BHEL Share Price Target 2025 – Choice Broking: Choice Broking has initiated coverage on Bharat Heavy Electricals Limited (BHEL.NS), assigning a “Buy” rating with a price target of Rs 370. This target represents an upside of approximately 90% from the current market price. Despite recent market volatility following the company’s announcement of an arbitration case, BHEL remains optimistic about its future prospects.
BHEL Share Price Today Update
On 2025, BHEL shares are trading at Rs 192.81, marking a decline of 1.83% from the previous closing of Rs 196.41. The stock reached an intraday high of Rs 194.98 and an intraday low of Rs 190.55. As of this date, the company’s market capitalization stands at Rs 663.507 billion. Over the past 52 weeks, the stock has hit a high of Rs 335.35 and a low of Rs 183.19. The trading volume on the NSE on 2025, was 8,191,737 shares.
BHEL Share Price Target – Choice Broking’s Outlook
Choice Broking has issued a “Buy” recommendation for BHEL with a price target of Rs 370, representing a potential 90% upside from the current price. The brokerage sees growth in BHEL driven by a strong order book, particularly in the defense sector, and the company’s robust execution capabilities. Additionally, the government’s focus on defense indigenization is expected to support BHEL’s future prospects. The company reported impressive Q3FY25 results, with revenue increasing by 39.3% YoY to Rs 57.7 billion, significantly surpassing estimates. EBITDA grew by 55.7% YoY to Rs 16.7 billion, and margins expanded by 304 bps to 28.9% due to effective cost-control measures. PAT saw a YoY growth of 51.3%, reaching Rs 130.1 billion.
BHEL’s Financial Forecast: Robust Growth Projections
BHEL boasts a solid order book valued at Rs 711 billion, which is 3.1 times its trailing 12-month sales. The company aims to secure orders worth Rs 250 billion for FY2025 and has already won Rs 110 billion worth of orders in the first nine months of FY25. Apart from the defense sector, BHEL is diversifying into non-defense areas like metro projects and civil aviation, which are expected to contribute 15-20% to the company’s revenue in the future. The brokerage forecasts a 19.8% compound annual growth rate (CAGR) for BHEL between FY24-27, supported by defense modernization, indigenization, and export orders. Revenue growth is projected at 19.8% CAGR over this period, with EBITDA margins expected to range between 24.9% and 25.2%. EPS is anticipated to grow from Rs 5.5 in FY24 to Rs 9.24 in FY27.
BHEL.NS: Analyst Price Target
| Analyst | Current Price (Rs) | Rating | Price Target (Rs) | Upside (%) |
| Choice Broking | 192.81 | Buy | 370.00 | 90% |
BHEL Financial Performance (Rs Billion)
| Metric | FY25E | FY26E | FY27E |
| Revenue | 241.2 | 284.6 | 338.7 |
| EBITDA | 59.7 | 71.5 | 85.1 |
| EBITDA Margin (%) | 24.8 | 25.1 | 25.1 |
| Adjusted PAT | 47.2 | 56.9 | 67.6 |
| EPS | 6.5 | 7.8 | 9.2 |
| ROE (%) | 26.7 | 29.4 | 31.7 |
| ROCE (%) | 30.9 | 34.3 | 37.2 |
| PE (x) | 43.1 | 35.8 | 30.2 |
| Price to BV (x) | 11.5 | 10.5 | 9.6 |
Category: Market News
BHEL Stock Performance Overview
| Time Period | BHEL.NS Return (%) | S&P BSE SENSEX Return (%) |
|---|---|---|
| YTD Return | -16.94% | -4.65% |
| 1-Year Return | -16.94% | +1.86% |
| 3-Year Return | +334.50% | +36.63% |
| 5-Year Return | +468.43% | +84.59% |
Disclaimer
The views and recommendations above are those of individual analysts or brokerage firms, and not srusteel.in. Investors should consult with certified experts before making any investment decisions.
BHEL Share Price Target from 2025 to 2030
Here is a table summarizing yearly price target of BHEL share from 2025 to 2030.
|
Year |
Price Target |
Percent Increase |
|
2025 |
₹261.80 |
35.19% |
|
2026 |
₹368.27 |
90.17% |
|
2027 |
₹472.26 |
143.87% |
|
2028 |
₹579.82 |
199.42% |
|
2029 |
₹694.13 |
258.45% |
|
2030 |
₹809.60 |
318.07% |
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.
English
हिंदी