ₹102.25
November 2027 ₹105.60
December 2027 ₹103.90

By 2027, Patel Engineering’s stock is expected to cross ₹100 and continue its upward trend, boosted by strong earnings and a favorable market environment.

Patel Engineering Share Price Target for 2028

For 2028, analysts expect Patel Engineering’s stock to experience a further surge, potentially reaching between ₹102.40 and ₹118.25. The forecasted average price for 2028 is ₹108.34, reflecting a massive growth rate of 156.61% from the current price.

Predicted Monthly Price Targets for 2028:

Month Price Target (₹)
January 2028 ₹104.75
February 2028 ₹106.90
March 2028 ₹109.25
April 2028 ₹107.60
May 2028 ₹105.90
June 2028 ₹103.25
July 2028 ₹102.40
August 2028 ₹104.90
September 2028 ₹108.75
October 2028 ₹112.40
November 2028 ₹115.80
December 2028 ₹118.25

This sharp increase indicates a sustained positive outlook, largely driven by Patel Engineering’s order book expansion and the completion of large-scale infrastructure projects.

Patel Engineering Share Price Target for 2029

The year 2029 is project to see Patel Engineering’s stock reach new heights, with price targets ranging from ₹102.90 to ₹122.40. The average expected price for the year is ₹112.94, indicating a 167.5% increase from the current price.

Predicted Monthly Price Targets for 2029:

Month Price Target (₹)
January 2029 ₹117.40
February 2029 ₹115.80
March 2029 ₹112.25
April 2029 ₹108.90
May 2029 ₹105.40
June 2029 ₹102.90
July 2029 ₹106.75
August 2029 ₹109.90
September 2029 ₹113.25
October 2029 ₹116.80
November 2029 ₹118.90
December 2029 ₹122.40

This growth trajectory reflects ongoing improvements in revenue and market conditions that could benefit the company in 2029.

Patel Engineering Share Price Target for 2030

By 2030, Patel Engineering is expect to continue its impressive growth, with projections showing a price range between ₹125.80 and ₹151.25. The average price for the year is expect to be ₹138.42, marking a staggering 227.85% increase from the current price.

Predicted Monthly Price Targets for 2030:

Month Price Target (₹)
January 2030 ₹125.80
February 2030 ₹128.90
March 2030 ₹132.25
April 2030 ₹135.80
May 2030 ₹133.90
June 2030 ₹136.75
July 2030 ₹140.40
August 2030 ₹138.90
September 2030 ₹142.75
October 2030 ₹145.90
November 2030 ₹148.40
December 2030 ₹151.25

This long-term forecast shows an optimistic view of Patel Engineering’s future, driven by robust growth in revenues and strong infrastructure demand.

Patel Engineering Analyst Forecast and Recommendations

Analyst Recommendations

  • Buy:00%
  • Hold:00%
  • Sell:00%

Overall Recommendation: Buy

1-Year Share Price Forecast

  • Minimum Forecast:₹62.00
  • Maximum Forecast:₹70.00
  • Average Forecast:₹66.00

Annual Revenue Forecast

  • 2024:₹49.20B
  • 2025:₹56.33B
  • 2026:₹65.70B

Earnings Per Share (EPS) Forecast

  • 2024:₹3.60
  • 2025:₹4.35
  • 2026:₹5.65

Is Patel Engineering a good buy?

Patel Engineering Ltd. has an average target of 72. The consensus estimate represents an upside of 86.00% from the last price of 38.71. View 9 reports from 4 analysts offering long-term price targets for Patel Engineering Ltd.. Reco – This broker has downgraded this stock from it’s previous report.

Who is the owner of Patel Engineering?

Patel Engineering Limited is owned by the Patel family, with Janky Patel serving as the Chairperson following the death of her husband, Rupen Patel, who was the company’s Chairman and Managing Director.

What does Patel Engineering do?

Patel Engineering Limited (PEL) is a major Indian infrastructure and construction company, specializing in projects like dams, tunnels, hydroelectric projects, irrigation, highways, roads, bridges, railways, and real estate development.

Collapsible Section

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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